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

Name: Functional Relations, Random Coefficients, and Nonlinear Regression with Application to Kinetic Data
Brand: Springer-Verlag New York Inc.
SKU: 9780387909684
Price: 550.51 RON
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Autor: Soren Johansen

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Editura: Springer-Verlag New York Inc.

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These notes on regression give an introduction to some of the techniques that I have found useful wh...

Informații despre carte

Autor

Soren Johansen

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2012

Pagini

126

EAN

9780387909684

ISBN

0387909680

Enbook ID

06793752

Editura

Springer-Verlag New York Inc.

Greutate

219

Dimensiuni

155 x 235 x 10

Descriere completă

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

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