Langue: anglais
Edité par Springer-Verlag, New York, 1984
ISBN 10 : 0387909680 ISBN 13 : 9780387909684
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Ajouter au panierTrade Paperback. Etat : Good. Etat de la jaquette : No Dust Jacket. First Edition. An ex-library copy in original yellow paper covers. The usual ex-libris markings. The binding is sound, the text is clean/unmarked, and there is little cover wear. Book.
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Ajouter au panierEtat : Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
Langue: anglais
Edité par New York, NY, U.S.A. Springer Verlag, 1984
ISBN 10 : 0387909680 ISBN 13 : 9780387909684
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Ajouter au panierSoftcover. Etat : 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.
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Ajouter au panierEtat : New. In.
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Ajouter au panierPaperback. Etat : Brand New. 136 pages. 9.25x6.10x0.31 inches. In Stock.
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Ajouter au panierTaschenbuch. Etat : Neu. Functional Relations, Random Coefficients, and Nonlinear Regression with Application to Kinetic Data | S. Johansen | Taschenbuch | Lecture Notes in Statistics | viii | Englisch | 1984 | Springer | EAN 9780387909684 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Ajouter au panierTaschenbuch. Etat : 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.
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Ajouter au panierEtat : New. pp. 136.
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Ajouter au panierEtat : New. pp. 136 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.
Langue: anglais
Edité par Springer New York Apr 1984, 1984
ISBN 10 : 0387909680 ISBN 13 : 9780387909684
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Ajouter au panierTaschenbuch. Etat : 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.
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Ajouter au panierKartoniert / Broschiert. Etat : 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 .
Langue: anglais
Edité par Springer New York, Springer New York Apr 1984, 1984
ISBN 10 : 0387909680 ISBN 13 : 9780387909684
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Ajouter au panierTaschenbuch. Etat : 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 GmbH, Tiergartenstr. 17, 69121 Heidelberg 136 pp. Englisch.