Nonlinear Estimation is popular PDF and ePub book, written by Gavin J.S. Ross in 2012-12-06, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Nonlinear Estimation can be Read Online from any device for your convenience.
Nonlinear Estimation Book PDF Summary
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.
Detail Book of Nonlinear Estimation PDF
- Author : Gavin J.S. Ross
- Release : 06 December 2012
- Publisher : Springer Science & Business Media
- ISBN : 9781461234128
- Genre : Mathematics
- Total Page : 198 pages
- Language : English
- PDF File Size : 7,7 Mb
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