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AuthorKoch, Karl-Rudolf. author
TitleParameter Estimation and Hypothesis Testing in Linear Models [electronic resource] / by Karl-Rudolf Koch
ImprintBerlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 1999
Edition Second, updated and enlarged Edition
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Descript XX, 334 p. online resource


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 thereยญ 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 Inยญ ference with Geodetic Applications, Springer-Verlag, Berlin Heidelberg New York, 1990. Smaller additions and deletions have been incorporated, to imยญ 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


1 Vector and Matrix Algebra -- 2 Probability Theory -- 3 Parameter Estimation in Linear Models -- 4 Hypothesis Testing, Interval Estimation and Test for Outliers -- References

Mathematics Geophysics Probabilities Statistics Applied mathematics Engineering mathematics Mathematics Probability Theory and Stochastic Processes Geophysics/Geodesy Appl.Mathematics/Computational Methods of Engineering Statistics for Engineering Physics Computer Science Chemistry and Earth Sciences


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