Modern Methods For Robust Regression Pdf Editor
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Author by: Robert Andersen Language: en Publisher by: SAGE Format Available: PDF, ePub, Mobi Total Read: 73 Total Download: 887 File Size: 55,9 Mb Description: Geared towards both future and practising social scientists, this book takes an applied approach and offers readers empirical examples to illustrate key concepts. It includes: applied coverage of a topic that has traditionally been discussed from a theoretical standpoint; empirical examples to illustrate key concepts; a web appendix that provides readers with the data and the R-code for the examples used in the book.
Author by: Peter J. Rousseeuw Language: en Publisher by: John Wiley & Sons Format Available: PDF, ePub, Mobi Total Read: 80 Total Download: 738 File Size: 45,8 Mb Description: WILEY-INTERSCIENCE PAPERBACK SERIES The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. 'The writing style is clear and informal, and much of the discussion is oriented to application. In short, the book is a keeper.'
–Mathematical Geology 'I would highly recommend the addition of this book to the libraries of both students and professionals. It is a useful textbook for the graduate student, because it emphasizes both the philosophy and practice of robustness in regression settings, and it provides excellent examples of precise, logical proofs of theorems.Even for those who are familiar with robustness, the book will be a good reference because it consolidates the research in high-breakdown affine equivariant estimators and includes an extensive bibliography in robust regression, outlier diagnostics, and related methods. The aim of this book, the authors tell us, is ‘to make robust regression available for everyday statistical practice.’ Rousseeuw and Leroy have included all of the necessary ingredients to make this happen.' –Journal of the American Statistical Association. Author by: Valentim R. Alferes Language: en Publisher by: SAGE Format Available: PDF, ePub, Mobi Total Read: 89 Total Download: 734 File Size: 47,9 Mb Description: This book provides a conceptual systematization and a practical tool for the randomization of between-subjects and within-subjects experimental designs in social, behavioural, and health sciences. The author adopts a pedagogical strategy that allows the reader to implement all randomization methods by relying on the materials given in the appendices and using the common features included in any word processor software.
In the companion website (www.fpce.uc.pt/niips/randmethods), along with other supplementary materials, the reader can freely download IBM SPSS and R versions of SCRAED, a package that performs simple and complex random assignment in experimental design, including the 18 randomization methods presented in Chapters 2 and 3. Author by: Iain Pardoe Language: en Publisher by: John Wiley & Sons Format Available: PDF, ePub, Mobi Total Read: 91 Total Download: 448 File Size: 41,5 Mb Description: Praise for the First Edition 'The attention to detail is impressive. The book is very well written and the author is extremely careful with his descriptions. The examples are wonderful.' —The American Statistician Fully revised to reflect the latest methodologies and emerging applications, Applied Regression Modeling, Second Edition continues to highlight the benefits of statistical methods, specifically regression analysis and modeling, for understanding, analyzing, and interpreting multivariate data in business, science, and social science applications.
The author utilizes a bounty of real-life examples, case studies, illustrations, and graphics to introduce readers to the world of regression analysis using various software packages, including R, SPSS, Minitab, SAS, JMP, and S-PLUS. In a clear and careful writing style, the book introduces modeling extensions that illustrate more advanced regression techniques, including logistic regression, Poisson regression, discrete choice models, multilevel models, and Bayesian modeling. In addition, the Second Edition features clarification and expansion of challenging topics, such as: Transformations, indicator variables, and interaction Testing model assumptions Nonconstant variance Autocorrelation Variable selection methods Model building and graphical interpretation Throughout the book, datasets and examples have been updated and additional problems are included at the end of each chapter, allowing readers to test their comprehension of the presented material. In addition, a related website features the book's datasets, presentation slides, detailed statistical software instructions, and learning resources including additional problems and instructional videos. With an intuitive approach that is not heavy on mathematical detail, Applied Regression Modeling, Second Edition is an excellent book for courses on statistical regression analysis at the upper-undergraduate and graduate level. The book also serves as a valuable resource for professionals and researchers who utilize statistical methods for decision-making in their everyday work. Author by: James Alan Fox Language: en Publisher by: SAGE Publications Format Available: PDF, ePub, Mobi Total Read: 10 Total Download: 578 File Size: 46,7 Mb Description: Randomized response is a data collection strategy specifically designed for surveys of a sensitive nature.
By establishing a probabilistic connection between question and answer, randomized response and related methods protect respondents who are asked to disclose personal information. Covering a half century of theoretical and applied research, the Second Edition of James Alan Fox’s Randomized Response and Related Methods significantly updates and expands what was, at the time, the first comprehensive and practical guide to randomized response.
