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Author : J... H... Goodnight
Publisher :
ISBN 13 :
Total Pages : 10 pages
Book Rating : 4.:/5 (44 download)
Download or read book A simplified algorithm for the W-transformation in variance component estimation written by J... H... Goodnight and published by . This book was released on 1978 with total page 10 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : SAS Publishing
Publisher :
ISBN 13 : 9781580251860
Total Pages : 12 pages
Book Rating : 4.2/5 (518 download)
Download or read book SAS(R) Technical Report R-104, a Simplified Algorithm for the W-Transformation in Variance Component Estimation written by SAS Publishing and published by . This book was released on 1995-01-01 with total page 12 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Hardeo Sahai
Publisher : Springer Science & Business Media
ISBN 13 : 0817644253
Total Pages : 493 pages
Book Rating : 4.8/5 (176 download)
Download or read book Analysis of Variance for Random Models, Volume 2: Unbalanced Data written by Hardeo Sahai and published by Springer Science & Business Media. This book was released on 2007-07-03 with total page 493 pages. Available in PDF, EPUB and Kindle. Book excerpt: Systematic treatment of the commonly employed crossed and nested classification models used in analysis of variance designs with a detailed and thorough discussion of certain random effects models not commonly found in texts at the introductory or intermediate level. It also includes numerical examples to analyze data from a wide variety of disciplines as well as any worked examples containing computer outputs from standard software packages such as SAS, SPSS, and BMDP for each numerical example.
Author : Oliver Schabenberger
Publisher : CRC Press
ISBN 13 : 020349198X
Total Pages : 584 pages
Book Rating : 4.2/5 (34 download)
Download or read book Statistical Methods for Spatial Data Analysis written by Oliver Schabenberger and published by CRC Press. This book was released on 2004-12-20 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understanding spatial statistics requires tools from applied and mathematical statistics, linear model theory, regression, time series, and stochastic processes. It also requires a mindset that focuses on the unique characteristics of spatial data and the development of specialized analytical tools designed explicitly for spatial data analysis. Statistical Methods for Spatial Data Analysis answers the demand for a text that incorporates all of these factors by presenting a balanced exposition that explores both the theoretical foundations of the field of spatial statistics as well as practical methods for the analysis of spatial data. This book is a comprehensive and illustrative treatment of basic statistical theory and methods for spatial data analysis, employing a model-based and frequentist approach that emphasizes the spatial domain. It introduces essential tools and approaches including: measures of autocorrelation and their role in data analysis; the background and theoretical framework supporting random fields; the analysis of mapped spatial point patterns; estimation and modeling of the covariance function and semivariogram; a comprehensive treatment of spatial analysis in the spectral domain; and spatial prediction and kriging. The volume also delivers a thorough analysis of spatial regression, providing a detailed development of linear models with uncorrelated errors, linear models with spatially-correlated errors and generalized linear mixed models for spatial data. It succinctly discusses Bayesian hierarchical models and concludes with reviews on simulating random fields, non-stationary covariance, and spatio-temporal processes. Additional material on the CRC Press website supplements the content of this book. The site provides data sets used as examples in the text, software code that can be used to implement many of the principal methods described and illustrated, and updates to the text itself.
