Two Essays on the Moving Blocks Bootstrap and Robust Inference in Linear Regressions PDF Download
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Author: Bernd Fitzenberger
Publisher:
ISBN:
Category :
Languages : en
Pages : 454
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Book Description
Author: Bernd Fitzenberger
Publisher:
ISBN:
Category :
Languages : en
Pages : 454
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Book Description
Author:
Publisher:
ISBN:
Category : Dissertations, Academic
Languages : en
Pages : 618
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Author:
Publisher:
ISBN:
Category : Econometrics
Languages : en
Pages : 794
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Author:
Publisher:
ISBN:
Category : Bibliographical literature
Languages : en
Pages : 1096
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Book Description
Author: Virendera K. Srivastava
Publisher: CRC Press
ISBN: 1000105725
Category : Mathematics
Languages : en
Pages : 392
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Book Description
This book brings together the scattered literature associated with the seemingly unrelated regression equations (SURE) model used by econometricians and others. It focuses on the theoretical statistical results associated with the SURE model.
Author: G. S. Maddala
Publisher: Cambridge University Press
ISBN: 9780521587822
Category : Business & Economics
Languages : en
Pages : 528
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Book Description
A comprehensive review of unit roots, cointegration and structural change from a best-selling author.
Author: Harvey Motulsky
Publisher: Oxford University Press
ISBN: 9780198038344
Category : Mathematics
Languages : en
Pages : 352
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Book Description
Most biologists use nonlinear regression more than any other statistical technique, but there are very few places to learn about curve-fitting. This book, by the author of the very successful Intuitive Biostatistics, addresses this relatively focused need of an extraordinarily broad range of scientists.
Author: Andrew Gelman
Publisher: Cambridge University Press
ISBN: 110702398X
Category : Business & Economics
Languages : en
Pages : 551
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Book Description
A practical approach to using regression and computation to solve real-world problems of estimation, prediction, and causal inference.
Author: Michael J. Crawley
Publisher: John Wiley & Sons
ISBN: 9780470515068
Category : Mathematics
Languages : en
Pages : 953
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Book Description
The high-level language of R is recognized as one of the mostpowerful and flexible statistical software environments, and israpidly becoming the standard setting for quantitative analysis,statistics and graphics. R provides free access to unrivalledcoverage and cutting-edge applications, enabling the user to applynumerous statistical methods ranging from simple regression to timeseries or multivariate analysis. Building on the success of the author’s bestsellingStatistics: An Introduction using R, The R Book ispacked with worked examples, providing an all inclusive guide to R,ideal for novice and more accomplished users alike. The bookassumes no background in statistics or computing and introduces theadvantages of the R environment, detailing its applications in awide range of disciplines. Provides the first comprehensive reference manual for the Rlanguage, including practical guidance and full coverage of thegraphics facilities. Introduces all the statistical models covered by R, beginningwith simple classical tests such as chi-square and t-test. Proceeds to examine more advance methods, from regression andanalysis of variance, through to generalized linear models,generalized mixed models, time series, spatial statistics,multivariate statistics and much more. The R Book is aimed at undergraduates, postgraduates andprofessionals in science, engineering and medicine. It is alsoideal for students and professionals in statistics, economics,geography and the social sciences.
Author: Dimitris N. Politis
Publisher: Springer Science & Business Media
ISBN: 1461215544
Category : Mathematics
Languages : en
Pages : 359
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Book Description
Since Efron's profound paper on the bootstrap, an enormous amount of effort has been spent on the development of bootstrap, jacknife, and other resampling methods. The primary goal of these computer-intensive methods has been to provide statistical tools that work in complex situations without imposing unrealistic or unverifiable assumptions about the data generating mechanism. This book sets out to lay some of the foundations for subsampling methodology and related methods.