Author by: Risk Management Institute Language: en Publisher by: World Scientific Format Available: PDF, ePub, Mobi Total Read: 83 Total Download: 990 File Size: 43,6 Mb Description: Global Credit Review is an annual publication that provides an overview of the most important developments in global credit markets and the regulatory landscape. The third volume provides some critical analysis, reviews the introduction of new regulations and also offers new insights to address the challenges ahead. The carefully selected chapters touch on current topics such as: the measurement of systemic risk, reserve requirements and its role in monetary policy, the application of the Basel II default definition by credit risk assessment systems, and changes in credit portfolio management, amongst others. Recent evolutions of the Risk Management Institute's Credit Research Initiative are also reported, including a comprehensive overview of the technical details on the implementation of the current RMI-CRI corporate default prediction model.
With its distinctive focus on topics related to credit markets and credit risk, this is an invaluable publication for finance professionals, policy makers and academics with an interest in credit markets. Contents:Systemic Risk in Europe (Eric Jondeau and Michael Rockinger)Changes in the Ratings Game — An Update on Various Developments (RMI staff)Reserve Requirements as Window Guidance in China (Violaine Cousin)The Implementation of the Basel II Default Definition by Credit Risk Assessment Systems: An Analysis of Possible Aggregation Procedures (Markus Bingmer and Laura Auria)Can Credit-Scoring Models Effectively Predict Microloans Default? Statistical Evidence from the Tunisian Microfinance Bank (Ibtissem Baklouti and Abdelfettah Bouri)Stepping Up to the Liquidity Challenge: The Changing Role of Credit Portfolio Management (IACPM and KPMG)NUS-RMI Credit Research Initiative Technical Report (Version: 2013, Update 2b) (RMI staff) Readership: Finance professionals, policy makers and academics with an interest in credit markets. Author by: Robert L. Kaufman Language: en Publisher by: SAGE Publications Format Available: PDF, ePub, Mobi Total Read: 17 Total Download: 694 File Size: 44,6 Mb Description: Heteroskedasticity in Regression: Detection and Correction, by Robert Kaufman, covers the commonly ignored topic of heteroskedasticity (unequal error variances) in regression analyses and provides a practical guide for how to proceed in terms of testing and correction. Emphasizing how to apply diagnostic tests and corrections for heteroskedasticity in actual data analyses, the monograph offers three approaches for dealing with heteroskedasticity: (1) variance-stabilizing transformations of the dependent variable; (2) calculating robust standard errors, or heteroskedasticity-consistent standard errors; and (3) generalized least squares estimation coefficients and standard errors. The detection and correction of heteroskedasticity is illustrated with three examples that vary in terms of sample size and the types of units analyzed (individuals, households, U.S.
Intended as a supplementary text for graduate-level courses and a primer for quantitative researchers, the book fills the gap between the limited coverage of heteroskedasticity provided in applied regression textbooks and the more theoretical statistical treatment in advanced econometrics textbooks. Author by: Larry D. Schroeder Language: en Publisher by: SAGE Publications Format Available: PDF, ePub, Mobi Total Read: 95 Total Download: 447 File Size: 44,6 Mb Description: Understanding Regression Analysis: An Introductory Guide by Larry D. Schroeder, David L. Sjoquist, and Paula E.
Stephan presents the fundamentals of regression analysis, from its meaning to uses, in a concise, easy-to-read, and non-technical style. It illustrates how regression coefficients are estimated, interpreted, and used in a variety of settings within the social sciences, business, law, and public policy.
Packed with applied examples and using few equations, the book walks readers through elementary material using a verbal, intuitive interpretation of regression coefficients, associated statistics, and hypothesis tests. The Second Edition features updated examples and new references to modern software output. Author by: Colin Lewis-Beck Language: en Publisher by: SAGE Publications Format Available: PDF, ePub, Mobi Total Read: 67 Total Download: 316 File Size: 55,5 Mb Description: Known for its readability and clarity, this Second Edition of the best-selling Applied Regression provides an accessible introduction to regression analysis for social scientists and other professionals who want to model quantitative data. After covering the basic idea of fitting a straight line to a scatter of data points, the text uses clear language to explain both the mathematics and assumptions behind the simple linear regression model. Authors Colin Lewis-Beck and Michael Lewis-Beck then cover more specialized subjects of regression analysis, such as multiple regression, measures of model fit, analysis of residuals, interaction effects, multicollinearity, and prediction.