Author :
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ISBN 13 :
Total Pages : 796 pages
Book Rating : 4.3/5 (91 download)
Download or read book SIAM Journal on Scientific Computing written by and published by . This book was released on 1995 with total page 796 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :
Publisher :
ISBN 13 :
Total Pages : 610 pages
Book Rating : 4.3/5 (91 download)
Download or read book SAS User's Guide written by and published by . This book was released on 1982 with total page 610 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Marta Lydia Zanelli
Publisher :
ISBN 13 :
Total Pages : 448 pages
Book Rating : 4.E/5 ( download)
Download or read book Empirical Bayes Methods in Mixed Linear Models written by Marta Lydia Zanelli and published by . This book was released on 1985 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : SAS Institute
Publisher :
ISBN 13 :
Total Pages : 48 pages
Book Rating : 4.X/5 (2 download)
Download or read book SAS Communications written by SAS Institute and published by . This book was released on 1988 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Statistical Analysis System Institute
Publisher :
ISBN 13 : 9781580254946
Total Pages : 1326 pages
Book Rating : 4.2/5 (549 download)
Download or read book SAS/STAT User's Guide written by Statistical Analysis System Institute and published by . This book was released on 1999 with total page 1326 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Long Huu Ngo
Publisher :
ISBN 13 :
Total Pages : 320 pages
Book Rating : 4.:/5 (34 download)
Download or read book Model Selection in Linear Mixed-effects Models written by Long Huu Ngo and published by . This book was released on 2000 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Shayle R. Searle
Publisher : Wiley-Blackwell
ISBN 13 :
Total Pages : 568 pages
Book Rating : 4.:/5 (319 download)
Download or read book Linear Models for Unbalanced Data written by Shayle R. Searle and published by Wiley-Blackwell. This book was released on 1987-08-14 with total page 568 pages. Available in PDF, EPUB and Kindle. Book excerpt: This presentation of the fundamentals of linear statistical models is unique in its total devotion to unbalanced data (data having unequal numbers of observations in the subclasses) and its emphasis on the up-to-date cell means model approach to linear models for unbalanced data. Unbalanced data are harder to analyze and understand than balanced data, but are becoming more prevalent through computer storage of data. Topics covered include cell means models, 1-way classification, nested classifications, 2-way classification with some-cells-empty data, models with covariables, matrix algebra and quadratic forms, linear model theory, comments on computing packages, and much more. Includes references and statistical tables.
Author : Rose Arny
Publisher :
ISBN 13 :
Total Pages : 1190 pages
Book Rating : 4.3/5 (91 download)
Download or read book Forthcoming Books written by Rose Arny and published by . This book was released on 2003-04 with total page 1190 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :
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ISBN 13 :
Total Pages : 812 pages
Book Rating : 4.3/5 (91 download)
Download or read book Current Index to Statistics, Applications, Methods and Theory written by and published by . This book was released on 1997 with total page 812 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Current Index to Statistics (CIS) is a bibliographic index of publications in statistics, probability, and related fields.
Author : Ronald R. Hocking
Publisher :
ISBN 13 :
Total Pages : 66 pages
Book Rating : 4.:/5 (13 download)
Download or read book An EM-AVE Algorithm for Variance Component Estimation with Simple Diagnostics written by Ronald R. Hocking and published by . This book was released on 1992 with total page 66 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this paper is to describe a new approach to computing estimates of variance components in a general class of unbalanced, mixed linear models. The computation is based on the method of restricted maximum likelihood (REML) and uses a combination of the EM algorithm and the AVE approach which has been applied in balanced designs. An added feature of the procedure is that it yields simple diagnostic information on the data and the model assumptions. A numerical example which illustrates the procedure and the diagnostic analysis is included.
Author : SAS Institute
Publisher :
ISBN 13 :
Total Pages : 178 pages
Book Rating : 4.X/5 (1 download)
Download or read book Master Index to SAS System Documentation for Personal Computers written by SAS Institute and published by . This book was released on 1987 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : SAS Institute
Publisher :
ISBN 13 : 9781555440473
Total Pages : 236 pages
Book Rating : 4.4/5 (44 download)
Download or read book Master Index to SAS System Documentation written by SAS Institute and published by . This book was released on 1987 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: Estatistica matematica; SAS; Master index.
Author : Shayle R. Searle
Publisher : John Wiley & Sons
ISBN 13 : 0470317698
Total Pages : 537 pages
Book Rating : 4.4/5 (73 download)
Download or read book Variance Components written by Shayle R. Searle and published by John Wiley & Sons. This book was released on 2009-09-25 with total page 537 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. ". . .Variance Components is an excellent book. It is organized and well written, and provides many references to a variety of topics. I recommend it to anyone with interest in linear models." —Journal of the American Statistical Association "This book provides a broad coverage of methods for estimating variance components which appeal to students and research workers . . . The authors make an outstanding contribution to teaching and research in the field of variance component estimation." —Mathematical Reviews "The authors have done an excellent job in collecting materials on a broad range of topics. Readers will indeed gain from using this book . . . I must say that the authors have done a commendable job in their scholarly presentation." —Technometrics This book focuses on summarizing the variability of statistical data known as the analysis of variance table. Penned in a readable style, it provides an up-to-date treatment of research in the area. The book begins with the history of analysis of variance and continues with discussions of balanced data, analysis of variance for unbalanced data, predictions of random variables, hierarchical models and Bayesian estimation, binary and discrete data, and the dispersion mean model.
