Published by Cambridge University Press, 2009
ISBN 10: 0521123259 ISBN 13: 9780521123259
Language: English
Seller: GreatBookPrices, Columbia, MD, U.S.A.
US$ 66.52
Convert currencyQuantity: Over 20 available
Add to basketCondition: New.
Published by Cambridge University Press, 2009
ISBN 10: 0521123259 ISBN 13: 9780521123259
Language: English
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
US$ 65.18
Convert currencyQuantity: Over 20 available
Add to basketCondition: New.
Published by Cambridge University Press, 2009
ISBN 10: 0521123259 ISBN 13: 9780521123259
Language: English
Seller: California Books, Miami, FL, U.S.A.
Condition: New.
Published by Cambridge University Press, 2009
ISBN 10: 0521123259 ISBN 13: 9780521123259
Language: English
Seller: GreatBookPrices, Columbia, MD, U.S.A.
US$ 76.08
Convert currencyQuantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
Published by Cambridge University Press CUP, 2009
ISBN 10: 0521123259 ISBN 13: 9780521123259
Language: English
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. pp. 300.
Published by Cambridge University Press, Cambridge, 2009
ISBN 10: 0521123259 ISBN 13: 9780521123259
Language: English
Seller: Grand Eagle Retail, Mason, OH, U.S.A.
Paperback. Condition: new. Paperback. The theory of empirical processes provides valuable tools for the development of asymptotic theory in (nonparametric) statistical models, and makes possible the unified treatment of a number of them. This book reveals the relation between the asymptotic behaviour of M-estimators and the complexity of parameter space. Virtually all results are proved using only elementary ideas developed within the book; there is minimal recourse to abstract theoretical results. To make the results concrete, a detailed treatment is presented for two important examples of M-estimation, namely maximum likelihood and least squares. The theory also covers estimation methods using penalties and sieves. Many illustrative examples are given, including the Grenander estimator, estimation of functions of bounded variation, smoothing splines, partially linear models, mixture models and image analysis. Graduate students and professionals in statistics as well as those with an interest in applications, to such areas as econometrics, medical statistics, etc., will welcome this treatment. This book deals with estimation methods in statistics, and treats various models in a unified way. Many illustrative examples are given, including the Grenander estimator, smoothing splines, partially linear models, mixture models and image analysis. Graduate students and professionals in statistics will welcome this treatment. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Published by Cambridge University Press, 2009
ISBN 10: 0521123259 ISBN 13: 9780521123259
Language: English
Seller: Majestic Books, Hounslow, United Kingdom
US$ 75.81
Convert currencyQuantity: 1 available
Add to basketCondition: New. pp. 300 66:B&W 7 x 10 in or 254 x 178 mm Perfect Bound on White w/Gloss Lam.
Published by Cambridge University Press, 2009
ISBN 10: 0521123259 ISBN 13: 9780521123259
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
US$ 73.34
Convert currencyQuantity: Over 20 available
Add to basketCondition: New. In.
Published by Cambridge University Press 2009-11-19, 2009
ISBN 10: 0521123259 ISBN 13: 9780521123259
Language: English
Seller: Chiron Media, Wallingford, United Kingdom
US$ 71.79
Convert currencyQuantity: 10 available
Add to basketPaperback. Condition: New.
Published by Cambridge University Press, GB, 2009
ISBN 10: 0521123259 ISBN 13: 9780521123259
Language: English
Seller: Rarewaves USA, OSWEGO, IL, U.S.A.
Paperback. Condition: New. Illustrated. The theory of empirical processes provides valuable tools for the development of asymptotic theory in (nonparametric) statistical models, and makes possible the unified treatment of a number of them. This book reveals the relation between the asymptotic behaviour of M-estimators and the complexity of parameter space. Virtually all results are proved using only elementary ideas developed within the book; there is minimal recourse to abstract theoretical results. To make the results concrete, a detailed treatment is presented for two important examples of M-estimation, namely maximum likelihood and least squares. The theory also covers estimation methods using penalties and sieves. Many illustrative examples are given, including the Grenander estimator, estimation of functions of bounded variation, smoothing splines, partially linear models, mixture models and image analysis. Graduate students and professionals in statistics as well as those with an interest in applications, to such areas as econometrics, medical statistics, etc., will welcome this treatment.
