Parameter Estimation for Scientists and Engineers Hardback - 2007
by Adriaan Van Den Bos
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From the publisher
From the rear cover
Written for applied scientists and engineers, this book covers the most important aspects of estimating parameters of expectation models of statistical observations. The author demonstrates that statistical parameter estimation has much more to offer than least squares estimation alone, and explains how a priori knowledge may be used more fully to improve the precision of estimating. Parameter Estimation for Scientists and Engineers presents:
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An explanation of statistical parametric models of observations, and why they are used
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A description of distributions of observations including exponential families of distributions
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Fisher information and the Cramr-Rao lower bound, and how they are used to judge the quality of parameter estimators and experimental designs
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The maximum likelihood method and the least squares method for estimating parameters of expectation models
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A discussion of model hypothesis testing
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Numerical methods suitable for the parameter estimation problems dealt with in this book, as well as an exploration of how to use these methods in practice
Complete with sixty-two examples, eighty-nine problems and solutions, and thirty-four figures, Parameter Estimation for Scientists and Engineers is an invaluable reference for professionals and an ideal text for advanced undergraduate and graduate-level students in all disciplines of engineering and applied science.
Details
- Title Parameter Estimation for Scientists and Engineers
- Author Adriaan Van Den Bos
- Binding Hardback
- Edition Illustrated.
- Pages 288
- Volumes 1
- Language ENG
- Publisher Wiley-Interscience, Hoboken, NJ
- Publication date 2007-06-01
- Illustrated Yes
- Features Bibliography, Illustrated, Index, Table of Contents
- ISBN 9780470147818 / 0470147814
- Weight 1.33 lbs (0.60 kg)
- Dimensions 9.24 x 6.62 x 0.92 in (23.47 x 16.81 x 2.34 cm)
- Category Technology & Industrial Arts
- Library of Congress subjects Engineering - Statistical methods, Parameter estimation
- Library of Congress Catalogue Number 2007019912
- Dewey Decimal Code 620.001
Media reviews
Citations
- Scitech Book News, 09/01/2007, Page 139
About the author
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