ISBN: 9780387909684 - functional relations, random coefficients, and nonlinear regression with application to kinetic data (lecture notes in statistics): 22 (13 risultati)

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Softcover. Condizione: Ausreichend. Gebraucht - Akzeptabel Zustand: Zufriedenstellend, VIII, 126 pp. 10 figs. About this book This book provides a format for the informal publication of monographs, conference proceedings, case studies, and similar material or empirical importance. The timeliness of a manuscript is more important than its form which may be unfinished or tentative. Thus, in some instances, proofs may be merely outlined and results presented which have recently been or will later be published elsewhere. If possible, a subject index should be included.…

Functional Relations, Random Coefficients, and Nonlinear Regression With Application to Kinetic Data
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Functional Relations, Random Coefficients, and Nonlinear Regression With Application to Kinetic Data
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Functional Relations, Random Coefficients, and Nonlinear Regression with Application to Kinetic Data
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Functional Relations, Random Coefficients, and Nonlinear Regression with Application to Kinetic Data
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - These notes on regression give an introduction to some of the techniques that I have found useful when working with various data sets in collaboration with Dr. S. Keiding (Copenhagen) and Dr. J.W.L. Robinson (Lausanne). The notes are based on some lectures given at the Institute of Mathematical Statistics, University of Copenhigen, 1978-81, for graduate students, and assumes a familiarity with statistical theory corresponding to the book by C.R. Rao: 'Linear Statistical Inference and its Applications'. Wiley, New York (1973) . The mathematical tools needed for the algebraic treatment of the models are some knowledge of finite dimensional vector spaces with an inner product and the notion of orthogonal projection. For the analytic treatment I need characteristic functions and weak convergence as the main tools. The most important statistical concepts are the general linear model for Gaussian variables and the general methods of maximum likelihood estimation as well as the likelihood ratio test. All these topics are presented in the above mentioned book by Rao and the reader is referred to that for details. For convenience a short appendix is added where the fundamental concepts from linear algebra are discussed.…

Functional Relations, Random Coefficients, and Nonlinear Regression With Application to Kinetic Data
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Functional Relations, Random Coefficients, and Nonlinear Regression with Application to Kinetic Data
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -These notes on regression give an introduction to some of the techniques that I have found useful when working with various data sets in collaboration with Dr. S. Keiding (Copenhagen) and Dr. J.W.L. Robinson (Lausanne). The notes are based on some lectures given at the Institute of Mathematical Statistics, University of Copenhigen, 1978-81, for graduate students, and assumes a familiarity with statistical theory corresponding to the book by C.R. Rao: 'Linear Statistical Inference and its Applications'. Wiley, New York (1973) . The mathematical tools needed for the algebraic treatment of the models are some knowledge of finite dimensional vector spaces with an inner product and the notion of orthogonal projection. For the analytic treatment I need characteristic functions and weak convergence as the main tools. The most important statistical concepts are the general linear model for Gaussian variables and the general methods of maximum likelihood estimation as well as the likelihood ratio test. All these topics are presented in the above mentioned book by Rao and the reader is referred to that for details. For convenience a short appendix is added where the fundamental concepts from linear algebra are discussed. 136 pp. Englisch. …

Functional Relations, Random Coefficients, and Nonlinear Regression with Application to Kinetic Data
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Kartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. These notes on regression give an introduction to some of the techniques that I have found useful when working with various data sets in collaboration with Dr. S. Keiding (Copenhagen) and Dr. J.W.L. Robinson (Lausanne). The notes are based on some lectures . …

Functional Relations, Random Coefficients, and Nonlinear Regression with Application to Kinetic Data
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Functional Relations, Random Coefficients, and Nonlinear Regression with Application to Kinetic Data
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -These notes on regression give an introduction to some of the techniques that I have found useful when working with various data sets in collaboration with Dr. S. Keiding (Copenhagen) and Dr. J.W.L. Robinson (Lausanne). The notes are based on some lectures given at the Institute of Mathematical Statistics, University of Copenhigen, 1978-81, for graduate students, and assumes a familiarity with statistical theory corresponding to the book by C.R. Rao: 'Linear Statistical Inference and its Applications'. Wiley, New York (1973) . The mathematical tools needed for the algebraic treatment of the models are some knowledge of finite dimensional vector spaces with an inner product and the notion of orthogonal projection. For the analytic treatment I need characteristic functions and weak convergence as the main tools. The most important statistical concepts are the general linear model for Gaussian variables and the general methods of maximum likelihood estimation as well as the likelihood ratio test. All these topics are presented in the above mentioned book by Rao and the reader is referred to that for details. For convenience a short appendix is added where the fundamental concepts from linear algebra are discussed.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 136 pp. Englisch. …

Functional Relations, Random Coefficients, and Nonlinear Regression with Application to Kinetic Data
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