Throughout the text, graphical and applied examples help explain and demonstrate the power and broad applicability of regression analysis for answering scientific questions. Author by: Isabella Morlini Language: en Publisher by: Springer Format Available: PDF, ePub, Mobi Total Read: 40 Total Download: 469 File Size: 53,5 Mb Description: This edited volume focuses on recent research results in classification, multivariate statistics and machine learning and highlights advances in statistical models for data analysis. The volume provides both methodological developments and contributions to a wide range of application areas such as economics, marketing, education, social sciences and environment. The papers in this volume were first presented at the 9th biannual meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, held in September 2013 at the University of Modena and Reggio Emilia, Italy.
Robust Regression Pdf
Author by: Thomas P. Ryan Language: en Publisher by: Wiley-Interscience Format Available: PDF, ePub, Mobi Total Read: 40 Total Download: 983 File Size: 45,9 Mb Description: The most comprehensive book available on state-of-the-art regression methodology, complete with exercises and solutions This combination book and disk set presents the full range of regression techniques available today to practitioners, researchers, and students of this popular and ever-changing field. Featuring a strong data analysis orientation and a more comprehensive treatment of regression diagnostics than is found in other texts, Modern Regression Methods contains a wealth of material assembled here for the first time, including recently developed techniques and some new methods introduced by the author, as well as fresh approaches to standard concepts.
With thorough analyses of real-world data sets and many exercises with worked solutions, this unique resource reinforces learning while providing you with crucial hands-on experience in the practical application of skills. Author by: Thomas P. Ryan Language: en Publisher by: Wiley Format Available: PDF, ePub, Mobi Total Read: 11 Total Download: 723 File Size: 46,5 Mb Description: 'Over the years, I have had the opportunity to teach several regression courses, and I cannot think of a better undergraduate text than this one.' (The American Statistician) 'The book is well written and has many exercises. It can serve as a very good textbook for scientists and engineers, with only basic statistics as a prerequisite.
I also highly recommend it to practitioners who want to solve real-life prediction problems.' (Computing Reviews) Modern Regression Methods, Second Edition maintains the accessible organization, breadth of coverage, and cutting-edge appeal that earned its predecessor the title of being one of the top five books for statisticians by an Amstat News book editor in 2003. This new edition has been updated and enhanced to include all-new information on the latest advances and research in the evolving field of regression analysis. The book provides a unique treatment of fundamental regression methods, such as diagnostics, transformations, robust regression, and ridge regression. Unifying key concepts and procedures, this new edition emphasizes applications to provide a more hands-on and comprehensive understanding of regression diagnostics.
Author by: Daniel B Wright Language: en Publisher by: SAGE Format Available: PDF, ePub, Mobi Total Read: 59 Total Download: 762 File Size: 51,9 Mb Description: In a way that is refreshingly engaging and readable, Daniel B. Wright and Kamala London describe the most useful of these techniques and provide step-by-step instructions, using the freeware R, to analyze datasets that can be located on the books’ webpage via the SAGE homepage. Techniques covered in this book include multilevel modeling, ANOVA and ANCOVA, path analysis, mediation and moderation, logistic regression (generalized linear models), generalized additive models, and robust methods. These are all tested using a range of real research examples conducted by the authors in every chapter. Author by: Robert Andersen Language: en Publisher by: SAGE Format Available: PDF, ePub, Mobi Total Read: 97 Total Download: 246 File Size: 55,9 Mb Description: Geared towards both future and practising social scientists, this book takes an applied approach and offers readers empirical examples to illustrate key concepts. It includes: applied coverage of a topic that has traditionally been discussed from a theoretical standpoint; empirical examples to illustrate key concepts; a web appendix that provides readers with the data and the R-code for the examples used in the book.
Author by: Hulin Wu Language: en Publisher by: John Wiley & Sons Format Available: PDF, ePub, Mobi Total Read: 60 Total Download: 971 File Size: 51,7 Mb Description: Incorporates mixed-effects modeling techniques for more powerful and efficient methods This book presents current and effective nonparametric regression techniques for longitudinal data analysis and systematically investigates the incorporation of mixed-effects modeling techniques into various nonparametric regression models. The authors emphasize modeling ideas and inference methodologies, although some theoretical results for the justification of the proposed methods are presented. With its logical structure and organization, beginning with basic principles, the text develops the foundation needed to master advanced principles and applications. Following a brief overview, data examples from biomedical research studies are presented and point to the need for nonparametric regression analysis approaches. Next, the authors review mixed-effects models and nonparametric regression models, which are the two key building blocks of the proposed modeling techniques.
