Nonlinear Estimation

Name: Nonlinear Estimation
Brand: Springer-Verlag New York Inc.
SKU: 9781461280019
Price: 1147 CZK
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Autor: Gavin J.S. Ross

Jazyk:

Vazba: Brožovaná

Vydavatel: Springer-Verlag New York Inc.

Dostupnost: Skladem u dodavatele

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Non-Linear Estimation is a handbook for the practical statistician or modeller interested in fitting...

Informace o knize

Autor

Gavin J.S. Ross

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2011

Stránek

189

EAN

9781461280019

ISBN

146128001X

Enbook ID

06795531

Vydavatel

Springer-Verlag New York Inc.

Hmotnost

312

Rozměry

155 x 235 x 13

Kompletní popis

Non-Linear Estimation is a handbook for the practical statistician or modeller interested in fitting and interpreting non-linear models with the aid of a computer. A major theme of the book is the use of 'stable parameter systems'; these provide rapid convergence of optimization algorithms, more reliable dispersion matrices and confidence regions for parameters, and easier comparison of rival models. The book provides insights into why some models are difficult to fit, how to combine fits over different data sets, how to improve data collection to reduce prediction variance, and how to program particular models to handle a full range of data sets. The book combines an algebraic, a geometric and a computational approach, and is illustrated with practical examples. A final chapter shows how this approach is implemented in the author's Maximum Likelihood Program, MLP.

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Nonlinear Estimation

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