Thursday, March 31, 2011
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Predictive Planets and Presaging Palms Review
Predictive Planets and Presaging Palms Overview
This is a unique book, dealing lucidly with the fascinating predictive sciences of Astrology and Palmistry in a single volume. Profusely illustrated, the book highlights the differences between Western and Hindu systems of Astrology and explains the Hindu art of predicting, giving valuable information on the methodology of predictions, the planets, the signs of the zodiac and on hands and what they reveal. The book also explains the rationale of Astrology and Palmistry against the background of the Fatalism vs. Free Will Controversy.
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Monday, March 28, 2011
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Predictive Modeling: Improving Margins by Identifying and Targeting High-Risk Populations Review
Predictive Modeling: Improving Margins by Identifying and Targeting High-Risk Populations Overview
As technology makes possible the rapid access of patient data, past patterns of behavior, health claims history and pharmaceutical information could hold the key to improving managed care and reining in healthcare costs. In this 60-page special report, "Predictive Modeling: Improving Margins by Identifying and Targeting High-Risk Populations," a panel of experts detail ways health plans use predictive modeling to identify plan members who may need proactive care management. By identifying this at-risk population, health plans can accurately gauge future patient expenses based on prior treatments. Using a combination of technology and web-based tools, health plans can use predictive modeling to project future member and group healthcare costs and price more appropriately for risk. You'll hear from Howard Brill, manager of medical informatics at Monroe Plan for Medical Care Inc.; Danielle Butin, manager, health promotion and wellness, Oxford Health Plans; Michael Cousins, Ph.D, director of informatics, Health Management Corporation; James M. Dolstad, ASA, MAAA, vice president of actuarial services, SHPS Inc.; Dr. Stanley Hochberg, medical director, provider service network; Marilyn Schlein Kramer, CEO and president, DxCG Inc.; and Jerry Osband, MD, chief medical officer, SHPS Inc., on theories, application and results of predictive modeling programs. In this report Brill, Butin, Cousins, Dolstad, Hochberg, Kramer and Osband describe the types of predictive models, the impact of predictive modeling programs and how predictive modeling results can be improved. You'll get details on: -Trends in predictive modeling; -Evidence-based medicine and predictive modeling; -Diseases best suited to predictive modeling; -The role of health risk assessments in predictive modeling; -Validating the integrity of the data -The bottom line impact of predictive modeling programs.
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Fundamentals of Predictive Text Mining (Texts in Computer Science) Review
Fundamentals of Predictive Text Mining (Texts in Computer Science) Overview
One consequence of the pervasive use of computers is that most documents originate in digital form. Widespread use of the Internet makes them readily available. Text mining – the process of analyzing unstructured natural-language text – is concerned with how to extract information from these documents. Developed from the authors’ highly successful Springer reference on text mining, Fundamentals of Predictive Text Mining is an introductory textbook and guide to this rapidly evolving field. Integrating topics spanning the varied disciplines of data mining, machine learning, databases, and computational linguistics, this uniquely useful book also provides practical advice for text mining. In-depth discussions are presented on issues of document classification, information retrieval, clustering and organizing documents, information extraction, web-based data-sourcing, and prediction and evaluation. Background on data mining is beneficial, but not essential. Where advanced concepts are discussed that require mathematical maturity for a proper understanding, intuitive explanations are also provided for less advanced readers. Topics and features: presents a comprehensive, practical and easy-to-read introduction to text mining; includes chapter summaries, useful historical and bibliographic remarks, and classroom-tested exercises for each chapter; explores the application and utility of each method, as well as the optimum techniques for specific scenarios; provides several descriptive case studies that take readers from problem description to systems deployment in the real world; includes access to industrial-strength text-mining software that runs on any computer; describes methods that rely on basic statistical techniques, thus allowing for relevance to all languages (not just English); contains links to free downloadable software and other supplementary instruction material. Fundamentals of Predictive Text Mining is an essential resource for IT professionals and managers, as well as a key text for advanced undergraduate computer science students and beginning graduate students. Dr. Sholom M. Weiss is a Research Staff Member with the IBM Predictive Modeling group, in Yorktown Heights, New York, and Professor Emeritus of Computer Science at Rutgers University. Dr. Nitin Indurkhya is Professor at the School of Computer Science and Engineering, University of New South Wales, Australia, as well as founder and president of data-mining consulting company Data-Miner Pty Ltd. Dr. Tong Zhang is Associate Professor at the Department of Statistics and Biostatistics at Rutgers University, New Jersey.
