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Adaptive Regression
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Book Synopsis Adaptive Regression by : Yadolah Dodge
Download or read book Adaptive Regression written by Yadolah Dodge and published by Springer Science & Business Media. This book was released on 2012-10-01 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: While there have been a large number of estimation methods proposed and developed for linear regression, none has proved good for all purposes. This text focuses on the construction of an adaptive combination of two estimation methods so as to help users make an objective choice and combine the desirable properties of two estimators.
Book Synopsis Ego Psychology and Social Work Practice by : Eda Goldstein
Download or read book Ego Psychology and Social Work Practice written by Eda Goldstein and published by Simon and Schuster. This book was released on 1995-03 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: While ego psychological theory still holds a pre-eminent position in clinical social work practice, the field has changed in many ways. This revised edition addresses these major changes, bringing the reader up to date.
Book Synopsis Adaptive Regression and Artistic Preferences Among Visual Artists by : Martha Orrick
Download or read book Adaptive Regression and Artistic Preferences Among Visual Artists written by Martha Orrick and published by . This book was released on 1979 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Theories of Hypnosis by : Steven J. Lynn
Download or read book Theories of Hypnosis written by Steven J. Lynn and published by Guilford Press. This book was released on 1991-10-04 with total page 668 pages. Available in PDF, EPUB and Kindle. Book excerpt: It has been said that "hypnosis is a collection of techniques in need of a unifying theory." (James A. Hall, Hypnosis: A Jungian Perspective). While the varied substrates of these techniques preclude the formation of any one theory of hypnosis, this volume presents a "state-of-the-science" view of existing theories of hypnosis. Written by eminent scholars and researchers, this uniquely authoritative resource also provides a wealth of information about the history of hypnosis, clinical and research perspectives on hypnosis, and the strengths and weaknesses of empirical methods used to address crucial theoretical questions. The streamlined organization of the volume facilitates the reader's ability to contrast and compare research findings and concepts across theories. In the introductory chapters, the editors describe hypnosis paradigms and schools of thought, including major points of convergence and divergence, as well as a broad vista of different perspectives on the history of hypnosis. The theoretical chapters that follow present definitive statements by an international array of eminent scholars who are at the forefront of conceptual advances in the realms of clinical and experimental hypnosis. Their contributions, written in lively first-person narratives, explore current thinking about hypnosis and represent important clinical and research traditions that extend beyond the territory of hypnosis to mainstream psychology. Providing a thorough discussion of hypnotic phenomena, the book tackles tough questions such as whether hypnosis evokes an altered state of consciousness; whether hypnotic behavior is involuntary; whether hypnotizability is stable, trait-like, and modifiable; and whether hypnotic and non-hypnotic behavior can be distinguished in meaningful ways. The diversity of viewpoints, including competitive ones, illuminates the debates which have expanded the frontiers of knowledge about hypnosis. In the concluding section, the editors compare and contrast these theories, discuss pertinent research issues, and lay out an agenda for future research. Given its stellar list of contributors and the unique niche it occupies as the first authoritative survey of its kind, THEORIES OF HYPNOSIS is of value to anyone interested in the topic. The editors' ten years of experience teaching hypnosis to psychology and medical students has resulted in a book with enormous appeal to students and instructors, as well as clinicians and researchers. A wide variety of professionals--academics, clinical psychologists, psychiatrists, social workers, dentists--will find it an authoritative introduction and invaluable reference to this still-growing, ever-fascinating field.
Book Synopsis Hands-On Machine Learning with R by : Brad Boehmke
Download or read book Hands-On Machine Learning with R written by Brad Boehmke and published by CRC Press. This book was released on 2019-11-07 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hands-on Machine Learning with R provides a practical and applied approach to learning and developing intuition into today’s most popular machine learning methods. This book serves as a practitioner’s guide to the machine learning process and is meant to help the reader learn to apply the machine learning stack within R, which includes using various R packages such as glmnet, h2o, ranger, xgboost, keras, and others to effectively model and gain insight from their data. The book favors a hands-on approach, providing an intuitive understanding of machine learning concepts through concrete examples and just a little bit of theory. Throughout this book, the reader will be exposed to the entire machine learning process including feature engineering, resampling, hyperparameter tuning, model evaluation, and interpretation. The reader will be exposed to powerful algorithms such as regularized regression, random forests, gradient boosting machines, deep learning, generalized low rank models, and more! By favoring a hands-on approach and using real word data, the reader will gain an intuitive understanding of the architectures and engines that drive these algorithms and packages, understand when and how to tune the various hyperparameters, and be able to interpret model results. By the end of this book, the reader should have a firm grasp of R’s machine learning stack and be able to implement a systematic approach for producing high quality modeling results. Features: · Offers a practical and applied introduction to the most popular machine learning methods. · Topics covered include feature engineering, resampling, deep learning and more. · Uses a hands-on approach and real world data.
Book Synopsis Cognitive-behavioral Theories of Counseling by : Marty Sapp
Download or read book Cognitive-behavioral Theories of Counseling written by Marty Sapp and published by Charles C Thomas Publisher. This book was released on 2004 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Projective Assessment by : Robert R. Holt
Download or read book Projective Assessment written by Robert R. Holt and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: I do not think of myself as primarily interested in method, but in the substance of psychology. Nevertheless, our discipline has such difficulties in coming to grips with its substance that I have found myself getting involved in fww to do it persistently and since the beginning of my career. That career has been divided between diagnosis and research, the balance between them swinging gradually from the former to the latter. To the astonishment of many of my students and colleagues, I have never become a psychotherapist nor a psychoanalyst, though I have looked closely over the shoulders of many friends at their work, have attended continuous case seminars, and have participated in research on psychotherapy and psychoanalysis enough to feel that I have a pretty good grasp of what that kind of endeavor is like. So I have been writing about method, diagnostic and investigative, for over 25 years, and was happy to accept the suggestion of Seymour Weingar ten, of Plenum Press, that I publish a collection of these papers. What has ended up as two volumes was originally conceived as one, for I feel that there is more similarity of method in assessment, prediction, and research than appears on the surface. The General Introduction and Chapter 1 of Volume 1 state the point of view of the entire work.
Book Synopsis Handbook of Statistical Analysis and Data Mining Applications by : Ken Yale
Download or read book Handbook of Statistical Analysis and Data Mining Applications written by Ken Yale and published by Elsevier. This book was released on 2017-11-09 with total page 824 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of Statistical Analysis and Data Mining Applications, Second Edition, is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers, both academic and industrial, through all stages of data analysis, model building and implementation. The handbook helps users discern technical and business problems, understand the strengths and weaknesses of modern data mining algorithms and employ the right statistical methods for practical application. This book is an ideal reference for users who want to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques and discusses their application to real problems in ways accessible and beneficial to practitioners across several areas—from science and engineering, to medicine, academia and commerce. - Includes input by practitioners for practitioners - Includes tutorials in numerous fields of study that provide step-by-step instruction on how to use supplied tools to build models - Contains practical advice from successful real-world implementations - Brings together, in a single resource, all the information a beginner needs to understand the tools and issues in data mining to build successful data mining solutions - Features clear, intuitive explanations of novel analytical tools and techniques, and their practical applications
Book Synopsis Atmospheric Modeling, Data Assimilation and Predictability by : Eugenia Kalnay
Download or read book Atmospheric Modeling, Data Assimilation and Predictability written by Eugenia Kalnay and published by Cambridge University Press. This book was released on 2003 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book, first published in 2002, is a graduate-level text on numerical weather prediction, including atmospheric modeling, data assimilation and predictability.
Download or read book Hypnosis written by Ronald E. Shor and published by Routledge. This book was released on 2017-07-12 with total page 813 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thorough revision of the first edition, updates and expands, with 25 percent new material, what was generally recognized as a major survey of contemporary scientific research in hypnosis. In this edition, also a classic, the editors include three new essays in modern hypnosis studies. They also provide a new conceptual framework--cognitive, ego-psychological, and phenomenological--with which to examine hypnosis. This edition is divided into six sections--Theoretical and Historical Perspectives, New Theories, Surveys of Broad Areas, Lines of Individual Research, Individual Researches within Specific Areas, and Anticipations for Future Research. The entire book was completely revised in the light of additional research since publication of the original edition. Thirteen of the twenty chapters in the first edition were updated by their authors, six so extensively that they amount to new chapters, with changes in title and order of authors in the case of coauthored chapters. Hypnosis: Developments in Research and New Perspectives is intended for researchers in hypnosis and clinical practitioners in medicine and psychology. The focus, as indicated by the changed subtitle, is on developments since publication of the original editions: empirical studies, experiments with physiological indicators of hypnosis, and theoretical uses associated with use of hypnosis as a research tool. Altogether, this second edition is a valuable overall guide to an intriguing topic.
Book Synopsis Advances in Personality Assessment by : James N. Butcher
Download or read book Advances in Personality Assessment written by James N. Butcher and published by Routledge. This book was released on 2013-12-16 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: First published in 1990. The field of personality assessment continues to grow and expand at a rapid rate. The present volume is a continuation of the author's effort to bring together significant original papers representing diverse theoretical perspectives, critical methodological issues, and a variety of assessment techniques. Diversity of assessment approaches are also considered in the present volume. These vary from traditional assessment approaches, such as the Rorschach and the MMPI, to newer instruments such as Temperament Inventory. This will be of interest to mental health professionals, as it provides new insights and information about important directions in which the field of personality assessment is going.
Book Synopsis Feature Engineering and Selection by : Max Kuhn
Download or read book Feature Engineering and Selection written by Max Kuhn and published by CRC Press. This book was released on 2019-07-25 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: The process of developing predictive models includes many stages. Most resources focus on the modeling algorithms but neglect other critical aspects of the modeling process. This book describes techniques for finding the best representations of predictors for modeling and for nding the best subset of predictors for improving model performance. A variety of example data sets are used to illustrate the techniques along with R programs for reproducing the results.
