Idioma: Inglés
Publicado por John Wiley and Sons Ltd, 2000
ISBN 10: 0471856312 ISBN 13: 9780471856313
Librería: WeBuyBooks, Rossendale, LANCS, Reino Unido
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Añadir al carritoCondición: Very Good. Most items will be dispatched the same or the next working day. A copy that has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
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Librería: Romtrade Corp., STERLING HEIGHTS, MI, Estados Unidos de America
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Añadir al carritoCondición: 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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Añadir al carritoCondición: New. pp. xiii + 333 1st Edition.
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Añadir al carritoCondición: New. pp. xiii + 333 Illus.
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Añadir al carritoCondición: New. pp. xiii + 333.
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Idioma: Inglés
Publicado por John Wiley & Sons Inc, New York, 2000
ISBN 10: 0471856312 ISBN 13: 9780471856313
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
Original o primera edición
EUR 208,60
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Añadir al carritoHardcover. Condición: 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Idioma: Inglés
Publicado por John Wiley & Sons Inc, New York, 2000
ISBN 10: 0471856312 ISBN 13: 9780471856313
Librería: CitiRetail, Stevenage, Reino Unido
Original o primera edición
EUR 189,74
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Idioma: Inglés
Publicado por John Wiley and Sons Ltd, 2000
ISBN 10: 0471856312 ISBN 13: 9780471856313
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Original o primera edición
EUR 225,10
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Añadir al carritoCondición: 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. . . . .
Librería: moluna, Greven, Alemania
EUR 191,36
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Añadir al carritoGebunden. Condición: 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.
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 231,26
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Añadir al carritoHardcover. Condición: Like New. Like New. book.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 261,31
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Añadir al carritoHardcover. Condición: Brand New. 1st edition. 333 pages. 9.00x6.25x0.75 inches. In Stock.
Idioma: Inglés
Publicado por John Wiley and Sons Ltd, 2000
ISBN 10: 0471856312 ISBN 13: 9780471856313
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 277,48
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: 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.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 236,09
Cantidad disponible: 2 disponibles
Añadir al carritoBuch. Condición: 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).