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Friday, March 25, 2011
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Predictive Modeling in Disease Management, 2nd Edition Review
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Frameworks of Choice: Predictive and Genetic Testing in Asia (Has) Review
Frameworks of Choice: Predictive and Genetic Testing in Asia (Has) Overview
The first study of its kind in English, Frameworks of Choice provides a comprehensive overview of predictive and genetic testing in China, Japan, India, and Sri Lanka. The volume sheds light on the resources available in each of these countries; analyzes the social, political, and economic backgrounds of those choosing or choosing not to undergo testing; and discusses genetic testing in relation to genetic discrimination, biomedical exploitation, the distribution of health care resources, and nationalism.
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Networked and Distributed Predictive Control: Methods and Nonlinear Process Network Applications (Advances in Industrial Control) Review
Networked and Distributed Predictive Control: Methods and Nonlinear Process Network Applications (Advances in Industrial Control) Overview
Networked and Distributed Predictive Control presents rigorous, yet practical, methods for the design of networked and distributed predictive control systems – the first book to do so. The design of model predictive control systems using Lyapunov-based techniques accounting for the influence of asynchronous and delayed measurements is followed by a treatment of networked control architecture development. This shows how networked control can augment dedicated control systems in a natural way and takes advantage of additional, potentially asynchronous and delayed measurements to maintain closed loop stability and significantly to improve closed-loop performance. The text then shifts focus to the design of distributed predictive control systems that cooperate efficiently in computing optimal manipulated input trajectories that achieve desired stability, performance and robustness specifications but spend a fraction of the time required by centralized control systems. Key features of this book include: • new techniques for networked and distributed control system design; • insight into issues associated with networked and distributed predictive control and their solution; • detailed appraisal of industrial relevance using computer simulation of nonlinear chemical process networks and wind- and solar-energy-generation systems; and • integrated exposition of novel research topics and rich resource of references to significant recent work. A full understanding of Networked and Distributed Predictive Control requires a basic knowledge of differential equations, linear and nonlinear control theory and optimization methods and the book is intended for academic researchers and graduate students studying control and for process control engineers. The constant attention to practical matters associated with implementation of the theory discussed will help each of these groups understand the application of the book’s methods in greater depth.
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Predictive Planetary Periods Review
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Model Predictive Control (Advanced Textbooks in Control and Signal Processing) Review
Model Predictive Control (Advanced Textbooks in Control and Signal Processing) Overview
From power plants to sugar refining, model predictive control (MPC) schemes have established themselves as the preferred control strategies for a wide variety of processes. The second edition of Model Predictive Control provides a thorough introduction to theoretical and practical aspects of the most commonly used MPC strategies. It bridges the gap between the powerful but often abstract techniques of control researchers and the more empirical approach of practitioners. Model Predictive Control demonstrates that a powerful technique does not always require complex control algorithms. The text features material on the following subjects: general MPC elements and algorithms; commercial MPC schemes; generalized predictive control multivariable, robust, constrained and nonlinear MPC; fast methods for MPC implementation; applications. All of the material is thoroughly updated for the second edition with the chapters on nonlinear MPC and MPC implementation being entirely new. Many new exercises and examples have also have also been added throughout and Matlab(r) programs to aid in their solution can be downloaded from the authors' website at XYZ.edu.es. The text is an excellent aid for graduate and advanced undergraduate students and will also be of use to researchers and industrial practitioners wishing to keep abreast of a fast-moving field.