Published by Cambridge University Press, 2009
ISBN 10: 0521123259 ISBN 13: 9780521123259
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
US$ 73.33
Convert currencyQuantity: Over 20 available
Add to basketCondition: New.
Published by Cambridge University Press, 2009
ISBN 10: 0521123259 ISBN 13: 9780521123259
Language: English
Seller: Biblios, Frankfurt am main, HESSE, Germany
US$ 82.63
Convert currencyQuantity: 1 available
Add to basketCondition: New. pp. 300.
Published by Cambridge University Press, 2009
ISBN 10: 0521123259 ISBN 13: 9780521123259
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
US$ 83.06
Convert currencyQuantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
Published by Cambridge University Press, GB, 2009
ISBN 10: 0521123259 ISBN 13: 9780521123259
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
US$ 103.97
Convert currencyQuantity: Over 20 available
Add to basketPaperback. Condition: New. Illustrated. The theory of empirical processes provides valuable tools for the development of asymptotic theory in (nonparametric) statistical models, and makes possible the unified treatment of a number of them. This book reveals the relation between the asymptotic behaviour of M-estimators and the complexity of parameter space. Virtually all results are proved using only elementary ideas developed within the book; there is minimal recourse to abstract theoretical results. To make the results concrete, a detailed treatment is presented for two important examples of M-estimation, namely maximum likelihood and least squares. The theory also covers estimation methods using penalties and sieves. Many illustrative examples are given, including the Grenander estimator, estimation of functions of bounded variation, smoothing splines, partially linear models, mixture models and image analysis. Graduate students and professionals in statistics as well as those with an interest in applications, to such areas as econometrics, medical statistics, etc., will welcome this treatment.
Published by Cambridge University Press, Cambridge, 2009
ISBN 10: 0521123259 ISBN 13: 9780521123259
Language: English
Seller: CitiRetail, Stevenage, United Kingdom
US$ 81.42
Convert currencyQuantity: 1 available
Add to basketPaperback. Condition: new. Paperback. The theory of empirical processes provides valuable tools for the development of asymptotic theory in (nonparametric) statistical models, and makes possible the unified treatment of a number of them. This book reveals the relation between the asymptotic behaviour of M-estimators and the complexity of parameter space. Virtually all results are proved using only elementary ideas developed within the book; there is minimal recourse to abstract theoretical results. To make the results concrete, a detailed treatment is presented for two important examples of M-estimation, namely maximum likelihood and least squares. The theory also covers estimation methods using penalties and sieves. Many illustrative examples are given, including the Grenander estimator, estimation of functions of bounded variation, smoothing splines, partially linear models, mixture models and image analysis. Graduate students and professionals in statistics as well as those with an interest in applications, to such areas as econometrics, medical statistics, etc., will welcome this treatment. This book deals with estimation methods in statistics, and treats various models in a unified way. Many illustrative examples are given, including the Grenander estimator, smoothing splines, partially linear models, mixture models and image analysis. Graduate students and professionals in statistics will welcome this treatment. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Seller: Revaluation Books, Exeter, United Kingdom
US$ 101.02
Convert currencyQuantity: 2 available
Add to basketPaperback. Condition: Brand New. 1st edition. 286 pages. 9.75x7.00x0.75 inches. In Stock.
Published by Cambridge University Press, Cambridge, 2009
ISBN 10: 0521123259 ISBN 13: 9780521123259
Language: English
Seller: AussieBookSeller, Truganina, VIC, Australia
US$ 107.32
Convert currencyQuantity: 1 available
Add to basketPaperback. Condition: new. Paperback. The theory of empirical processes provides valuable tools for the development of asymptotic theory in (nonparametric) statistical models, and makes possible the unified treatment of a number of them. This book reveals the relation between the asymptotic behaviour of M-estimators and the complexity of parameter space. Virtually all results are proved using only elementary ideas developed within the book; there is minimal recourse to abstract theoretical results. To make the results concrete, a detailed treatment is presented for two important examples of M-estimation, namely maximum likelihood and least squares. The theory also covers estimation methods using penalties and sieves. Many illustrative examples are given, including the Grenander estimator, estimation of functions of bounded variation, smoothing splines, partially linear models, mixture models and image analysis. Graduate students and professionals in statistics as well as those with an interest in applications, to such areas as econometrics, medical statistics, etc., will welcome this treatment. This book deals with estimation methods in statistics, and treats various models in a unified way. Many illustrative examples are given, including the Grenander estimator, smoothing splines, partially linear models, mixture models and image analysis. Graduate students and professionals in statistics will welcome this treatment. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Published by Cambridge University Press, GB, 2009
ISBN 10: 0521123259 ISBN 13: 9780521123259
Language: English
Seller: Rarewaves USA United, OSWEGO, IL, U.S.A.
