Optimization Heuristics in Econometrics: Applications of Threshold Accepting - Rilegato

Winker, Peter

Rilegato

ISBN 10: 0471856312 ISBN 13: 9780471856313

Casa editrice: John Wiley & Sons Inc, 2000

Riassunto

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.

Su questo libro

Informazioni sull?autore

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

Dalla quarta di copertina

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.
* 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
* 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 tiime 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 in their
work. Postgraduate students of statistics and econometrics will find the
book provides a good introduction to optimization heuristic methods.

Dettagli dell?edizione

• Editore: John Wiley & Sons Inc
• Data di pubblicazione: 2000
• Lingua: Inglese
• ISBN 10: 0471856312
• ISBN 13: 9780471856313
• Rilegatura: Copertina rigida
• Numero di pagine: 333
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile