Parameter Estimation and Hypothesis Testing in Linear Models (Paperback, Softcover reprint of hardcover 2nd ed. 1999)

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.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Release date:	December 2010
First published:	1999
Authors:	Karl-Rudolf Koch
Dimensions:	235 x 155 x 18mm (L x W x T)
Format:	Paperback
Pages:	334
Edition:	Softcover reprint of hardcover 2nd ed. 1999
ISBN-13:	978-3-642-08461-4
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Science & Mathematics > Physics > Applied physics & special topics > Geophysics
LSN:	3-642-08461-3
Barcode:	9783642084614

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