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Parameter Estimation and Hypothesis Testing in Linear Models - Karl-Rudolf Koch

Parameter Estimation and Hypothesis Testing in Linear Models

Hardcover Published: 1st April 1999
ISBN: 9783540652571
Number Of Pages: 334

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This textbook deals with the estimation of unknown parameters, the testing of hypotheses and the estimation of confidence intervals in linear models. The reader will find 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. To make the book self-contained most of the necessary theorems of vector and matrix algebra and the probability distributions of test statistics are derived. Students of geodesy as well as of the natural sciences and engineering will find the emphasis on the geodetic application of statistical models extremely useful.

Vector and Matrix Algebra
Probability Theory
Parameter Estimation in Linear Models
Hypothesis Testing, Interval Estimation and Test for Outliers
Table of Contents provided by Publisher. All Rights Reserved.

ISBN: 9783540652571
ISBN-10: 3540652574
Audience: General
Format: Hardcover
Language: English
Number Of Pages: 334
Published: 1st April 1999
Publisher: Springer-Verlag Berlin and Heidelberg Gmbh & Co. Kg
Country of Publication: DE
Dimensions (cm): 24.13 x 16.51  x 1.91
Weight (kg): 0.68
Edition Number: 2
Edition Type: Revised