US$ 95.72
Convert currencyQuantity: Over 20 available
Add to basketPaperback. Condition: New. Illustrated. The theory of empirical processes provides valuable tools for the development of asymptotic theory in (nonparametric) statistical models, and makes possible the unified treatment of a number of them. This book reveals the relation between the asymptotic behaviour of M-estimators and the complexity of parameter space. Virtually all results are proved using only elementary ideas developed within the book; there is minimal recourse to abstract theoretical results. To make the results concrete, a detailed treatment is presented for two important examples of M-estimation, namely maximum likelihood and least squares. The theory also covers estimation methods using penalties and sieves. Many illustrative examples are given, including the Grenander estimator, estimation of functions of bounded variation, smoothing splines, partially linear models, mixture models and image analysis. Graduate students and professionals in statistics as well as those with an interest in applications, to such areas as econometrics, medical statistics, etc., will welcome this treatment.
Published by Cambridge University Press, 2009
ISBN 10: 0521123259 ISBN 13: 9780521123259
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
US$ 107.89
Convert currencyQuantity: 1 available
Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The theory of empirical processes provides valuable tools for the development of asymptotic theory in (nonparametric) statistical models, and makes possible the unified treatment of a number of them. This book reveals the relation between the asymptotic behaviour of M-estimators and the complexity of parameter space. Virtually all results are proved using only elementary ideas developed within the book; there is minimal recourse to abstract theoretical results. To make the results concrete, a detailed treatment is presented for two important examples of M-estimation, namely maximum likelihood and least squares. The theory also covers estimation methods using penalties and sieves. Many illustrative examples are given, including the Grenander estimator, estimation of functions of bounded variation, smoothing splines, partially linear models, mixture models and image analysis. Graduate students and professionals in statistics as well as those with an interest in applications, to such areas as econometrics, medical statistics, etc., will welcome this treatment.
Published by Cambridge University Press, GB, 2009
ISBN 10: 0521123259 ISBN 13: 9780521123259
Language: English
Seller: Rarewaves.com UK, London, United Kingdom
US$ 99.13
Convert currencyQuantity: Over 20 available
Add to basketPaperback. Condition: New. Illustrated. The theory of empirical processes provides valuable tools for the development of asymptotic theory in (nonparametric) statistical models, and makes possible the unified treatment of a number of them. This book reveals the relation between the asymptotic behaviour of M-estimators and the complexity of parameter space. Virtually all results are proved using only elementary ideas developed within the book; there is minimal recourse to abstract theoretical results. To make the results concrete, a detailed treatment is presented for two important examples of M-estimation, namely maximum likelihood and least squares. The theory also covers estimation methods using penalties and sieves. Many illustrative examples are given, including the Grenander estimator, estimation of functions of bounded variation, smoothing splines, partially linear models, mixture models and image analysis. Graduate students and professionals in statistics as well as those with an interest in applications, to such areas as econometrics, medical statistics, etc., will welcome this treatment.
Published by Cambridge University Press, 2009
ISBN 10: 0521123259 ISBN 13: 9780521123259
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
US$ 77.12
Convert currencyQuantity: Over 20 available
Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 583.
Seller: Revaluation Books, Exeter, United Kingdom
US$ 74.72
Convert currencyQuantity: 1 available
Add to basketPaperback. Condition: Brand New. 1st edition. 286 pages. 9.75x7.00x0.75 inches. In Stock. This item is printed on demand.
Published by Cambridge University Press, 2009
ISBN 10: 0521123259 ISBN 13: 9780521123259
Language: English
Seller: moluna, Greven, Germany
US$ 82.19
Convert currencyQuantity: Over 20 available
Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book deals with estimation methods in statistics, and treats various models in a unified way. Many illustrative examples are given, including the Grenander estimator, smoothing splines, partially linear models, mixture models and image analysis. Gradua.