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Predictive Functional Control: Principles and Industrial Applications (Advances in Industrial Control) Review
Predictive Functional Control: Principles and Industrial Applications (Advances in Industrial Control) Overview
The demands of the modern economic climate have led to a dramatic increase in the industrial application of model-based predictive control. Apart from PID, predictive control is probably the most popular control approach in use today. Predictive functional control (PFC) was first used to develop a model-based predictive controller that was easy to understand, implement and tune from an instrumentation engineer’s perspective. In the forty years since, there have been thousands of successful applications of PFC controllers in a large and diverse group of industries. Predictive Functional Control provides readers with: a fundamental understanding of the principles associated with PFC; the basic PFC control equations to be implemented in all programmable logic controllers or digital control systems in block programming form; and tuning rules and implementation procedures. Some new features arising from the needs of the process industries are reported along with many examples of industrial applications.
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Predictive Medicine Review
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Model Predictive Control (Advanced Textbooks in Control and Signal Processing) Review
Model Predictive Control (Advanced Textbooks in Control and Signal Processing) Overview
From power plants to sugar refining, model predictive control (MPC) schemes have established themselves as the preferred control strategies for a wide variety of processes. The second edition of Model Predictive Control provides a thorough introduction to theoretical and practical aspects of the most commonly used MPC strategies. It bridges the gap between the powerful but often abstract techniques of control researchers and the more empirical approach of practitioners. Model Predictive Control demonstrates that a powerful technique does not always require complex control algorithms. The text features material on the following subjects: general MPC elements and algorithms; commercial MPC schemes; generalized predictive control multivariable, robust, constrained and nonlinear MPC; fast methods for MPC implementation; applications. All of the material is thoroughly updated for the second edition with the chapters on nonlinear MPC and MPC implementation being entirely new. Many new exercises and examples have also have also been added throughout and Matlab(r) programs to aid in their solution can be downloaded from the authors' website at XYZ.edu.es. The text is an excellent aid for graduate and advanced undergraduate students and will also be of use to researchers and industrial practitioners wishing to keep abreast of a fast-moving field.
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Cycles of Life: Understanding the Principles of Predictive Astrology Review
Cycles of Life: Understanding the Principles of Predictive Astrology Overview
Change is an inevitable part of life. Major life changes can propel us toward exciting growth or painful setbacks. Astrologer Rod Suskin provides a cosmic roadmap that predicts these developmental phases and offers advice for using these times to our advantage.
Cycles of Life describes how the planets are implicitly connected to important transitions in our lives. Easy-to-follow tables and worksheets help readers track planetary cycles and interpret the results. From there, individuals can gain a new understanding the past and begin preparing for future life changes. The author also shares how the planets affect many aspects of life, including relationships, money management, business, and daily living.
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Cycles of Life: Understanding the Principles of Predictive Astrology Review
Cycles of Life: Understanding the Principles of Predictive Astrology Overview
Change is an inevitable part of life. Major life changes can propel us toward exciting growth or painful setbacks. Astrologer Rod Suskin provides a cosmic roadmap that predicts these developmental phases and offers advice for using these times to our advantage.
Cycles of Life describes how the planets are implicitly connected to important transitions in our lives. Easy-to-follow tables and worksheets help readers track planetary cycles and interpret the results. From there, individuals can gain a new understanding the past and begin preparing for future life changes. The author also shares how the planets affect many aspects of life, including relationships, money management, business, and daily living.
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Measure What Matters to Customers: Using Key Predictive Indicators (KPIs) Review
Measure What Matters to Customers: Using Key Predictive Indicators (KPIs) Overview
Measure What Matters to Customers reveals how to capitalize on Key Predictive Indicators (KPIs), the innovative measures that define the success of your enterprise as your customers do. If you want to increase your company's profits by working smarter, this is the book for you.
