Global and combinatorial optimization heuristics are widely used in different areas ranging from engineering to operational research. This introduction to the fast growing field of optimization heuristics offers the knowledge to use the techniques in a number of different application areas. Series: Wiley Series in Probability & Statistics: Applied Probability & Statistics Section. Num Pages: 358 pages, illustrations. BIC Classification: KCH; PBT; PBU. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 241 x 164 x 25. Weight in Grams: 672. . 2000. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.

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Bibliographic Details

Title: Optimization Heuristics in Econometrics and Statistics
Publisher: John Wiley and Sons Ltd
Publication Date: 2001
Language: English
ISBN 10: 0471856312
ISBN 13: 9780471856313
Binding: Hardcover
Condition: New

About this title

Synopsis

Many problems in statistics and econometrics offer themselves naturally to the use of optimization heuristics. Standard methods applied to highly complex problems often produce approximate results, of unknown quality, based on heavy assumptions. Optimization heuristic methods provide powerful results to many complex problems, combined with relatively simple implementation. The techniques used in optimization heurisitics can be applied to problems encountered in econometrics, statistics and operations research.
* Offers a self-contained introduction to optimization heuristics in econometrics and statistics
* Features many examples of optimization heuristic methods applied to real problems
* Includes detailed coverage of the threshold accepting heuristic methods applied to real problems
* Provides suggestions for further reading
Split into three parts, the book opens with a general introduction to optimization in statistics and econometrics, followed by detailed discussion of a relatively new and very powerful optimization heuristic, threshold accepting. The final part consists of many applications of the methods described earlier, encompassing experimental design, model selection, aggregation of time series, and censored quantile regression models.
Those researching and working in econometrics, statistics and operations research are given the tools to apply optimization heuristic methods to real problems in their work. Postgraduate students of statistics and econometrics will find the book provides a good introduction to optimization heuristic methods.

About the Author

Peter Winker is the author of Optimization Heuristics in Econometrics : Applications of Threshold Accepting, published by Wiley.

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