The Linear Hypothesis PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download The Linear Hypothesis PDF full book. Access full book title The Linear Hypothesis by George Arthur Frederick Seber. Download full books in PDF and EPUB format.
Author: George Arthur Frederick Seber
Publisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 132
Get Book Here
Book Description
Author: George Arthur Frederick Seber
Publisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 132
Get Book Here
Book Description
Author: George Arthur Frederick Seber
Publisher:
ISBN:
Category :
Languages : en
Pages : 115
Get Book Here
Book Description
Author: Karl-Rudolf Koch
Publisher: Springer Science & Business Media
ISBN: 3662039761
Category : Mathematics
Languages : en
Pages : 344
Get Book Here
Book Description
A treatment of estimating unknown parameters, testing hypotheses and estimating confidence intervals in linear models. Readers will find here presentations of the Gauss-Markoff model, the analysis of variance, the multivariate model, the model with unknown variance and covariance components and the regression model as well as the mixed model for estimating random parameters. A chapter on the robust estimation of parameters and several examples have been added to this second edition. The necessary theorems of vector and matrix algebra and the probability distributions of test statistics are derived so as to make this book self-contained. Geodesy students as well as those in the natural sciences and engineering will find the emphasis on the geodetic application of statistical models extremely useful.
Author: George Seber
Publisher: Springer
ISBN: 3319219308
Category : Mathematics
Languages : en
Pages : 208
Get Book Here
Book Description
This book provides a concise and integrated overview of hypothesis testing in four important subject areas, namely linear and nonlinear models, multivariate analysis, and large sample theory. The approach used is a geometrical one based on the concept of projections and their associated idempotent matrices, thus largely avoiding the need to involvematrix ranks. It is shown that all the hypotheses encountered are either linear or asymptotically linear, and that all the underlying models used are either exactly or asymptotically linear normal models. This equivalence can be used, for example, to extend the concept of orthogonality to other models in the analysis of variance, and to show that the asymptotic equivalence of the likelihood ratio, Wald, and Score (Lagrange Multiplier) hypothesis tests generally applies.
Author: Chester Hayden McCall
Publisher:
ISBN:
Category :
Languages : en
Pages : 280
Get Book Here
Book Description
Author: George Seber
Publisher:
ISBN: 9783319219318
Category : Linear models (Statistics)
Languages : en
Pages : 208
Get Book Here
Book Description
This book provides a concise and integrated overview of hypothesis testing in four important subject areas, namely linear and nonlinear models, multivariate analysis, and large sample theory. The approach used is a geometrical one based on the concept of projections and their associated idempotent matrices, thus largely avoiding the need to involve matrix ranks. It is shown that all the hypotheses encountered are either linear or asymptotically linear, and that all the underlying models used are either exactly or asymptotically linear normal models. This equivalence can be used, for example, to extend the concept of orthogonality in the analysis of variance to other models, and to show that the asymptotic equivalence of the likelihood ratio, Wald, and Score (Lagrange Multiplier) hypothesis tests generally applies.
Author: Osmer Sidney Carpenter
Publisher:
ISBN:
Category : Analysis of variance
Languages : en
Pages : 114
Get Book Here
Book Description
Author: Robert E. Odeh
Publisher: CRC Press
ISBN: 1000104710
Category : Mathematics
Languages : en
Pages : 215
Get Book Here
Book Description
A guide to testing statistical hypotheses for readers familiar with the Neyman-Pearson theory of hypothesis testing including the notion of power, the general linear hypothesis (multiple regression) problem, and the special case of analysis of variance. The second edition (date of first not mentione
Author: George Arthur Frederick Seber
Publisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages :
Get Book Here
Book Description
Author: Gordon Fisher
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
Get Book Here
Book Description
