Minimum Norm and Minimum Variance Quadratic Unbiased Estimation of Variance Components

Minimum Norm and Minimum Variance Quadratic Unbiased Estimation of Variance Components PDF Author: William Hutchinson Swallow
Publisher:
ISBN:
Category : Analysis of variance
Languages : en
Pages : 240

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Minimum Norm and Minimum Variance Quadratic Unbiased Estimation of Variance Components

Minimum Norm and Minimum Variance Quadratic Unbiased Estimation of Variance Components PDF Author: William Hutchinson Swallow
Publisher:
ISBN:
Category : Analysis of variance
Languages : en
Pages : 240

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Book Description


Analysis of Variance for Random Models, Volume 2: Unbalanced Data

Analysis of Variance for Random Models, Volume 2: Unbalanced Data PDF Author: Hardeo Sahai
Publisher: Springer Science & Business Media
ISBN: 0817644253
Category : Mathematics
Languages : en
Pages : 480

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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.

Estimation of Variance Components and Applications

Estimation of Variance Components and Applications PDF Author: Calyampudi Radhakrishna Rao
Publisher: North Holland
ISBN:
Category : Business & Economics
Languages : en
Pages : 392

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Book Description
Matrix algebra; Asymptotic distribution of quadratic statistics; Variance and covariance components models; Identifiability and estimability; minimum norm quadratic estimation; Pulling of information for estimation; Uniform optimality of minqe's; Computation of minqe's for variance-convariance components models; Integrated minqe and mile; Asymptotic properties estimators; Minimum variance quadratic estimation; Aplications to selection problems.

Optimal Unbiased Estimation of Variance Components

Optimal Unbiased Estimation of Variance Components PDF Author: James D. Malley
Publisher: Springer Science & Business Media
ISBN: 1461575540
Category : Mathematics
Languages : en
Pages : 157

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Variance Components

Variance Components PDF Author: Shayle R. Searle
Publisher: John Wiley & Sons
ISBN: 0470317698
Category : Mathematics
Languages : en
Pages : 537

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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.

Poultry Genetics, Breeding and Biotechnology

Poultry Genetics, Breeding and Biotechnology PDF Author: W.M. Muir
Publisher: Lulu.com
ISBN: 0359593666
Category : Electronic books
Languages : en
Pages : 720

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Book Description


Variance Components

Variance Components PDF Author: Poduri S.R.S. Rao
Publisher: CRC Press
ISBN: 9780412728600
Category : Mathematics
Languages : en
Pages : 232

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Book Description
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.

Plant Breeding Reviews, Volume 22

Plant Breeding Reviews, Volume 22 PDF Author: Jules Janick
Publisher: John Wiley & Sons
ISBN: 0471463388
Category : Science
Languages : en
Pages : 457

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Book Description
Plant Breeding Reviews, Volume 22 presents state-of-the-art reviews on plant genetics and the breeding of all types of crops by both traditional means and molecular methods. The emphasis of the series is on methodology, a practical understanding of crop genetics, and applications to major crops.

Planning, Construction, and Statistical Analysis of Comparative Experiments

Planning, Construction, and Statistical Analysis of Comparative Experiments PDF Author: Francis G. Giesbrecht
Publisher: John Wiley & Sons
ISBN: 047147648X
Category : Mathematics
Languages : en
Pages : 693

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Book Description
A valuable guide to conducting experiments and analyzing dataacross a wide range of applications Experimental design is an important component of the scientificmethod. This book provides guidance on planning efficientinvestigations. It compiles designs for a wide range ofexperimental situations not previously found in accessible form.Focusing on applications in the physical, engineering, biological,and social sciences, Planning, Construction, and StatisticalAnalysis of Comparative Experiments is a valuable guide todesigning experiments and correctly analyzing and interpreting theresults. The authors draw on their years of experience in theclassroom and as statistical consultants to research programs oncampus, in government, and in industry. The object is always tostrike the right balance between mathematical necessities andpractical constraints. Serving both as a textbook for students of intermediatestatistics and a hands-on reference for active researchers, thetext includes: A wide range of applications, including agricultural sciences,animal and biomedical sciences, and industrial engineeringstudies General formulas for estimation and hypothesis testing,presented in a unified and simplified manner Guidelines for evaluating the power and efficiency of designsthat are not perfectly balanced New developments in the design of fractional factorials withnon-prime numbers of levels in mixed-level fractionalfactorials Detailed coverage on the construction of plans and therelationship among categories of designs Thorough coverage of balanced, lattice, cyclic, and alphadesigns Strategies for sequences of fractional factorials Data sets and SAS® code on a companion web site An ideal handbook for the investigator planning a researchprogram, the text comes complete with detailed plans of experimentsand alternative approaches for added flexibility.

Selection and Breeding Programs in Aquaculture

Selection and Breeding Programs in Aquaculture PDF Author: Trygve Gjedrem
Publisher: Springer Science & Business Media
ISBN: 1402033427
Category : Science
Languages : en
Pages : 364

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Book Description
Although aquaculture as a biological production system has a long history, systematic and efficient breeding programs to improve economically important traits in the farmed species have rarely been utilized until recently, except for salmonid species. This means that the majority of aquaculture production (more than 90 %) is based on genetically unimproved stocks. In farm animals the situation is vastly different: practically no terrestrial farm production is based on genetically unimproved and undomesticated populations. This difference between aquaculture and livestock production is in spite of the fact that the basic elements of breeding theory are the same for fish and shellfish as for farm animals. One possible reason for the difference is the complexity of reproductive biology in aquatic species, and special consideration needs to be taken in the design of breeding plans for these species. Since 1971 AKVAFORSK, has continuously carried out large scale breeding research projects with salmonid species, and during the latest 15 years also with a number of fresh water and marine species. Results from this work and the results from other institutions around the world have brought forward considerable knowledge, which make the development of efficient breeding programs feasible. The genetic improvement obtained in selection programs for fish and shellfish is remarkable and much higher than what has been achieved in terrestrial farm animals.