Parameter Estimation and Hypothesis Testing in Linear Models

Koch, Karl-Rudolf

ISBN 10: 3540652574 / ISBN 13: 9783540652571

Published by Springer, 2017

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*FREE domestic shipping until Tuesday, May 20* 333 pp., hardcover, new, THIS IS THE 2017 PRINTING. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country. Seller Inventory # ZB1317154

Bibliographic Details

Title: Parameter Estimation and Hypothesis Testing ...

Publisher: Springer

Publication Date: 2017

Binding: Hardcover

Condition: New

Edition: 2nd Edition

About this title

Synopsis:

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.