Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Download Bootstrap Test Of Nonnested Linear Regression Models full books in PDF, epub, and Kindle. Read online Bootstrap Test Of Nonnested Linear Regression Models ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Author : Russell Davidson
Publisher :
ISBN 13 :
Total Pages : 24 pages
Book Rating : 4.:/5 (391 download)
Download or read book Bootstrap Test of Nonnested Linear Regression Models written by Russell Davidson and published by . This book was released on 1997 with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : L. Godfrey
Publisher : Palgrave Macmillan
ISBN 13 : 9780230202313
Total Pages : 348 pages
Book Rating : 4.2/5 (23 download)
Download or read book Bootstrap Tests for Regression Models written by L. Godfrey and published by Palgrave Macmillan. This book was released on 2009-07-31 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: An accessible discussion examining computationally-intensive techniques and bootstrap methods, providing ways to improve the finite-sample performance of well-known asymptotic tests for regression models. This book uses the linear regression model as a framework for introducing simulation-based tests to help perform econometric analyses.
Author : Russell Davidson
Publisher : Kingston, Ont. : Institute for Economic Research, Queen's University
ISBN 13 :
Total Pages : 24 pages
Book Rating : 4.:/5 (432 download)
Download or read book Bootstrap Tests of Nonnested Linear Regression Models written by Russell Davidson and published by Kingston, Ont. : Institute for Economic Research, Queen's University. This book was released on 1997 with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Gerhard Dikta
Publisher : Springer Nature
ISBN 13 : 3030734803
Total Pages : 256 pages
Book Rating : 4.0/5 (37 download)
Download or read book Bootstrap Methods written by Gerhard Dikta and published by Springer Nature. This book was released on 2021-08-10 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a compact introduction to the bootstrap method. In addition to classical results on point estimation and test theory, multivariate linear regression models and generalized linear models are covered in detail. Special attention is given to the use of bootstrap procedures to perform goodness-of-fit tests to validate model or distributional assumptions. In some cases, new methods are presented here for the first time. The text is motivated by practical examples and the implementations of the corresponding algorithms are always given directly in R in a comprehensible form. Overall, R is given great importance throughout. Each chapter includes a section of exercises and, for the more mathematically inclined readers, concludes with rigorous proofs. The intended audience is graduate students who already have a prior knowledge of probability theory and mathematical statistics.
Author : L. Godfrey
Publisher : Springer
ISBN 13 : 0230233732
Total Pages : 342 pages
Book Rating : 4.2/5 (32 download)
Download or read book Bootstrap Tests for Regression Models written by L. Godfrey and published by Springer. This book was released on 2009-07-29 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: An accessible discussion examining computationally-intensive techniques and bootstrap methods, providing ways to improve the finite-sample performance of well-known asymptotic tests for regression models. This book uses the linear regression model as a framework for introducing simulation-based tests to help perform econometric analyses.
Author : Russell Davidson
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (535 download)
Download or read book Fast Double Bootstrap Tests of Nonnested Linear Regression Models written by Russell Davidson and published by . This book was released on 2003 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Michael R. Chernick
Publisher : John Wiley & Sons
ISBN 13 : 1118625412
Total Pages : 318 pages
Book Rating : 4.1/5 (186 download)
Download or read book An Introduction to Bootstrap Methods with Applications to R written by Michael R. Chernick and published by John Wiley & Sons. This book was released on 2014-08-21 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive introduction to bootstrap methods in the R programming environment Bootstrap methods provide a powerful approach to statistical data analysis, as they have more general applications than standard parametric methods. An Introduction to Bootstrap Methods with Applications to R explores the practicality of this approach and successfully utilizes R to illustrate applications for the bootstrap and other resampling methods. This book provides a modern introduction to bootstrap methods for readers who do not have an extensive background in advanced mathematics. Emphasis throughout is on the use of bootstrap methods as an exploratory tool, including its value in variable selection and other modeling environments. The authors begin with a description of bootstrap methods and its relationship to other resampling methods, along with an overview of the wide variety of applications of the approach. Subsequent chapters offer coverage of improved confidence set estimation, estimation of error rates in discriminant analysis, and applications to a wide variety of hypothesis testing and estimation problems, including pharmaceutical, genomics, and economics. To inform readers on the limitations of the method, the book also exhibits counterexamples to the consistency of bootstrap methods. An introduction to R programming provides the needed preparation to work with the numerous exercises and applications presented throughout the book. A related website houses the book's R subroutines, and an extensive listing of references provides resources for further study. Discussing the topic at a remarkably practical and accessible level, An Introduction to Bootstrap Methods with Applications to R is an excellent book for introductory courses on bootstrap and resampling methods at the upper-undergraduate and graduate levels. It also serves as an insightful reference for practitioners working with data in engineering, medicine, and the social sciences who would like to acquire a basic understanding of bootstrap methods.