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Networked and Distributed Predictive Control: Methods and Nonlinear Process Network Applications (Advances in Industrial Control) Review
Networked and Distributed Predictive Control: Methods and Nonlinear Process Network Applications (Advances in Industrial Control) Overview
Networked and Distributed Predictive Control presents rigorous, yet practical, methods for the design of networked and distributed predictive control systems – the first book to do so. The design of model predictive control systems using Lyapunov-based techniques accounting for the influence of asynchronous and delayed measurements is followed by a treatment of networked control architecture development. This shows how networked control can augment dedicated control systems in a natural way and takes advantage of additional, potentially asynchronous and delayed measurements to maintain closed loop stability and significantly to improve closed-loop performance. The text then shifts focus to the design of distributed predictive control systems that cooperate efficiently in computing optimal manipulated input trajectories that achieve desired stability, performance and robustness specifications but spend a fraction of the time required by centralized control systems. Key features of this book include: • new techniques for networked and distributed control system design; • insight into issues associated with networked and distributed predictive control and their solution; • detailed appraisal of industrial relevance using computer simulation of nonlinear chemical process networks and wind- and solar-energy-generation systems; and • integrated exposition of novel research topics and rich resource of references to significant recent work. A full understanding of Networked and Distributed Predictive Control requires a basic knowledge of differential equations, linear and nonlinear control theory and optimization methods and the book is intended for academic researchers and graduate students studying control and for process control engineers. The constant attention to practical matters associated with implementation of the theory discussed will help each of these groups understand the application of the book’s methods in greater depth.
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Solar Arcs: Astrology's Most Successful Predictive System Review
Solar Arcs: Astrology's Most Successful Predictive System Feature
- ISBN13: 9780738700540
- Condition: New
- Notes: BRAND NEW FROM PUBLISHER! BUY WITH CONFIDENCE, Over one million books sold! 98% Positive feedback. Compare our books, prices and service to the competition. 100% Satisfaction Guaranteed
Solar Arcs: Astrology's Most Successful Predictive System Overview
Solar Arcs --Astrology's Most Successful Prediction System
Improve your predictive techniques with the latest Noel Tyl volume, Solar Arcs --Astrology's Most Successful Prediction System. This is the definitive work on the subject of solar arc directions, and includes:
-Rectification techniques
-Tertiary progressions
-A special 100-year ephemeris
-An index of the meanings for over 1000 midpoint combinations
Noel has used this system for nearly 30 years and now shares his deep insight into this predictive system with astrologers in the U.S. and around the world.
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Predictive Modeling and Risk Assessment (Integrating Safety and Environmental Knowledge Into Food Studies towards European Sustainable Development) Review
Predictive Modeling and Risk Assessment (Integrating Safety and Environmental Knowledge Into Food Studies towards European Sustainable Development) Overview
This is the collected papers presented at the Integrating Safety and Environmental Knowledge Into Food Studies towards European Sustainable Development (ISEKI) workshop on risk assessment in the food industry.
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Predictive Planetary Periods Review
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Modern Predictive Control Review
Modern Predictive Control Overview
Modern Predictive Control explains how MPC differs from other control methods in its implementation of a control action. Most importantly, MPC provides the flexibility to act while optimizing—which is essential to the solution of many engineering problems in complex plants, where exact modeling is impossible.
The superiority of MPC is in its numerical solution. Usually, MPC is employed to solve a finite-horizon optimal control problem at each sampling instant and obtain control actions for both the present time and a future period. However, only the current control move is applied to the plant.
This complete, step-by-step exploration of various approaches to MPC:
- Introduces basic concepts of systems, modeling, and predictive control, detailing development from classical MPC to synthesis approaches
- Explores use of Model Algorithmic Control (MAC), Dynamic Matrix Control (DMC), Generalized Predictive Control (GPC), and Two-Step Model Predictive Control
- Identifies important general approaches to synthesis
- Discusses open-loop and closed-loop optimization in synthesis approaches
- Covers output feedback synthesis approaches with and without a finite switching horizon
This book gives researchers a variety of models for use with one- and two-step control. The author clearly explains the variations between predictive control methods—and the root of these differences—to illustrate that there is no one ideal MPC and that one should remain open to selecting the best possible model in each unique circumstance.
