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Idioma: Inglés
Publicado por John Wiley & Sons Inc, New York, 2004
ISBN 10: 0471208272 ISBN 13: 9780471208273
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Añadir al carritoHardcover. Condición: new. Hardcover. An up-to-date approach to understanding statistical inference Statistical inference is finding useful applications in numerous fields, from sociology and econometrics to biostatistics. This volume enables professionals in these and related fields to master the concepts of statistical inference under inequality constraints and to apply the theory to problems in a variety of areas. Constrained Statistical Inference: Order, Inequality, and Shape Constraints provides a unified and up-to-date treatment of the methodology. It clearly illustrates concepts with practical examples from a variety of fields, focusing on sociology, econometrics, and biostatistics. The authors also discuss a broad range of other inequality-constrained inference problems that do not fit well in the contemplated unified framework, providing a meaningful way for readers to comprehend methodological resolutions. Chapter coverage includes: Population means and isotonic regressionInequality-constrained tests on normal meansTests in general parametric modelsLikelihood and alternativesAnalysis of categorical dataInference on monotone density function, unimodal density function, shape constraints, and DMRL functionsBayesian perspectives, including Steins Paradox, shrinkage estimation, and decision theory An up-to-date approach to understanding statistical inference Statistical inference is finding useful applications in numerous fields, from sociology and econometrics to biostatistics. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Idioma: Inglés
Publicado por John Wiley & Sons Inc, New York, 2004
ISBN 10: 0471208272 ISBN 13: 9780471208273
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Añadir al carritoHardcover. Condición: new. Hardcover. An up-to-date approach to understanding statistical inference Statistical inference is finding useful applications in numerous fields, from sociology and econometrics to biostatistics. This volume enables professionals in these and related fields to master the concepts of statistical inference under inequality constraints and to apply the theory to problems in a variety of areas. Constrained Statistical Inference: Order, Inequality, and Shape Constraints provides a unified and up-to-date treatment of the methodology. It clearly illustrates concepts with practical examples from a variety of fields, focusing on sociology, econometrics, and biostatistics. The authors also discuss a broad range of other inequality-constrained inference problems that do not fit well in the contemplated unified framework, providing a meaningful way for readers to comprehend methodological resolutions. Chapter coverage includes: Population means and isotonic regressionInequality-constrained tests on normal meansTests in general parametric modelsLikelihood and alternativesAnalysis of categorical dataInference on monotone density function, unimodal density function, shape constraints, and DMRL functionsBayesian perspectives, including Steins Paradox, shrinkage estimation, and decision theory An up-to-date approach to understanding statistical inference Statistical inference is finding useful applications in numerous fields, from sociology and econometrics to biostatistics. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
EUR 214,08
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Añadir al carritoCondición: New. pp. xvii + 532 Index.
Idioma: Inglés
Publicado por John Wiley and Sons Ltd, 2004
ISBN 10: 0471208272 ISBN 13: 9780471208273
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
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Añadir al carritoCondición: New. An up-to-date approach to understanding statistical inference Statistical inference is finding useful applications in numerous fields, from sociology and econometrics to biostatistics. Series: Wiley Series in Probability and Statistics. Num Pages: 532 pages, Illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 242 x 161 x 31. Weight in Grams: 896. . 2004. 1st Edition. Hardcover. . . . .
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Añadir al carritoCondición: New. MERVYN J. SILVAPULLE, PhD, is an Associate Professor in the Department of Statistical Science at La Trobe University in Bundoora, Australia. He received his PhD in statistics from the Australian National University in 1981.PRANAB K. SEN, PhD, is a Professor.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 235,14
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Añadir al carritoHardcover. Condición: Brand New. 1st edition. 532 pages. 9.25x6.25x1.25 inches. In Stock.
Idioma: Inglés
Publicado por John Wiley and Sons Ltd, 2004
ISBN 10: 0471208272 ISBN 13: 9780471208273
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 254,65
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Añadir al carritoCondición: New. An up-to-date approach to understanding statistical inference Statistical inference is finding useful applications in numerous fields, from sociology and econometrics to biostatistics. Series: Wiley Series in Probability and Statistics. Num Pages: 532 pages, Illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 242 x 161 x 31. Weight in Grams: 896. . 2004. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 206,89
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Añadir al carritoBuch. Condición: Neu. Neuware - An up-to-date approach to understanding statistical inferenceStatistical inference is finding useful applications in numerous fields, from sociology and econometrics to biostatistics. This volume enables professionals in these and related fields to master the concepts of statistical inference under inequality constraints and to apply the theory to problems in a variety of areas.Constrained Statistical Inference: Order, Inequality, and Shape Constraints provides a unified and up-to-date treatment of the methodology. It clearly illustrates concepts with practical examples from a variety of fields, focusing on sociology, econometrics, and biostatistics.The authors also discuss a broad range of other inequality-constrained inference problems that do not fit well in the contemplated unified framework, providing a meaningful way for readers to comprehend methodological resolutions.Chapter coverage includes:Population means and isotonic regressionInequality-constrained tests on normal meansTests in general parametric modelsLikelihood and alternativesAnalysis of categorical dataInference on monotone density function, unimodal density function, shape constraints, and DMRL functionsBayesian perspectives, including Stein's Paradox, shrinkage estimation, and decision theory.
Idioma: Inglés
Publicado por John Wiley & Sons Inc, New York, 2004
ISBN 10: 0471208272 ISBN 13: 9780471208273
Librería: AussieBookSeller, Truganina, VIC, Australia
Original o primera edición
EUR 267,66
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Añadir al carritoHardcover. Condición: new. Hardcover. An up-to-date approach to understanding statistical inference Statistical inference is finding useful applications in numerous fields, from sociology and econometrics to biostatistics. This volume enables professionals in these and related fields to master the concepts of statistical inference under inequality constraints and to apply the theory to problems in a variety of areas. Constrained Statistical Inference: Order, Inequality, and Shape Constraints provides a unified and up-to-date treatment of the methodology. It clearly illustrates concepts with practical examples from a variety of fields, focusing on sociology, econometrics, and biostatistics. The authors also discuss a broad range of other inequality-constrained inference problems that do not fit well in the contemplated unified framework, providing a meaningful way for readers to comprehend methodological resolutions. Chapter coverage includes: Population means and isotonic regressionInequality-constrained tests on normal meansTests in general parametric modelsLikelihood and alternativesAnalysis of categorical dataInference on monotone density function, unimodal density function, shape constraints, and DMRL functionsBayesian perspectives, including Steins Paradox, shrinkage estimation, and decision theory An up-to-date approach to understanding statistical inference Statistical inference is finding useful applications in numerous fields, from sociology and econometrics to biostatistics. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 223,12
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Añadir al carritoCondición: New. pp. xvii + 532 Illus. This item is printed on demand.
Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoHardcover. Condición: Brand New. 1st edition. 532 pages. 9.25x6.25x1.25 inches. In Stock. This item is printed on demand.
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
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Añadir al carritoHardback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 930.