Author : Jonas Böhmer
Publisher : GRIN Verlag
ISBN 13 : 3640422414
Total Pages : 54 pages
Book Rating : 4.6/5 (44 download)
Download or read book Least Squares Regressions with the Bootstrap written by Jonas Böhmer and published by GRIN Verlag. This book was released on 2009-09-08 with total page 54 pages. Available in PDF, EPUB and Kindle. Book excerpt: Diploma Thesis from the year 2009 in the subject Mathematics - Statistics, grade: 1,6, University of Bonn (Statistische Abteilung der Rechts- und Staatswissenschaftlichen Fakultät), course: Diplomarbeit bei Prof.Dr. Alois Kneip, language: English, abstract: The statistical technique called bootstrap is usable with a lot of inferential problems and it is the main topic of this paper. Since the bootstrap provides material for a whole series of books it is essential to pick one special aspect of the bootstrap and investigate it in depth, otherwise the analysis would inevitably become too general. This aspect is the topic of regression. Hence, this paper will introduce the bootstrap and compare the performance of the new inference methods which it provides with some classical methods of judging a regression which were used in the years before the bootstrap. Therefore the remainder of this paper is as follows: First there will be a description of the basic model in which all of the following investigations will be done, chapter two. The next chapter will describe the different regression techniques which try to solve the model. The fourth chapter is going to show the behavior of these regression techniques in large samples, i.e. shows some classical methods of statistical inference. Following chapter five will give an introduction to the bootstrap which will be succeeded by a description of the bootstrap in regression problems, chapter six. The seventh chapter will show how inference is done with the help of the bootstrap. The eighth chapter is going to compare the performances of classical and bootstrap inference in regressions. Before the concluding remarks of chapter ten, there will be a practical application in chapter nine which tries to prove some observations of the preceeding chapters.
Author : Jonas Böhmer
Publisher : GRIN Verlag
ISBN 13 : 3640421833
Total Pages : 61 pages
Book Rating : 4.6/5 (44 download)
Download or read book Least Squares Regressions with the Bootstrap written by Jonas Böhmer and published by GRIN Verlag. This book was released on 2009-09 with total page 61 pages. Available in PDF, EPUB and Kindle. Book excerpt: Diploma Thesis from the year 2009 in the subject Statistics, grade: 1,6, University of Bonn (Statistische Abteilung der Rechts- und Staatswissenschaftlichen Fakult t), course: Diplomarbeit bei Prof.Dr. Alois Kneip, language: English, abstract: The statistical technique called bootstrap is usable with a lot of inferential problems and it is the main topic of this paper. Since the bootstrap provides material for a whole series of books it is essential to pick one special aspect of the bootstrap and investigate it in depth, otherwise the analysis would inevitably become too general. This aspect is the topic of regression. Hence, this paper will introduce the bootstrap and compare the performance of the new inference methods which it provides with some classical methods of judging a regression which were used in the years before the bootstrap. Therefore the remainder of this paper is as follows: First there will be a description of the basic model in which all of the following investigations will be done, chapter two. The next chapter will describe the different regression techniques which try to solve the model. The fourth chapter is going to show the behavior of these regression techniques in large samples, i.e. shows some classical methods of statistical inference. Following chapter five will give an introduction to the bootstrap which will be succeeded by a description of the bootstrap in regression problems, chapter six. The seventh chapter will show how inference is done with the help of the bootstrap. The eighth chapter is going to compare the performances of classical and bootstrap inference in regressions. Before the concluding remarks of chapter ten, there will be a practical application in chapter nine which tries to prove some observations of the preceeding chapters.
Author : Christopher Z. Mooney
Publisher : SAGE
ISBN 13 : 9780803953819
Total Pages : 84 pages
Book Rating : 4.9/5 (538 download)
Download or read book Bootstrapping written by Christopher Z. Mooney and published by SAGE. This book was released on 1993-08-09 with total page 84 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book is. . . clear and well-written. . . anyone with any interest in the basis of quantitative analysis simply must read this book. . . . well-written, with a wealth of explanation. . ." --Dougal Hutchison in Educational Research Using real data examples, this volume shows how to apply bootstrapping when the underlying sampling distribution of a statistic cannot be assumed normal, as well as when the sampling distribution has no analytic solution. In addition, it discusses the advantages and limitations of four bootstrap confidence interval methods--normal approximation, percentile, bias-corrected percentile, and percentile-t. The book concludes with a convenient summary of how to apply this computer-intensive methodology using various available software packages.