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Predictive Data Mining: A Practical Guide (The Morgan Kaufmann Series in Data Management Systems) Review
Predictive Data Mining: A Practical Guide (The Morgan Kaufmann Series in Data Management Systems) Overview
The potential business advantages of data mining are well documented in publications for executives and managers. However, developers implementing major data-mining systems need concrete information about the underlying technical principles-and their practical manifestations-in order to either integrate commercially available tools or write data-mining programs from scratch. This book is the first technical guide to provide a complete, generalized roadmap for developing data-mining applications, together with advice on performing these large-scale, open-ended analyses for real-world data warehouses.
Note: If you already own Predictive Data Mining: A Practical Guide, please see ISBN 1-55860-477-4 to order the accompanying software. To order the book/software package, please see ISBN 1-55860-478-2.
+ Focuses on the preparation and organization of data and the development of an overall strategy for data mining.
+ Reviews sophisticated prediction methods that search for patterns in big data.
+ Describes how to accurately estimate future performance of proposed solutions.
+ Illustrates the data-mining process and its potential pitfalls through real-life case studies.
Predictive Data Mining: A Practical Guide (The Morgan Kaufmann Series in Data Management Systems) Specifications
Data mining is a hot technology, and this short, authoritative guide shows how it works and why it is gaining ground in the worlds of finance, manufacturing, marketing, and health care. The book begins by exploring the links between "big data"--the data warehouse built up of multiple databases--and traditional statistics. (The authors defend the methods of big data against traditional statistics, which has usually relied on smaller samples. However, they also look at the sources of error in both disciplines.)
The authors then look at the nuts and bolts of the data-mining process. They show how data must be prepared--sometimes reduced--in order to be manageable, and they define the important features. They show how the actual analysis of data mining can be as simple as adding up scores for selected features or how it can use statistical methods or even neural networks. (For some problems, the features themselves aren't known ahead of time; data mining can be used to discover these features automatically.) The authors then discuss how to interpret the results of analysis so that predictions can be made for new cases based on old ones.
The book concludes with short scenarios of how data mining can be applied, with examples drawn from manufacturing, health care, marketing, and publishing. The authors show the strengths--and limits--of data mining and argue that faster hardware and greater database storage capabilities will make this technology more widely used. Though it is written by two researchers in the field, Predictive Data Mining is suitable for general readers who are interested in the topic. --Richard V. Dragan
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Modern Predictive Control Review
Modern Predictive Control Overview
Modern Predictive Control explains how MPC differs from other control methods in its implementation of a control action. Most importantly, MPC provides the flexibility to act while optimizing—which is essential to the solution of many engineering problems in complex plants, where exact modeling is impossible.
The superiority of MPC is in its numerical solution. Usually, MPC is employed to solve a finite-horizon optimal control problem at each sampling instant and obtain control actions for both the present time and a future period. However, only the current control move is applied to the plant.
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- Introduces basic concepts of systems, modeling, and predictive control, detailing development from classical MPC to synthesis approaches
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- Identifies important general approaches to synthesis
- Discusses open-loop and closed-loop optimization in synthesis approaches
- Covers output feedback synthesis approaches with and without a finite switching horizon
This book gives researchers a variety of models for use with one- and two-step control. The author clearly explains the variations between predictive control methods—and the root of these differences—to illustrate that there is no one ideal MPC and that one should remain open to selecting the best possible model in each unique circumstance.
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Predictive Functional Control: Principles and Industrial Applications (Advances in Industrial Control) Review
Predictive Functional Control: Principles and Industrial Applications (Advances in Industrial Control) Overview
The demands of the modern economic climate have led to a dramatic increase in the industrial application of model-based predictive control. Apart from PID, predictive control is probably the most popular control approach in use today. Predictive functional control (PFC) was first used to develop a model-based predictive controller that was easy to understand, implement and tune from an instrumentation engineer’s perspective. In the forty years since, there have been thousands of successful applications of PFC controllers in a large and diverse group of industries. Predictive Functional Control provides readers with: a fundamental understanding of the principles associated with PFC; the basic PFC control equations to be implemented in all programmable logic controllers or digital control systems in block programming form; and tuning rules and implementation procedures. Some new features arising from the needs of the process industries are reported along with many examples of industrial applications.
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Predictive Data Mining: A Practical Guide (The Morgan Kaufmann Series in Data Management Systems) Review
Predictive Data Mining: A Practical Guide (The Morgan Kaufmann Series in Data Management Systems) Overview
The potential business advantages of data mining are well documented in publications for executives and managers. However, developers implementing major data-mining systems need concrete information about the underlying technical principles-and their practical manifestations-in order to either integrate commercially available tools or write data-mining programs from scratch. This book is the first technical guide to provide a complete, generalized roadmap for developing data-mining applications, together with advice on performing these large-scale, open-ended analyses for real-world data warehouses.
Note: If you already own Predictive Data Mining: A Practical Guide, please see ISBN 1-55860-477-4 to order the accompanying software. To order the book/software package, please see ISBN 1-55860-478-2.
+ Focuses on the preparation and organization of data and the development of an overall strategy for data mining.
+ Reviews sophisticated prediction methods that search for patterns in big data.
+ Describes how to accurately estimate future performance of proposed solutions.
+ Illustrates the data-mining process and its potential pitfalls through real-life case studies.
Predictive Data Mining: A Practical Guide (The Morgan Kaufmann Series in Data Management Systems) Specifications
Data mining is a hot technology, and this short, authoritative guide shows how it works and why it is gaining ground in the worlds of finance, manufacturing, marketing, and health care. The book begins by exploring the links between "big data"--the data warehouse built up of multiple databases--and traditional statistics. (The authors defend the methods of big data against traditional statistics, which has usually relied on smaller samples. However, they also look at the sources of error in both disciplines.)
The authors then look at the nuts and bolts of the data-mining process. They show how data must be prepared--sometimes reduced--in order to be manageable, and they define the important features. They show how the actual analysis of data mining can be as simple as adding up scores for selected features or how it can use statistical methods or even neural networks. (For some problems, the features themselves aren't known ahead of time; data mining can be used to discover these features automatically.) The authors then discuss how to interpret the results of analysis so that predictions can be made for new cases based on old ones.
The book concludes with short scenarios of how data mining can be applied, with examples drawn from manufacturing, health care, marketing, and publishing. The authors show the strengths--and limits--of data mining and argue that faster hardware and greater database storage capabilities will make this technology more widely used. Though it is written by two researchers in the field, Predictive Data Mining is suitable for general readers who are interested in the topic. --Richard V. Dragan
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Solar Arcs: Astrology's Most Successful Predictive System Review
Solar Arcs: Astrology's Most Successful Predictive System Feature
- ISBN13: 9780738700540
- Condition: New
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Solar Arcs: Astrology's Most Successful Predictive System Overview
Solar Arcs --Astrology's Most Successful Prediction System
Improve your predictive techniques with the latest Noel Tyl volume, Solar Arcs --Astrology's Most Successful Prediction System. This is the definitive work on the subject of solar arc directions, and includes:
-Rectification techniques
-Tertiary progressions
-A special 100-year ephemeris
-An index of the meanings for over 1000 midpoint combinations
Noel has used this system for nearly 30 years and now shares his deep insight into this predictive system with astrologers in the U.S. and around the world.
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Models Unleashed: Virtual Plant and Model Predictive Control Applications Review
Models Unleashed: Virtual Plant and Model Predictive Control Applications Overview
Building on the knowledge and the goals of the best-selling book, Advanced Control Unleashed, this portable pocket guide goes beyond theoretical concepts and provides new insight into the implementation practices after the objectives have been defined and the technology decisions have been made.
Recognizing the opportunity that models present to capture and exploit plant knowledge, the authors share their expertise on the concepts, procedures, and examples needed to construct and apply different models through the use of "state of the art" software for simulation and model predictive control.
You don't need an advanced degree to get the most out of this pocket guide. Models Unleashed will help engineers closest to the application take advantage of their experience by embedding it in a model and a control system.
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Predictive Modeling With SAS Enterprise Miner: Practical Solutions for Business Applications Review
Predictive Modeling With SAS Enterprise Miner: Practical Solutions for Business Applications Overview
Predictive Modeling with SAS Enterprise Miner: Practical Solutions for Business Applications demonstrates how to make the fullest use of SAS Enterprise Miner software. Kattamuri Sarma provides an in-depth explanation of the methodology and the theory behind each tool that he covers, and then shows you how the software performs the tasks. Step by step, you'll be able to compare manual calculations with the calculations that are performed by SAS Enterprise Miner. Examples from the insurance and banking industries are based on simulated, but realistic, data. The approaches discussed in this book are relevant to any industry.
Here are a few of the topics discussed in detail:
- data collection and data cleaning
- data exploration
- decision trees and regression trees
- logistic regression models
- neural networks
- variable selection and variable transformation
You need this book if you are a graduate student interested in predictive modeling, an expert in data mining who is not familiar with SAS Enterprise Miner, or a business analyst who needs an introduction to predictive modeling using SAS Enterprise Miner. To get the most from this book, you should be familiar with elements of statistical inference and probability, simple algebra, ordinary least squares, logistic regression, and Base SAS software.
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Nonlinear Model Predictive Control: Towards New Challenging Applications (Lecture Notes in Control and Information Sciences) Review
Nonlinear Model Predictive Control: Towards New Challenging Applications (Lecture Notes in Control and Information Sciences) Feature
- ISBN13: 9783642010934
- Condition: USED - Like New
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Nonlinear Model Predictive Control: Towards New Challenging Applications (Lecture Notes in Control and Information Sciences) Overview
Over the past few years significant progress has been achieved in the field of nonlinear model predictive control (NMPC), also referred to as receding horizon control or moving horizon control. More than 250 papers have been published in 2006 in ISI Journals. With this book we want to bring together the contributions of a diverse group of internationally well recognized researchers and industrial practitioners, to critically assess the current status of the NMPC field and to discuss future directions and needs. The book consists of selected papers presented at the International Workshop on Assessment an Future Directions of Nonlinear Model Predictive Control that took place from September 5 to 9, 2008, in Pavia, Italy.
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Complete Guide to Predictive and Preventive Maintenance Review
Complete Guide to Predictive and Preventive Maintenance Overview
A culmination of 15 years of research, teaching, and consulting, The Complete Guide to Predictive and Preventive Maintenance shares the best practices, mistakes, victories, and essential steps for success which the author has gleaned from working with countless organizations. Unlike other books that only focus on the engineering issues (task lists) or management issues (CMMS), this in-depth resource is the first to give true emphasize to the four aspects of success in preventive maintenance systems-- engineering, management, economic, and psychological. This in turn will enable readers to have a balanced view and understanding of what is happening in their organizations. Blending concrete actionable steps and structures with the theory behind the steps, The Complete Guide to Predictive and Preventive Maintenance is sure to be valuable to maintenance directors, maintenance managers, maintenance engineers, planners, maintenance supervisors, PM group leaders, and PM mechanics.
FEATURES
o Includes check sheets, history of PM, stories, photographs, and case histories.
o Contains a glossary of terms. o Provides sample task lists for a variety of equipment with some of the logic behind each task.
o Offers templates for developing your own tasking.
o Includes protocols for detailed economic analysis with examples.
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Beyond Normality: Predictive Value and Efficiency of Medical Diagnoses (A Wiley biomedical publication) Review
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