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Variance Components


Variance Components
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Variance Components


Variance Components
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Author : Shayle R. Searle
language : en
Publisher: John Wiley & Sons
Release Date : 2009-09-25

Variance Components written by Shayle R. Searle 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 2009-09-25 with Mathematics categories.


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.



Variance Components


Variance Components
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Author : Poduri S.R.S. Rao
language : en
Publisher: CRC Press
Release Date : 1997-06-01

Variance Components written by Poduri S.R.S. Rao and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-06-01 with Mathematics categories.


Variance Components Estimation deals with the evaluation of the variation between observable data or classes of data. This is an up-to-date, comprehensive work that is both theoretical and applied. Topics include ML and REML methods of estimation; Steepest-Acent, Newton-Raphson, scoring, and EM algorithms; MINQUE and MIVQUE, confidence intervals for variance components and their ratios; Bayesian approaches and hierarchical models; mixed models for longitudinal data; repeated measures and multivariate observations; as well as non-linear and generalized linear models with random effects.



Confidence Intervals On Variance Components


Confidence Intervals On Variance Components
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Author : Burdick
language : en
Publisher: CRC Press
Release Date : 1992-02-28

Confidence Intervals On Variance Components written by Burdick and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992-02-28 with Mathematics categories.


Summarizes information scattered in the technical literature on a subject too new to be included in most textbooks, but which is of interest to statisticians, and those who use statistics in science and education, at an advanced undergraduate or higher level. Overviews recent research on constructin



Analysis Of Variance For Random Models Volume 2 Unbalanced Data


Analysis Of Variance For Random Models Volume 2 Unbalanced Data
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Author : Hardeo Sahai
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-07-03

Analysis Of Variance For Random Models Volume 2 Unbalanced Data written by Hardeo Sahai 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 2007-07-03 with Mathematics categories.


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.



Statistical Methods For Six Sigma


Statistical Methods For Six Sigma
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Author : Anand M. Joglekar
language : en
Publisher: John Wiley & Sons
Release Date : 2003-09-19

Statistical Methods For Six Sigma written by Anand M. Joglekar 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 2003-09-19 with Science categories.


A guide to achieving business successes through statistical methods Statistical methods are a key ingredient in providing data-based guidance to research and development as well as to manufacturing. Understanding the concepts and specific steps involved in each statistical method is critical for achieving consistent and on-target performance. Written by a recognized educator in the field, Statistical Methods for Six Sigma: In R&D and Manufacturing is specifically geared to engineers, scientists, technical managers, and other technical professionals in industry. Emphasizing practical learning, applications, and performance improvement, Dr. Joglekar?s text shows today?s industry professionals how to: Summarize and interpret data to make decisions Determine the amount of data to collect Compare product and process designs Build equations relating inputs and outputs Establish specifications and validate processes Reduce risk and cost-of-process control Quantify and reduce economic loss due to variability Estimate process capability and plan process improvements Identify key causes and their contributions to variability Analyze and improve measurement systems This long-awaited guide for students and professionals in research, development, quality, and manufacturing does not presume any prior knowledge of statistics. It covers a large number of useful statistical methods compactly, in a language and depth necessary to make successful applications. Statistical methods in this book include: variance components analysis, variance transmission analysis, risk-based control charts, capability and performance indices, quality planning, regression analysis, comparative experiments, descriptive statistics, sample size determination, confidence intervals, tolerance intervals, and measurement systems analysis. The book also contains a wealth of case studies and examples, and features a unique test to evaluate the reader?s understanding of the subject.



Handbook Of Research Methods In Personality Psychology


Handbook Of Research Methods In Personality Psychology
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Author : Richard W. Robins
language : en
Publisher: Guilford Press
Release Date : 2009-12-09

Handbook Of Research Methods In Personality Psychology written by Richard W. Robins and has been published by Guilford Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-12-09 with Psychology categories.


Bringing together leading investigators, this comprehensive handbook is a one-stop reference for anyone planning or conducting research on personality. It provides up-to-date analyses of the rich array of methodological tools available today, giving particular attention to real-world theoretical and logistical challenges and how to overcome them. In chapters filled with detailed, practical examples, readers are shown step by step how to formulate a suitable research design, select and use high-quality measures, and manage the complexities of data analysis and interpretation. Coverage ranges from classic methods like self-report inventories and observational procedures to such recent innovations as neuroimaging and genetic analyses.



Quantitative Genetics And Selection In Plant Breeding


Quantitative Genetics And Selection In Plant Breeding
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Author : Günter Wricke
language : en
Publisher: Walter de Gruyter
Release Date : 2010-10-06

Quantitative Genetics And Selection In Plant Breeding written by Günter Wricke and has been published by Walter de Gruyter this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-10-06 with Science categories.


No detailed description available for "Quantitative Genetics and Selection in Plant Breeding".



Implementing Six Sigma


Implementing Six Sigma
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Author : Forrest W. Breyfogle, III
language : en
Publisher: John Wiley & Sons
Release Date : 2003-11-24

Implementing Six Sigma written by Forrest W. Breyfogle, III 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 2003-11-24 with Technology & Engineering categories.


Das bewährte Handbuch zum Statistiktool Six Sigma - jetzt in neuer, aktualisierter Auflage! - besprochen werden täglich benötigte Verfahren und deren Implementation - erweiterte Behandlung u.a. des Benchmarkings - mit vielen praxisnahen Übungen - enthält Pläne, Checklisten und Übersichten häufig auftretender Fehler



Linear Mixed Models For Longitudinal Data


Linear Mixed Models For Longitudinal Data
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Author : Geert Verbeke
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-04-28

Linear Mixed Models For Longitudinal Data written by Geert Verbeke 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 2009-04-28 with Mathematics categories.


This book provides a comprehensive treatment of linear mixed models for continuous longitudinal data. Next to model formulation, this edition puts major emphasis on exploratory data analysis for all aspects of the model, such as the marginal model, subject-specific profiles, and residual covariance structure. Further, model diagnostics and missing data receive extensive treatment. Sensitivity analysis for incomplete data is given a prominent place. Most analyses were done with the MIXED procedure of the SAS software package, but the data analyses are presented in a software-independent fashion.



Nbs Special Publication


Nbs Special Publication
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Author :
language : en
Publisher:
Release Date : 1970

Nbs Special Publication written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1970 with Weights and measures categories.