ISBN: 9789401081474 - the population-sample decomposition method: a distribution-free estimation technique for minimum distance parameters: 19 (10 risultati)

Condizione: New. In English.

Condizione: New. pp. 256.

Paperback. Condizione: Brand New. 256 pages. 10.00x7.01x0.58 inches. In Stock.

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - I. Introduction to the Population-Sample Decomposition Approach.- I.1 The linear statistical model.- I.2 Minimum distance parameters subject to minimal model assumptions.- II. The Estimation of Linear Relations; The Sample Part of PSD.- II.1 Method of moments and asymptotic distribution theory.- II.2 Asymptotic estimation of covariance functions.- III. Principal Relations.- III.1 Basic formulation of the principal relations.- III.2 The distance matrix Q.- III.3 Simultaneous equations systems.- III.4 Seemingly unrelated regressions.- III.5 Restricted seemingly unrelated regressions.- III.6 Canonical correlation analysis.- IV. Principal Factors.- IV.1 Basic formulation of principal factors.- IV.2 Principal relations versus principal factors.- IV. 3 Principal components analysis.- V. Goodness-of-Fit Measures.- V. 1 Coefficients of multiple correlation and angles between random vectors.- V.2 Coefficients of linear association for principal relations and principal factors.- V.3 Coefficients of linear association for simultaneous equations systems.- V.4 Coefficients of linear association for seemingly unrelated regressions.- VI. Review.- VI.1 A schematic representation of the parameters.- VI.2 List of notation and summary of results.- VII. Computational Aspects of the Population-Sample Decomposition.- VII.1 Fourth-order central moments.- VII.2 Pre- and post-multiplication of V by the gradient matrix.- VII.3 The PSD method in practice.- Preliminaries on matrix algebra.- References.- Author Index.…

Condizione: new. Questo è un articolo print on demand.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -I. Introduction to the Population-Sample Decomposition Approach.- I.1 The linear statistical model.- I.2 Minimum distance parameters subject to minimal model assumptions.- II. The Estimation of Linear Relations; The Sample Part of PSD.- II.1 Method of moments and asymptotic distribution theory.- II.2 Asymptotic estimation of covariance functions.- III. Principal Relations.- III.1 Basic formulation of the principal relations.- III.2 The distance matrix Q.- III.3 Simultaneous equations systems.- III.4 Seemingly unrelated regressions.- III.5 Restricted seemingly unrelated regressions.- III.6 Canonical correlation analysis.- IV. Principal Factors.- IV.1 Basic formulation of principal factors.- IV.2 Principal relations versus principal factors.- IV. 3 Principal components analysis.- V. Goodness-of-Fit Measures.- V. 1 Coefficients of multiple correlation and angles between random vectors.- V.2 Coefficients of linear association for principal relations and principal factors.- V.3 Coefficients of linear association for simultaneous equations systems.- V.4 Coefficients of linear association for seemingly unrelated regressions.- VI. Review.- VI.1 A schematic representation of the parameters.- VI.2 List of notation and summary of results.- VII. Computational Aspects of the Population-Sample Decomposition.- VII.1 Fourth-order central moments.- VII.2 Pre- and post-multiplication of V by the gradient matrix.- VII.3 The PSD method in practice.- Preliminaries on matrix algebra.- References.- Author Index. 256 pp. Englisch.…

Condizione: New. Print on Demand pp. 256 66:B&W 7 x 10 in or 254 x 178 mm Perfect Bound on White w/Gloss Lam.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. I. Introduction to the Population-Sample Decomposition Approach.- I.1 The linear statistical model.- I.2 Minimum distance parameters subject to minimal model assumptions.- II. The Estimation of Linear Relations The Sample Part of PSD.- II.1 Method of momen.…

Condizione: New. PRINT ON DEMAND pp. 256.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -I. Introduction to the Population-Sample Decomposition Approach.- I.1 The linear statistical model.- I.2 Minimum distance parameters subject to minimal model assumptions.- II. The Estimation of Linear Relations; The Sample Part of PSD.- II.1 Method of moments and asymptotic distribution theory.- II.2 Asymptotic estimation of covariance functions.- III. Principal Relations.- III.1 Basic formulation of the principal relations.- III.2 The distance matrix Q.- III.3 Simultaneous equations systems.- III.4 Seemingly unrelated regressions.- III.5 Restricted seemingly unrelated regressions.- III.6 Canonical correlation analysis.- IV. Principal Factors.- IV.1 Basic formulation of principal factors.- IV.2 Principal relations versus principal factors.- IV. 3 Principal components analysis.- V. Goodness-of-Fit Measures.- V. 1 Coefficients of multiple correlation and angles between random vectors.- V.2 Coefficients of linear association for principal relations and principal factors.- V.3 Coefficients of linear association for simultaneous equations systems.- V.4 Coefficients of linear association for seemingly unrelated regressions.- VI. Review.- VI.1 A schematic representation of the parameters.- VI.2 List of notation and summary of results.- VII. Computational Aspects of the Population-Sample Decomposition.- VII.1 Fourth-order central moments.- VII.2 Pre- and post-multiplication of V by the gradient matrix.- VII.3 The PSD method in practice.- Preliminaries on matrix algebra.- References.- Author Index.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 256 pp. Englisch.…