Nonlinear Contingency Analysis

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Release : 2021-10-26
Genre : Psychology
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Book Rating : 264/5 ( reviews)

Nonlinear Contingency Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Nonlinear Contingency Analysis write by T. V. Joe Layng. This book was released on 2021-10-26. Nonlinear Contingency Analysis available in PDF, EPUB and Kindle. Nonlinear Contingency Analysis is a guide to treating clinically complex behavior problems such as delusions and hallucinations. It’s also a framework for treating behavior problems, one that explores solutions based on the creation of new or alternative consequential contingencies rather than the elimination or deceleration of old or problematic thoughts, feelings, or behaviors. Chapters present strategies, analytical tools, and interventions that clinicians can use in session to think about clients’ problems using decision theory, experimental analysis of behavior, and clinical research and practice. By treating thoughts and emotions not as causes of behavior but as indicators of the environmental conditions that are responsible for them, patients can use that knowledge to make changes that not only result in changes in behavior, but in the thoughts and feelings themselves.

Multidimensional Nonlinear Descriptive Analysis

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Release : 2006-06-26
Genre : Mathematics
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Book Rating : 200/5 ( reviews)

Multidimensional Nonlinear Descriptive Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Multidimensional Nonlinear Descriptive Analysis write by Shizuhiko Nishisato. This book was released on 2006-06-26. Multidimensional Nonlinear Descriptive Analysis available in PDF, EPUB and Kindle. Quantification of categorical, or non-numerical, data is a problem that scientists face across a wide range of disciplines. Exploring data analysis in various areas of research, such as the social sciences and biology, Multidimensional Nonlinear Descriptive Analysis presents methods for analyzing categorical data that are not necessarily sam

Clinical Behavior Analysis

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Release : 2000-04
Genre :
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Book Rating : 844/5 ( reviews)

Clinical Behavior Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Clinical Behavior Analysis write by Michael Dougher. This book was released on 2000-04. Clinical Behavior Analysis available in PDF, EPUB and Kindle. Clinical behavior analysis uses verbally based interventions to treat a range of psychological problems in an outpatient context. This volume offers a collection of current research in this rapidly expanding field, with a special focus on acceptance issues in therapy and the importance of the therapeutic relationship.

Analysis of Time Series Structure

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Release : 2001-01-23
Genre : Mathematics
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Book Rating : 841/5 ( reviews)

Analysis of Time Series Structure - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Analysis of Time Series Structure write by Nina Golyandina. This book was released on 2001-01-23. Analysis of Time Series Structure available in PDF, EPUB and Kindle. Over the last 15 years, singular spectrum analysis (SSA) has proven very successful. It has already become a standard tool in climatic and meteorological time series analysis and well known in nonlinear physics and signal processing. However, despite the promise it holds for time series applications in other disciplines, SSA is not widely known among statisticians and econometrists, and although the basic SSA algorithm looks simple, understanding what it does and where its pitfalls lay is by no means simple. Analysis of Time Series Structure: SSA and Related Techniques provides a careful, lucid description of its general theory and methodology. Part I introduces the basic concepts, and sets forth the main findings and results, then presents a detailed treatment of the methodology. After introducing the basic SSA algorithm, the authors explore forecasting and apply SSA ideas to change-point detection algorithms. Part II is devoted to the theory of SSA. Here the authors formulate and prove the statements of Part I. They address the singular value decomposition (SVD) of real matrices, time series of finite rank, and SVD of trajectory matrices. Based on the authors' original work and filled with applications illustrated with real data sets, this book offers an outstanding opportunity to obtain a working knowledge of why, when, and how SSA works. It builds a strong foundation for successfully using the technique in applications ranging from mathematics and nonlinear physics to economics, biology, oceanology, social science, engineering, financial econometrics, and market research.

Analysis of Incomplete Multivariate Data

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Release : 1997-08-01
Genre : Mathematics
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Book Rating : 862/5 ( reviews)

Analysis of Incomplete Multivariate Data - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Analysis of Incomplete Multivariate Data write by J.L. Schafer. This book was released on 1997-08-01. Analysis of Incomplete Multivariate Data available in PDF, EPUB and Kindle. The last two decades have seen enormous developments in statistical methods for incomplete data. The EM algorithm and its extensions, multiple imputation, and Markov Chain Monte Carlo provide a set of flexible and reliable tools from inference in large classes of missing-data problems. Yet, in practical terms, those developments have had surprisingly little impact on the way most data analysts handle missing values on a routine basis. Analysis of Incomplete Multivariate Data helps bridge the gap between theory and practice, making these missing-data tools accessible to a broad audience. It presents a unified, Bayesian approach to the analysis of incomplete multivariate data, covering datasets in which the variables are continuous, categorical, or both. The focus is applied, where necessary, to help readers thoroughly understand the statistical properties of those methods, and the behavior of the accompanying algorithms. All techniques are illustrated with real data examples, with extended discussion and practical advice. All of the algorithms described in this book have been implemented by the author for general use in the statistical languages S and S Plus. The software is available free of charge on the Internet.