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Heyde Christopher C (34 results)
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Condition: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,550grams, ISBN:9780387982250.
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Condition: New. pp. 252 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.
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Quasi-likelihood and its application a general approach to optimal parameter estimation Christopher C. Heyde. Springer series in statistics; Springer Series in Statistics.
Published by New York , Springer [1997]., 1997
ISBN 10: 0387226796 ISBN 13: 9780387226798
Language: English
£ 21.90
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Add to basketHardcover. Ex-library with stamp and library-signature. GOOD condition, some traces of use. Ancien Exemplaire de bibliothèque avec signature et cachet. BON état, quelques traces d'usure. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. 62 HEY 9780387226798 Sprache: Englisch Gewicht in Gramm: 550.
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£ 21.82
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Add to basketCondition: 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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Statisticians of the centuries
Published by Springer, New York ; Berlin ; Heidelberg ; Barcelona ; Hong, 2001
ISBN 10: 0387952837 ISBN 13: 9780387952833
Language: English
Seller: Antiquariat Lücke, Einzelunternehmung, Schweinfurt, Germany
Seller rating 5 out of 5 stars
£ 33.96
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Add to basketKartoniert. Condition: Gut. 24 cm XII, 500 S. Orig.-Karton. Mit Abbildungen im Text. Gutes Exemplar.
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I. J. Bienayme. Statistical Theory Anticipated.
Published by Springer New York, 1977
Language: English
£ 34.85
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Add to basketHardcover/ Pappband. Condition: Gut. 172 S. Statistics Statistik Cover slightly damaged of a removed label. Guter Zustand/ Good With ill. Ex-Library. ha1064071 Sprache: Englisch Gewicht in Gramm: 600.
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Add to basketHardcover. Condition: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
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Quasi-Likelihood And Its Application: A General Approach to Optimal Parameter Estimation (Springer Series in Statistics)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Quasi-Likelihood And Its Application: A General Approach to Optimal Parameter Estimation (Springer Series in Statistics)
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is concerned with the general theory of optimal estimation of - rameters in systems subject to random e ects and with the application of this theory. The focus is on choice of families of estimating functions, rather than the estimators derived therefrom, and on optimization within these families. Only assumptions about means and covariances are required for an initial d- cussion. Nevertheless, the theory that is developed mimics that of maximum likelihood, at least to the rst order of asymptotics. The term quasi-likelihood has often had a narrow interpretation, asso- ated with its application to generalized linear model type contexts, while that of optimal estimating functions has embraced a broader concept. There is, however, no essential distinction between the underlying ideas and the term quasi-likelihood has herein been adopted as the general label. This emphasizes its role in extension of likelihood based theory. The idea throughout involves nding quasi-scores from families of estimating functions. Then, the qua- likelihood estimator is derived from the quasi-score by equating to zero and solving, just as the maximum likelihood estimator is derived from the like- hood score.
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Quasi-Likelihood And Its Application : A General Approach to Optimal Parameter Estimation
Published by Springer New York, Springer New York, 1997
ISBN 10: 0387982256 ISBN 13: 9780387982250
Language: English
£ 102.20
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Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is concerned with the general theory of optimal estimation of - rameters in systems subject to random e ects and with the application of this theory. The focus is on choice of families of estimating functions, rather than the estimators derived therefrom, and on optimization within these families. Only assumptions about means and covariances are required for an initial d- cussion. Nevertheless, the theory that is developed mimics that of maximum likelihood, at least to the rst order of asymptotics. The term quasi-likelihood has often had a narrow interpretation, asso- ated with its application to generalized linear model type contexts, while that of optimal estimating functions has embraced a broader concept. There is, however, no essential distinction between the underlying ideas and the term quasi-likelihood has herein been adopted as the general label. This emphasizes its role in extension of likelihood based theory. The idea throughout involves nding quasi-scores from families of estimating functions. Then, the qua- likelihood estimator is derived from the quasi-score by equating to zero and solving, just as the maximum likelihood estimator is derived from the like- hood score.
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£ 80.68
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Add to baskethardcover. Condition: New. In shrink wrap. Looks like an interesting title!
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Quasi-Likelihood And Its Application
Published by Springer New York, Springer New York Jul 1997, 1997
ISBN 10: 0387982256 ISBN 13: 9780387982250
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
£ 95.61
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Add to basketBuch. Condition: Neu. Neuware -This book is concerned with the general theory of optimal estimation of - rameters in systems subject to random e ects and with the application of this theory. The focus is on choice of families of estimating functions, rather than the estimators derived therefrom, and on optimization within these families. Only assumptions about means and covariances are required for an initial d- cussion. Nevertheless, the theory that is developed mimics that of maximum likelihood, at least to the rst order of asymptotics. The term quasi-likelihood has often had a narrow interpretation, asso- ated with its application to generalized linear model type contexts, while that of optimal estimating functions has embraced a broader concept. There is, however, no essential distinction between the underlying ideas and the term quasi-likelihood has herein been adopted as the general label. This emphasizes its role in extension of likelihood based theory. The idea throughout involves nding quasi-scores from families of estimating functions. Then, the qua- likelihood estimator is derived from the quasi-score by equating to zero and solving, just as the maximum likelihood estimator is derived from the like- hood score.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 252 pp. Englisch.
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Quasi-Likelihood And Its Application
Published by Springer New York, Springer New York Mär 2013, 2013
ISBN 10: 1475771045 ISBN 13: 9781475771046
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Add to basketTaschenbuch. Condition: Neu. Neuware -This book is concerned with the general theory of optimal estimation of - rameters in systems subject to random e ects and with the application of this theory. The focus is on choice of families of estimating functions, rather than the estimators derived therefrom, and on optimization within these families. Only assumptions about means and covariances are required for an initial d- cussion. Nevertheless, the theory that is developed mimics that of maximum likelihood, at least to the rst order of asymptotics. The term quasi-likelihood has often had a narrow interpretation, asso- ated with its application to generalized linear model type contexts, while that of optimal estimating functions has embraced a broader concept. There is, however, no essential distinction between the underlying ideas and the term quasi-likelihood has herein been adopted as the general label. This emphasizes its role in extension of likelihood based theory. The idea throughout involves nding quasi-scores from families of estimating functions. Then, the qua- likelihood estimator is derived from the quasi-score by equating to zero and solving, just as the maximum likelihood estimator is derived from the like- hood score.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 252 pp. Englisch.
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Paperback. Condition: Brand New. 246 pages. 9.25x6.10x0.57 inches. In Stock.
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£ 88.82
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Paperback. Condition: Like New. Like New. book.
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£ 42.21
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Written by leading statisticians and probabilists, this volume consists of 104 biographical articles on eminent contributors to statistical and probabilistic ideas born prior to the 20th Century. Among the statisticians covered are Fermat, Pascal, Huygens, .
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£ 80.42
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Written by leading statisticians and probabilists, this volume consists of 104 biographical articles on eminent contributors to statistical and probabilistic ideas born prior to the 20th Century. Among the statisticians covered are Fermat, Pascal, Huygens, .
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£ 82.46
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Add to basketGebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The first account in book formThe author is one of the leading experts in this areaThe first account in book form of all the essential features of the quasi-likelihood methodology, stressing its value as a general purpose inferential tool. The treat.
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£ 82.46
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The first account in book formThe author is one of the leading experts in this areaThe first account in book form of all the essential features of the quasi-likelihood methodology, stressing its value as a general purpose inferential tool. The treat.
