[EAN: 9780387909684], New book, [PU: Springer New York Apr 1984], COVARIANCEMATRIX; ESTIMATOR; LINEARESMODELL; REGRESSION(MATH.); VARIANCE; LINEARREGRESSION, This item is printed on deman… Mehr…
[EAN: 9780387909684], New book, [PU: Springer New York Apr 1984], COVARIANCEMATRIX; ESTIMATOR; LINEARESMODELL; REGRESSION(MATH.); VARIANCE; LINEARREGRESSION, 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, Books<
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[EAN: 9780387909684], [PU: NY U.S.A. Springer Verlag New York], COEFFICIENTS; LINEARES MODELL; REGRESSION (MATH.), Gebraucht - Akzeptabel Zustand: Zufriedenstellend, VIII, 126 pp. 10 figs… Mehr…
[EAN: 9780387909684], [PU: NY U.S.A. Springer Verlag New York], COEFFICIENTS; LINEARES MODELL; REGRESSION (MATH.), 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. Englisch, Books<
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S. Johansen: Functional Relations, Random Coefficients, and Nonlinear Regression with Application to Kinetic Data Lecture Notes in Statistics 22 - Taschenbuch
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[EAN: 9780387909684], New book, [PU: Springer New York Apr 1984], COVARIANCEMATRIX; ESTIMATOR; LINEARESMODELL; REGRESSION(MATH.); VARIANCE; LINEARREGRESSION, This item is printed on deman… Mehr…
[EAN: 9780387909684], New book, [PU: Springer New York Apr 1984], COVARIANCEMATRIX; ESTIMATOR; LINEARESMODELL; REGRESSION(MATH.); VARIANCE; LINEARREGRESSION, 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, Books<
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[EAN: 9780387909684], Neubuch, [PU: Springer New York], COVARIANCEMATRIX; ESTIMATOR; LINEARESMODELL; REGRESSION(MATH.); VARIANCE; LINEARREGRESSION, 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. 136 pp. Englisch, Books<
[EAN: 9780387909684], [PU: NY U.S.A. Springer Verlag New York], COEFFICIENTS; LINEARES MODELL; REGRESSION (MATH.), Gebraucht - Akzeptabel Zustand: Zufriedenstellend, VIII, 126 pp. 10 figs… Mehr…
[EAN: 9780387909684], [PU: NY U.S.A. Springer Verlag New York], COEFFICIENTS; LINEARES MODELL; REGRESSION (MATH.), 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. Englisch, Books<
Softcover reprint of the original 1st ed. 1984 Kartoniert / Broschiert Wahrscheinlichkeitsrechnung und Statistik, Angewandte Mathematik, Covariancematrix; Estimator; LinearesModell; Reg… Mehr…
Softcover reprint of the original 1st ed. 1984 Kartoniert / Broschiert Wahrscheinlichkeitsrechnung und Statistik, Angewandte Mathematik, Covariancematrix; Estimator; LinearesModell; Regression(Math.); Variance; linearregression, mit Schutzumschlag 11, [PU:Springer New York; Springer US, New York, N.Y.]<
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S. Johansen: Functional Relations, Random Coefficients, and Nonlinear Regression with Application to Kinetic Data Lecture Notes in Statistics 22 - Taschenbuch
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Detailangaben zum Buch - Functional Relations, Random Coefficients, and Nonlinear Regression with Application to Kinetic Data
EAN (ISBN-13): 9780387909684 ISBN (ISBN-10): 0387909680 Taschenbuch Erscheinungsjahr: 1984 Herausgeber: Springer-Verlag New York Inc.
Buch in der Datenbank seit 2007-05-17T06:57:42+02:00 (Vienna) Detailseite zuletzt geändert am 2024-01-09T16:25:51+01:00 (Vienna) ISBN/EAN: 9780387909684
ISBN - alternative Schreibweisen: 0-387-90968-0, 978-0-387-90968-4 Alternative Schreibweisen und verwandte Suchbegriffe: Autor des Buches: johansen, rao, sören Titel des Buches: nonlinear, application, relations, functional kinetics, kinetic
Daten vom Verlag:
Autor/in: S. Johansen Titel: Lecture Notes in Statistics; Functional Relations, Random Coefficients, and Nonlinear Regression with Application to Kinetic Data Verlag: Springer; Springer US 126 Seiten Erscheinungsjahr: 1984-04-10 New York; NY; US Sprache: Englisch 106,99 € (DE) 109,99 € (AT) 118,00 CHF (CH) Available VIII, 126 p.
BC; Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; Coefficients; Covariance matrix; Estimator; Lineares Modell; Regression (Math.); Variance; linear regression; Probability Theory; Applications of Mathematics; Stochastik; Angewandte Mathematik; EA
List of Contents.- 1. An example from physiology.- 1.1 The experiment and the data.- 1.2 The model.- 2. The general linear model.- 2.1 Independent observations with the same variance.- 2.2 Correlated observations with known covariance matrix.- 2.3 Correlated observations with unknown covariance matrix.- 2.4 The general linear model with estimated weights.- 3. The linear functional relation.- 3.1 Introduction.- 3.2 The model and the estimates.- 3.3 Comments on the model.- 3.4 Asymptotic theory.- 3.5 Asymptotic properties of the estimators.- 3.6 Asymptotic properties of the test statistics.- 3.7 Comments on the asymptotic results.- 4. Random coefficient models.- 4.1 Introduction.- 4.2 The balanced case.- 4.3 Test for the specification of the model.- 4.4 Test of hypotheses within the model.- 4.5 An analysis of the unbalanced case.- 5. Non linear regression.- 5.1 The model.- 5.2 Estimation.- 5.3 Hypothesis testing.- 5.4 Curvature.- 6. Some examples of non linear regression problems.- 7. References.- 8. Index.- Examples.- 9. Appendix.
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