Simultaneous Inference In Regression
DOWNLOAD
Download Simultaneous Inference In Regression PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Simultaneous Inference In Regression book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Simultaneous Inference In Regression
DOWNLOAD
Author : Wei Liu
language : en
Publisher: CRC Press
Release Date : 2010-10-19
Simultaneous Inference In Regression written by Wei Liu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-10-19 with Mathematics categories.
Simultaneous confidence bands enable more intuitive and detailed inference of regression analysis than the standard inferential methods of parameter estimation and hypothesis testing. Simultaneous Inference in Regression provides a thorough overview of the construction methods and applications of simultaneous confidence bands for various inferentia
Simultaneous Inference And The Choice Of Variable Subsets In Multiple Regression
DOWNLOAD
Author : Murray A. Aitkin
language : en
Publisher:
Release Date : 1972
Simultaneous Inference And The Choice Of Variable Subsets In Multiple Regression written by Murray A. Aitkin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1972 with Regression analysis categories.
Simultaneous Statistical Inference
DOWNLOAD
Author : Rupert G. Jr. Miller
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Simultaneous Statistical Inference written by Rupert G. Jr. Miller and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Mathematics categories.
Simultaneous Statistical Inference, which was published originally in 1966 by McGraw-Hill Book Company, went out of print in 1973. Since then, it has been available from University Microfilms International in xerox form. With this new edition Springer-Verlag has republished the original edition along with my review article on multiple comparisons from the December 1977 issue of the Journal of the American Statistical Association. This review article covered developments in the field from 1966 through 1976. A few minor typographical errors in the original edition have been corrected in this new edition. A new table of critical points for the studentized maximum modulus is included in this second edition as an addendum. The original edition included the table by K. C. S. Pillai and K. V. Ramachandran, which was meager but the best available at the time. This edition contains the table published in Biometrika in 1971 by G. 1. Hahn and R. W. Hendrickson, which is far more comprehensive and therefore more useful. The typing was ably handled by Wanda Edminster for the review article and Karola Decleve for the changes for the second edition. My wife, Barbara, again cheerfully assisted in the proofreading. Fred Leone kindly granted permission from the American Statistical Association to reproduce my review article. Also, Gerald Hahn, Richard Hendrickson, and, for Biometrika, David Cox graciously granted permission to reproduce the new table of the studentized maximum modulus. The work in preparing the review article was partially supported by NIH Grant ROI GM21215.
Simultaneous Statistical Inference
DOWNLOAD
Author : Thorsten Dickhaus
language : en
Publisher: Springer Science & Business Media
Release Date : 2014-01-23
Simultaneous Statistical Inference written by Thorsten Dickhaus and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-23 with Science categories.
This monograph will provide an in-depth mathematical treatment of modern multiple test procedures controlling the false discovery rate (FDR) and related error measures, particularly addressing applications to fields such as genetics, proteomics, neuroscience and general biology. The book will also include a detailed description how to implement these methods in practice. Moreover new developments focusing on non-standard assumptions are also included, especially multiple tests for discrete data. The book primarily addresses researchers and practitioners but will also be beneficial for graduate students.
Simultaneous Inference In Econometric Models
DOWNLOAD
Author : Walter Katzenbeisser
language : en
Publisher:
Release Date : 1981
Simultaneous Inference In Econometric Models written by Walter Katzenbeisser and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1981 with Econometric models categories.
Linear Models In Statistics
DOWNLOAD
Author : Alvin C. Rencher
language : en
Publisher: John Wiley & Sons
Release Date : 2008-01-07
Linear Models In Statistics written by Alvin C. Rencher and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-01-07 with Mathematics categories.
The essential introduction to the theory and application of linear models—now in a valuable new edition Since most advanced statistical tools are generalizations of the linear model, it is neces-sary to first master the linear model in order to move forward to more advanced concepts. The linear model remains the main tool of the applied statistician and is central to the training of any statistician regardless of whether the focus is applied or theoretical. This completely revised and updated new edition successfully develops the basic theory of linear models for regression, analysis of variance, analysis of covariance, and linear mixed models. Recent advances in the methodology related to linear mixed models, generalized linear models, and the Bayesian linear model are also addressed. Linear Models in Statistics, Second Edition includes full coverage of advanced topics, such as mixed and generalized linear models, Bayesian linear models, two-way models with empty cells, geometry of least squares, vector-matrix calculus, simultaneous inference, and logistic and nonlinear regression. Algebraic, geometrical, frequentist, and Bayesian approaches to both the inference of linear models and the analysis of variance are also illustrated. Through the expansion of relevant material and the inclusion of the latest technological developments in the field, this book provides readers with the theoretical foundation to correctly interpret computer software output as well as effectively use, customize, and understand linear models. This modern Second Edition features: New chapters on Bayesian linear models as well as random and mixed linear models Expanded discussion of two-way models with empty cells Additional sections on the geometry of least squares Updated coverage of simultaneous inference The book is complemented with easy-to-read proofs, real data sets, and an extensive bibliography. A thorough review of the requisite matrix algebra has been addedfor transitional purposes, and numerous theoretical and applied problems have been incorporated with selected answers provided at the end of the book. A related Web site includes additional data sets and SAS® code for all numerical examples. Linear Model in Statistics, Second Edition is a must-have book for courses in statistics, biostatistics, and mathematics at the upper-undergraduate and graduate levels. It is also an invaluable reference for researchers who need to gain a better understanding of regression and analysis of variance.
Multiple Comparisons
DOWNLOAD
Author : Jason Hsu
language : en
Publisher: CRC Press
Release Date : 1996-02-01
Multiple Comparisons written by Jason Hsu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-02-01 with Mathematics categories.
Multiple Comparisons introduces simultaneous statistical inference and covers the theory and techniques for all-pairwise comparisons, multiple comparisons with the best, and multiple comparisons with a control. The author describes confidence intervals methods and stepwise exposes abuses and misconceptions, and guides readers to the correct method for each problem. Discussions also include the connections with bioequivalence, drug stability, and toxicity studies Real data sets analyzed by computer software packages illustrate the applications presented.
Simultaneous Inference On Jointly Considered Subsets Of Treatment Effects
DOWNLOAD
Author : Stephen A. Rowe
language : en
Publisher:
Release Date : 1993
Simultaneous Inference On Jointly Considered Subsets Of Treatment Effects written by Stephen A. Rowe and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with categories.
Simultaneous Inference Procedures Using The Method Of Quasi Likelihood With An Application To Feedback Models
DOWNLOAD
Author : Suparni Gunasekera
language : en
Publisher:
Release Date : 1992
Simultaneous Inference Procedures Using The Method Of Quasi Likelihood With An Application To Feedback Models written by Suparni Gunasekera and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Estimation theory categories.
Using R For Principles Of Econometrics
DOWNLOAD
Author : Constantin Colonescu
language : en
Publisher: Lulu.com
Release Date : 2018-01-05
Using R For Principles Of Econometrics written by Constantin Colonescu and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-05 with Business & Economics categories.
This is a beginner's guide to applied econometrics using the free statistics software R. It provides and explains R solutions to most of the examples in 'Principles of Econometrics' by Hill, Griffiths, and Lim, fourth edition. 'Using R for Principles of Econometrics' requires no previous knowledge in econometrics or R programming, but elementary notions of statistics are helpful.