Linear statistical inference and its applications / C. Radhakrishna Rao

Auteur: Rao, Calyampudi Radhakrishna (1920-) - AuteurType de document: MonographieCollection: Wiley series in probability and mathematical statistics, Probability and mathematical statisticsLangue: anglaisPays: Etats UnisÉditeur: New York : John Wiley, 1973Edition: 2nd ed.Description: 1 vol. (625 p.) ; 24 cm ISBN: 0471708232 ; rel. Résumé: From the author's preface: "Some of the important additions are different types of generalized inverses, concepts of statistics and subfields, MINQUE theory of variance components, the law of iterated logarithms and sequential tests with power one, analysis of dispersion with structural parameters, discrimination between composite hypotheses, growth models, theorems on characteristics functions, etc. Special mention may be made of the new material on estimation of parameters in a linear model when the observations have a possibly singular covariance matrix.'' .Bibliographie: Bibliogr. à la fin de chaque chap. Index. Sujets MSC: 62-02 Statistics -- Research exposition (monographs, survey articles)
62J05 Statistics -- Linear inference, regression -- Linear regression
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Bibliogr. à la fin de chaque chap. Index

From the author's preface: "Some of the important additions are different types of generalized inverses, concepts of statistics and subfields, MINQUE theory of variance components, the law of iterated logarithms and sequential tests with power one, analysis of dispersion with structural parameters, discrimination between composite hypotheses, growth models, theorems on characteristics functions, etc. Special mention may be made of the new material on estimation of parameters in a linear model when the observations have a possibly singular covariance matrix.''

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