Author : George Kapetanios
Publisher :
ISBN 13 :
Total Pages : 32 pages
Book Rating : 4.:/5 (593 download)
Download or read book Non-nested Models and the Likelihood Ratio Statistic written by George Kapetanios and published by . This book was released on 2003 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Natalie Neumeyer
Publisher :
ISBN 13 :
Total Pages : 30 pages
Book Rating : 4.:/5 (255 download)
Download or read book Bootstrap Tests for the Error Distribution in Linear and Nonparametric Regression Models written by Natalie Neumeyer and published by . This book was released on 2004 with total page 30 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Bryan F.J. Manly
Publisher : CRC Press
ISBN 13 : 9780412721304
Total Pages : 428 pages
Book Rating : 4.7/5 (213 download)
Download or read book Randomization, Bootstrap and Monte Carlo Methods in Biology, Second Edition written by Bryan F.J. Manly and published by CRC Press. This book was released on 1997-03-01 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: Randomization, Bootstrap and Monte Carlo Methods in Biology, Second Edition features new material on on bootstrap confidence intervals and significance testing, and incorporates new developments on the treatments of randomization methods for regression and analysis variation, including descriptions of applications of these methods in spreadsheet programs such as Lotus and other commercial packages. This second edition illustrates the value of modern computer intensive methods in the solution of a wide range of problems, with particular emphasis on biological applications. Examples given in the text include the controversial topic of whether there is periodicity between co-occurrences of species on islands.
Author : William Cyrus Navidi
Publisher :
ISBN 13 :
Total Pages : 130 pages
Book Rating : 4.:/5 (29 download)
Download or read book Edgeworth Expansions for Bootstrapping Regression Models written by William Cyrus Navidi and published by . This book was released on 1986 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : M. Hashem Pesaran
Publisher :
ISBN 13 : 9780868311418
Total Pages : 10 pages
Book Rating : 4.3/5 (114 download)
Download or read book Tests of Non-nested Linear Regression Models Subject to Linear Restrictions written by M. Hashem Pesaran and published by . This book was released on 1986 with total page 10 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Michael R. Chernick
Publisher : John Wiley & Sons
ISBN 13 : 1118211596
Total Pages : 337 pages
Book Rating : 4.1/5 (182 download)
Download or read book Bootstrap Methods written by Michael R. Chernick and published by John Wiley & Sons. This book was released on 2011-09-23 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical and accessible introduction to the bootstrap method——newly revised and updated Over the past decade, the application of bootstrap methods to new areas of study has expanded, resulting in theoretical and applied advances across various fields. Bootstrap Methods, Second Edition is a highly approachable guide to the multidisciplinary, real-world uses of bootstrapping and is ideal for readers who have a professional interest in its methods, but are without an advanced background in mathematics. Updated to reflect current techniques and the most up-to-date work on the topic, the Second Edition features: The addition of a second, extended bibliography devoted solely to publications from 1999–2007, which is a valuable collection of references on the latest research in the field A discussion of the new areas of applicability for bootstrap methods, including use in the pharmaceutical industry for estimating individual and population bioequivalence in clinical trials A revised chapter on when and why bootstrap fails and remedies for overcoming these drawbacks Added coverage on regression, censored data applications, P-value adjustment, ratio estimators, and missing data New examples and illustrations as well as extensive historical notes at the end of each chapter With a strong focus on application, detailed explanations of methodology, and complete coverage of modern developments in the field, Bootstrap Methods, Second Edition is an indispensable reference for applied statisticians, engineers, scientists, clinicians, and other practitioners who regularly use statistical methods in research. It is also suitable as a supplementary text for courses in statistics and resampling methods at the upper-undergraduate and graduate levels.
Author : L. G. Godfrey
Publisher :
ISBN 13 :
Total Pages : 21 pages
Book Rating : 4.:/5 (254 download)
Download or read book Tests of non-nested regression models : small sample adjustments and monte carlo evidence written by L. G. Godfrey and published by . This book was released on 1985 with total page 21 pages. Available in PDF, EPUB and Kindle. Book excerpt:
