Least-squares Variance Component Estimation
Author | : AliReza Amiri-Simkooei |
Publisher | : |
Total Pages | : 228 |
Release | : 2007 |
Genre | : Geodesy |
ISBN | : |
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Author | : AliReza Amiri-Simkooei |
Publisher | : |
Total Pages | : 228 |
Release | : 2007 |
Genre | : Geodesy |
ISBN | : |
Author | : Gustavo Mansur |
Publisher | : |
Total Pages | : 0 |
Release | : 2024 |
Genre | : |
ISBN | : |
Author | : Shayle R. Searle |
Publisher | : John Wiley & Sons |
Total Pages | : 537 |
Release | : 2009-09-25 |
Genre | : Mathematics |
ISBN | : 0470317698 |
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.
Author | : Robert Donald Anderson |
Publisher | : |
Total Pages | : 308 |
Release | : 1978 |
Genre | : Analysis of variance |
ISBN | : |
Author | : James D. Malley |
Publisher | : Springer Science & Business Media |
Total Pages | : 157 |
Release | : 2012-12-06 |
Genre | : Mathematics |
ISBN | : 1461575540 |
Author | : Cheng-Hsuan Yuan |
Publisher | : |
Total Pages | : 122 |
Release | : 1977 |
Genre | : |
ISBN | : |
Author | : Calyampudi Radhakrishna Rao |
Publisher | : North Holland |
Total Pages | : 392 |
Release | : 1988 |
Genre | : Business & Economics |
ISBN | : |
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.
Author | : Deborah Lynn Reichert |
Publisher | : |
Total Pages | : 178 |
Release | : 1993 |
Genre | : |
ISBN | : |
Author | : Nor Atiqah Zulhisham |
Publisher | : |
Total Pages | : 93 |
Release | : 2013 |
Genre | : |
ISBN | : |
Author | : Peiliang Xu |
Publisher | : Springer Science & Business Media |
Total Pages | : 375 |
Release | : 2008-02-27 |
Genre | : Science |
ISBN | : 354074584X |
This volume of proceedings is a collection of refereed papers resulting from the VI Hotine-Marussi Symposium on Theoretical and Computational Geodesy. The papers cover almost every topic of geodesy, including satellite gravity modeling, geodynamics, GPS data processing, statistical estimation and prediction theory, and geodetic inverse problem theory. In addition, particular attention is paid to topics of fundamental importance in the next one or two decades in Earth Science.