Author: R. L. AndersonPublisher:
ISBN:
Category :
Languages : en
Pages : 18
Book Description
Comparisons of Designs and Estimation Procedures for Estimating Parameters in a Two-stage Nested Process
Analysis of Variance for Random Models, Volume 2: Unbalanced Data
Author: Hardeo SahaiPublisher: Springer Science & Business Media
ISBN: 0817644253
Category : Mathematics
Languages : en
Pages : 493
Book Description
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.
NBS Special Publication
Author: Publisher:
ISBN:
Category : Weights and measures
Languages : en
Pages : 574
Book Description
BMDP Statistical Software
Author: Wilfrid Joseph DixonPublisher: Univ of California Press
ISBN: 9780520044081
Category : Computers
Languages : en
Pages : 748
Book Description
Statistical Tests for Mixed Linear Models
Author: André I. KhuriPublisher: John Wiley & Sons
ISBN: 1118164857
Category : Mathematics
Languages : en
Pages : 384
Book Description
An advanced discussion of linear models with mixed or randomeffects. In recent years a breakthrough has occurred in our ability todraw inferences from exact and optimum tests of variance componentmodels, generating much research activity that relies on linearmodels with mixed and random effects. This volume covers the mostimportant research of the past decade as well as the latestdevelopments in hypothesis testing. It compiles all currentlyavailable results in the area of exact and optimum tests forvariance component models and offers the only comprehensivetreatment for these models at an advanced level. Statistical Tests for Mixed Linear Models: Combines analysis and testing in one self-containedvolume. Describes analysis of variance (ANOVA) procedures in balancedand unbalanced data situations. Examines methods for determining the effect of imbalance ondata analysis. Explains exact and optimum tests and methods for theirderivation. Summarizes test procedures for multivariate mixed and randommodels. Enables novice readers to skip the derivations and discussionson optimum tests. Offers plentiful examples and exercises, manyof which are numerical in flavor. Provides solutions to selected exercises. Statistical Tests for Mixed Linear Models is an accessiblereference for researchers in analysis of variance, experimentaldesign, variance component analysis, and linear mixed models. It isalso an important text for graduate students interested in mixedmodels.
Maximum Likelihood Estimation for the Three-stage Nested Bainbridge Design with Comparison of Designs and Estimators
Author: Mohammad ZokaeiPublisher:
ISBN:
Category : Analysis of variance
Languages : en
Pages : 204
Book Description
Variance Components
Author: Shayle R. SearlePublisher: John Wiley & Sons
ISBN: 0470317698
Category : Mathematics
Languages : en
Pages : 537
Book 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. ". . .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.
BMDP-79
Author: University of California, Los Angeles. Health Sciences Computing FacilityPublisher: Univ of California Press
ISBN: 9780520035690
Category : Computers
Languages : en
Pages : 900
Book Description
Research Procedures and Data Analysis
Author: James WilsonPublisher: Springer Science & Business Media
ISBN: 1461589398
Category : Science
Languages : en
Pages : 459
Book Description
An Author and Permuted Title Index to Selected Statistical Journals
Author: Brian L. JoinerPublisher:
ISBN:
Category : Annals of mathematical statistics
Languages : en
Pages : 512
Book Description
All articles, notes, queries, corrigenda, and obituaries appearing in the following journals during the indicated years are indexed: Annals of mathematical statistics, 1961-1969; Biometrics, 1965-1969#3; Biometrics, 1951-1969; Journal of the American Statistical Association, 1956-1969; Journal of the Royal Statistical Society, Series B, 1954-1969,#2; South African statistical journal, 1967-1969,#2; Technometrics, 1959-1969.--p.iv.