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Christopher C. Heyde
author size:
USD
27.61
price size:
Cold Books /Biblio
dealer size:
Springer , pp. 252 . Hardback. New. Springer ISBN 0387982256 9780387982250 [US]
description size:
Heyde Christopher C
author size:
USD
30.76
price size:
Ergodebooks /Biblio
dealer size:
Springer, Date: 1997-07-31. 1997. hardcover. Used: Good. 1997. Springer ISBN 0387982256 9780387982250 [US]
description size:
Heyde Christopher C
author size:
USD
50.70
price size:
Ergodebooks /Biblio
dealer size:
Springer, Date: 1997-07-31. 1997. hardcover. Used:Good. 1997. Springer ISBN 0387982256 9780387982250 [US]
description size:
HEYDE CC
author size:
USD
54.28
price size:
Boekhandel - Antiquariaat Emile Kerssemakers /Biblio
dealer size:
New York, Springer, Springer, 1997.. 24 cm. original hardcover. x,236 pp. references. index. "Springer Series in Statistics". -very good. ISBN: 0387982256 New York, Springer, Springer, 1997. ISBN 0387982256 9780387982250 [NL]
description size:
Heyde Christopher C
author size:
USD
71.94
price size:
GridFreed LLC /Biblio
dealer size:
Springer, Date: 1997-07-31. Hardcover. New. New. In shrink wrap. Looks like an interesting title! 1997. Springer ISBN 0387982256 9780387982250 [US]
description size:
HEYDE C. C.
author size:
USD
73.00
price size:
DELHI BOOK STORE /Biblio
dealer size:
Springer, Date: 1997. 3rd. Hardcover. UsedLikeNew/UsedLikeNew. 1997. Springer ISBN 0387982256 9780387982250 [IN]
description size:
HEYDE C. C.
author size:
USD
73.00
price size:
DELHI BOOK STORE /Biblio
dealer size:
Springer, Date: 1997. 3rd. Hardcover. New/New. 1997. Springer ISBN 0387982256 9780387982250 [IN]
description size:
Christopher C. Heyde
author size:
USD
111.07
price size:
AHA-BUCH GmbH /ZVAB
dealer size:
ISBN10: 0387982256, ISBN13: 9780387982250, [publisher: Springer New York] Hardcover 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.
[Einbeck, Germany] [Publication Year: ...
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description size:
Christopher C. Heyde
author size:
USD
122.40
price size:
AHA-BUCH GmbH /AbebooksDE
dealer size:
ISBN10: 0387982256, ISBN13: 9780387982250, [publisher: Springer New York] Hardcover 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.
[Einbeck, Germany] [Publication Year: ...
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description size:
Christopher C. Heyde
author size:
USD
128.89
price size:
Ria Christie Collections /Biblio
dealer size:
Hard Cover. New. New Book; Fast Shipping from UK; Not signed; Not First Edition; The Quasi-Likelihood And Its Application : A General Approach to Optimal Parameter Estimation. ISBN 0387982256 9780387982250 [GB]
description size:
Heyde C. C.
author size:
USD
177.59
price size:
indianaabooks /Biblio
dealer size:
Very Good. ISBN 0387982256 9780387982250 [US]
description size:
Heyde C. C.
author size:
USD
247.83
price size:
BookVistas /Biblio
dealer size:
Springer, Date: 1997. 3rd. Hardcover. New. 1997. Springer ISBN 0387982256 9780387982250 [IN]
description size:
Heyde C. C.
author size:
USD
247.83
price size:
Sanctum Books /Biblio
dealer size:
Springer, Date: 1997. 3rd. Hardcover. New. 1997. Springer ISBN 0387982256 9780387982250 [IN]
description size:
Heyde C. C.
author size:
USD
285.00
price size:
Sanctum Books /Biblio
dealer size:
Springer, Date: 1997. New. 1997. Springer ISBN 0387982256 9780387982250 [IN]
description size:
Heyde C. C.
author size:
USD
285.00
price size:
BookVistas /Biblio
dealer size:
Springer, Date: 1997. New. 1997. Springer ISBN 0387982256 9780387982250 [IN]
description size:

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