<p>1. 1. The general linear model All econometric research is based on a set of numerical data relating to certain economic quantities, and makes inferΒ ences from the data about the ways in which these quantiΒ ties are related (Malinvaud 1970, p. 3). The linear relation is frequently encountered in
Parameter Estimation and Hypothesis Testing in Linear Models
β Scribed by Prof. Dr.-Ing., Dr.-Ing. E. h. Karl-Rudolf Koch (auth.)
- Publisher
- Springer-Verlag Berlin Heidelberg
- Year
- 1999
- Tongue
- English
- Leaves
- 343
- Edition
- 2
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
The necessity to publish the second edition of this book arose when its third German edition had just been published. This second English edition is thereΒ fore a translation of the third German edition of Parameter Estimation and Hypothesis Testing in Linear Models, published in 1997. It differs from the first English edition by the addition of a new chapter on robust estimation of parameters and the deletion of the section on discriminant analysis, which has been more completely dealt with by the author in the book Bayesian InΒ ference with Geodetic Applications, Springer-Verlag, Berlin Heidelberg New York, 1990. Smaller additions and deletions have been incorporated, to imΒ prove the text, to point out new developments or to eliminate errors which became apparent. A few examples have been also added. I thank Springer-Verlag for publishing this second edition and for the assistance in checking the translation, although the responsibility of errors remains with the author. I also want to express my thanks to Mrs. Ingrid Wahl and to Mrs. Heidemarlen Westhiiuser who prepared the second edition. Bonn, January 1999 Karl-Rudolf Koch Preface to the First Edition This book is a translation with slight modifications and additions of the second German edition of Parameter Estimation and Hypothesis Testing in Linear Models, published in 1987.
β¦ Table of Contents
Front Matter....Pages I-XIX
Introduction....Pages 1-1
Vector and Matrix Algebra....Pages 3-73
Probability Theory....Pages 75-147
Parameter Estimation in Linear Models....Pages 149-269
Hypothesis Testing, Interval Estimation and Test for Outliers....Pages 271-309
Back Matter....Pages 311-334
β¦ Subjects
Probability Theory and Stochastic Processes; Geophysics/Geodesy; Appl.Mathematics/Computational Methods of Engineering; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
π SIMILAR VOLUMES
<p>. . ) (under the assumption that the spectral density exists). For this reason, a vast amount of periodical and monographic literature is devoted to the nonparametric statistical problem of estimating the function tJ( T) and especially that of leA) (see, for example, the books [4,21,22,26,56,77,1
<p>Experimentalists tend to revel in the complexity and multidimensionality of biological processes. Modelers, on the other hand, generally look towards parsimony as a guiding prinΒ ciple in their approach to understanding physiological systems. It is therefore not surprising that a substantial degr