9780471856313 - Optimization Heuristics in Econometrics: Applications of Threshold Accepting di Winker, Peter (28 risultati)

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hardcover. Condizione: New. In shrink wrap. Looks like an interesting title!

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Condizione: New. pp. xiii + 333 1st Edition.

Condizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

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Condizione: New. pp. xiii + 333 Illus.

Condizione: New. pp. xiii + 333.

HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

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Condizione: New. 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. . . . .

Condizione: New. For statisticians and econometricians with a general interest in new optimization paradigms, Winker.introduces optimization heuristics for application. (Reference Research Book News, Vol. 16, No. 3, August 2001) .a very fine textbook . does an exc.

Hardcover. Condizione: Like New. Like New. book.

Hardcover. Condizione: Brand New. 1st edition. 333 pages. 9.00x6.25x0.75 inches. In Stock.

Condizione: New. 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.

Buch. Condizione: Neu. Neuware - Moderne heuristische Optimierungsverfahren in der Technik, der Operationsforschung, der Statistik und Ökonometrie werden in diesem neuen Band behandelt. Der Autor vermittelt alle theoretischen Grundlagen zur praktischen Anwendung der beschriebenen Verfahren. Spezielle Einsatzgebiete der Methoden werden durchgängig angegeben und erläutert. (12/00).

Hardcover. Condizione: New. Brand New ! Fast Delivery "International Edition " and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 4-6 Working days .and we do have flat rate for up to 2LB. Extra shipping charges will be requested This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.

Hardcover. Condizione: new. Hardcover. 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. 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Condizione: new. Hardcover. 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. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Condizione: Brand New. 1st edition. 333 pages. 9.00x6.25x0.75 inches. In Stock. This item is printed on demand.

Hardcover. Condizione: new. Hardcover. 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. 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. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.