Book Synopsis Introduction to Statistical Methods for Biosurveillance by : Ronald D. Fricker
Download or read book Introduction to Statistical Methods for Biosurveillance written by Ronald D. Fricker and published by Cambridge University Press. This book was released on 2013-02-25 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bioterrorism is not a new threat, but in an increasingly interconnected world, the potential for catastrophic outcomes is greater today than ever. The medical and public health communities are establishing biosurveillance systems designed to proactively monitor populations for possible disease outbreaks as a first line of defense. The ideal biosurveillance system should identify trends not visible to individual physicians and clinicians in near-real time. Many of these systems use statistical algorithms to look for anomalies and to trigger epidemiologic investigation, quantification, localization and outbreak management. This book discusses the design and evaluation of statistical methods for effective biosurveillance for readers with minimal statistical training. Weaving public health and statistics together, it presents basic and more advanced methods, with a focus on empirically demonstrating added value. Although the emphasis is on epidemiologic and syndromic surveillance, the statistical methods can be applied to a broad class of public health surveillance problems.
Book Synopsis Semiparametric Regression by : David Ruppert
Download or read book Semiparametric Regression written by David Ruppert and published by Cambridge University Press. This book was released on 2003-07-14 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: Semiparametric regression is concerned with the flexible incorporation of non-linear functional relationships in regression analyses. Any application area that benefits from regression analysis can also benefit from semiparametric regression. Assuming only a basic familiarity with ordinary parametric regression, this user-friendly book explains the techniques and benefits of semiparametric regression in a concise and modular fashion. The authors make liberal use of graphics and examples plus case studies taken from environmental, financial, and other applications. They include practical advice on implementation and pointers to relevant software. The 2003 book is suitable as a textbook for students with little background in regression as well as a reference book for statistically oriented scientists such as biostatisticians, econometricians, quantitative social scientists, epidemiologists, with a good working knowledge of regression and the desire to begin using more flexible semiparametric models. Even experts on semiparametric regression should find something new here.
Book Synopsis Intelligent and Other Computational Techniques in Insurance by : L. C. Jain
Download or read book Intelligent and Other Computational Techniques in Insurance written by L. C. Jain and published by World Scientific. This book was released on 2003 with total page 692 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent advances in the theory and implementation of intelligent and other computational techniques in the insurance industry. The paradigms covered encompass artificial neural networks and fuzzy systems, including clustering versions, optimization and resampling methods, algebraic and Bayesian models, decision trees and regression splines. Thus, the focus is not just on intelligent techniques, although these constitute a major component; the book also deals with other current computational paradigms that are likely to impact on the industry. The application areas include asset allocation, asset and liability management, cash-flow analysis, claim costs, classification, fraud detection, insolvency, investments, loss distributions, marketing, pricing and premiums, rate-making, retention, survival analysis, and underwriting. Contents: Insurance Applications of Neural Networks, Fuzzy Logic, and Genetic Algorithms; Practical Applications of Neural Networks in Property and Casualty Insurance; An Integrated Data Mining Approach to Premium Pricing for the Automobile Insurance Industry; Population Risk Management: Reducing Costs and Managing Risk in Health Insurance; Using Neural Networks to Predict in the Marketplace; Merging Soft Computing Technologies in Insurance-Related Applications; Robustness in Bayesian Models for BonusOCoMalus Systems; Using Data Mining for Modeling Insurance Risk and Comparison of Data Mining and Linear Modeling Approaches; System Intelligence and Active Stock Trading; The Algebra of Cash Flows: Theory and Application; and other papers. Readership: Graduate students, academics, researchers and practitioners involved with actuarial science, insurance, statistics and management science."
Book Synopsis Predictive Analytics using R by : Jeffrey Strickland
Download or read book Predictive Analytics using R written by Jeffrey Strickland and published by Lulu.com. This book was released on 2015-01-16 with total page 554 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about predictive analytics. Yet, each chapter could easily be handled by an entire volume of its own. So one might think of this a survey of predictive modeling. A predictive model is a statistical model or machine learning model used to predict future behavior based on past behavior. In order to use this book, one should have a basic understanding of mathematical statistics - it is an advanced book. Some theoretical foundations are laid out but not proven, but references are provided for additional coverage. Every chapter culminates in an example using R. R is a free software environment for statistical computing and graphics. You may download R, from a preferred CRAN mirror at http: //www.r-project.org/. The book is organized so that statistical models are presented first (hopefully in a logical order), followed by machine learning models, and then applications: uplift modeling and time series. One could use this a textbook with problem solving in R-but there are no "by-hand" exercises.
Book Synopsis The Elements of Statistical Learning by : Trevor Hastie
Download or read book The Elements of Statistical Learning written by Trevor Hastie and published by Springer Science & Business Media. This book was released on 2009-08-26 with total page 757 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the important ideas in a variety of fields such as medicine, biology, finance, and marketing in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of colour graphics. It is a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting---the first comprehensive treatment of this topic in any book. This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, non-negative matrix factorisation, and spectral clustering. There is also a chapter on methods for "wide'' data (p bigger than n), including multiple testing and false discovery rates.