The core section of the book consists of four chapters dedicated to the major nonparametric regression methods: local polynomial, regression spline, smoothing spline, and penalized spline. The next two chapters extend these modeling techniques to semiparametric and time varying coefficient models for longitudinal data analysis. The final chapter examines discrete longitudinal data modeling and analysis.
Each chapter concludes with a summary that highlights key points and also provides bibliographic notes that point to additional sources for further study. Examples of data analysis from biomedical research are used to illustrate the methodologies contained throughout the book. Technical proofs are presented in separate appendices. With its focus on solving problems, this is an excellent textbook for upper-level undergraduate and graduate courses in longitudinal data analysis. It is also recommended as a reference for biostatisticians and other theoretical and applied research statisticians with an interest in longitudinal data analysis. Not only do readers gain an understanding of the principles of various nonparametric regression methods, but they also gain a practical understanding of how to use the methods to tackle real-world problems. Author by: R.
Dennis Cook Language: en Publisher by: John Wiley & Sons Format Available: PDF, ePub, Mobi Total Read: 70 Total Download: 235 File Size: 43,8 Mb Description: An exploration of regression graphics through computer graphics. Recent developments in computer technology have stimulated new and exciting uses for graphics in statistical analyses. Regression Graphics, one of the first graduate-level textbooks on the subject, demonstrates how statisticians, both theoretical and applied, can use these exciting innovations. After developing a relatively new regression context that requires few scope-limiting conditions, Regression Graphics guides readers through the process of analyzing regressions graphically and assessing and selecting models. This innovative reference makes use of a wide range of graphical tools, including 2D and 3D scatterplots, 3D binary response plots, and scatterplot matrices.
Modern Methods For Robust Regression
Supplemented by a companion ftp site, it features numerous data sets and applied examples that are used to elucidate the theory. Author by: Sanford Weisberg Language: en Publisher by: John Wiley & Sons Format Available: PDF, ePub, Mobi Total Read: 58 Total Download: 556 File Size: 41,6 Mb Description: Praise for the Third Edition '.this is an excellent book which could easily be used as a course text.' —International Statistical Institute The Fourth Edition of Applied Linear Regression provides a thorough update of the basic theory and methodology of linear regression modeling. Demonstrating the practical applications of linear regression analysis techniques, the Fourth Edition uses interesting, real-world exercises and examples. Stressing central concepts such as model building, understanding parameters, assessing fit and reliability, and drawing conclusions, the new edition illustrates how to develop estimation, confidence, and testing procedures primarily through the use of least squares regression. Author by: Javier Cabrera Language: en Publisher by: Springer Science & Business Media Format Available: PDF, ePub, Mobi Total Read: 27 Total Download: 662 File Size: 48,5 Mb Description: This book is intended for the statistician or student interested in becoming a statistical consultant, as well as clients who need to understand what is involved in the consulting process.
It discusses different consulting environments, provides detailed descriptions of communication skills a consultant must possess, and provides concrete examples and case-studies of varying complexity. Emphasis is placed on the importance of engaging the client's understanding of the purpose and interpretation of statistical procedures.
Author by: Jeanne Kowalski Language: en Publisher by: John Wiley & Sons Format Available: PDF, ePub, Mobi Total Read: 87 Total Download: 430 File Size: 46,9 Mb Description: A timely and applied approach to the newly discovered methods and applications of U-statistics Built on years of collaborative research and academic experience, Modern Applied U-Statistics successfully presents a thorough introduction to the theory of U-statistics using in-depth examples and applications that address contemporary areas of study including biomedical and psychosocial research. Utilizing a 'learn by example' approach, this book provides an accessible, yet in-depth, treatment of U-statistics, as well as addresses key concepts in asymptotic theory by integrating translational and cross-disciplinary research. The authors begin with an introduction of the essential and theoretical foundations of U-statistics such as the notion of convergence in probability and distribution, basic convergence results, stochastic Os, inference theory, generalized estimating equations, as well as the definition and asymptotic properties of U-statistics. With an emphasis on nonparametric applications when and where applicable, the authors then build upon this established foundation in order to equip readers with the knowledge needed to understand the modern-day extensions of U-statistics that are explored in subsequent chapters. Author by: CTI Reviews Language: en Publisher by: Cram101 Textbook Reviews Format Available: PDF, ePub, Mobi Total Read: 91 Total Download: 501 File Size: 48,7 Mb Description: Facts101 is your complete guide to Modern Applied Statistics. In this book, you will learn topics such as as those in your book plus much more.
With key features such as key terms, people and places, Facts101 gives you all the information you need to prepare for your next exam. Our practice tests are specific to the textbook and we have designed tools to make the most of your limited study time.