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Maximum Likelihood Estimation of Functional Relationships: 69 (Lecture Notes in Statistics, 69) - Tapa blanda
Sinopsis
The theory of functional relationships concerns itself with inference from models with a more complex error structure than those existing in regression models. We are familiar with the bivariate linear relationship having measurement errors in both variables and the fact that the standard regression estimator of the slope underestimates the true slope. One complication with inference about parameters in functional relationships, is that many of the standard properties of likelihood theory do not apply, at least not in the form in which they apply to e.g. regression models. This is probably one of the reasons why these models are not adequately discussed in most general books on statistics, despite their wide applicability. In this monograph we will explore the properties of likelihood methods in the context of functional relationship models. Full and conditional likelihood methods are both considered. Possible modifications to these methods are considered when necessary. Apart from exloring the theory itself, emphasis shall be placed upon the derivation of useful estimators and their second moment properties. No attempt is made to be mathematically rigid. Proofs are usually outlined with extensive use of the Landau 0(.) and 0(.) notations. It is hoped that this shall provide more insight than the inevitably lengthy proofs meeting strict standards of mathematical rigour.
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Reseña del editor
The theory of functional relationships concerns itself with inference from models with a more complex error structure than those existing in regression models. We are familiar with the bivariate linear relationship having measurement errors in both variables and the fact that the standard regression estimator of the slope underestimates the true slope. One complication with inference about parameters in functional relationships, is that many of the standard properties of likelihood theory do not apply, at least not in the form in which they apply to e.g. regression models. This is probably one of the reasons why these models are not adequately discussed in most general books on statistics, despite their wide applicability. In this monograph we will explore the properties of likelihood methods in the context of functional relationship models. Full and conditional likelihood methods are both considered. Possible modifications to these methods are considered when necessary. Apart from exloring the theory itself, emphasis shall be placed upon the derivation of useful estimators and their second moment properties. No attempt is made to be mathematically rigid. Proofs are usually outlined with extensive use of the Landau 0(.) and 0(.) notations. It is hoped that this shall provide more insight than the inevitably lengthy proofs meeting strict standards of mathematical rigour.
Reseña del editor
The theory of functional relationships concerns itself with inference from models which have a more complex error structure than simple regression models. In the natural and social sciences, there is considerable interest in considering such models since very often researchers are studying random variables related by mathematical formulae. The aim of this volume is to extend the theory of maximum likelihood estimators to functional relationships. Apart from exploring the theory itself, emphasis is also placed on the derivation of usefulestimators and discussing their second moment properties. Both full and conditional likelihood methods are considered and several numerical examples are presented to illustrate the theory.
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Maximum Likelihood Estimation of Functional Relationships. Lecture Notes in Statistics 69
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Maximum Likelihood Estimation of Functional Relationships (Lecture Notes in Statistics, 69)
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Maximum Likelihood Estimation of Functional Relationships
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Maximum Likelihood Estimation of Functional Relationships (Paperback)
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Paperback. Condición: new. Paperback. The theory of functional relationships concerns itself with inference from models with a more complex error structure than those existing in regression models. We are familiar with the bivariate linear relationship having measurement errors in both variables and the fact that the standard regression estimator of the slope underestimates the true slope. One complication with inference about parameters in functional relationships, is that many of the standard properties of likelihood theory do not apply, at least not in the form in which they apply to e.g. regression models. This is probably one of the reasons why these models are not adequately discussed in most general books on statistics, despite their wide applicability. In this monograph we will explore the properties of likelihood methods in the context of functional relationship models. Full and conditional likelihood methods are both considered. Possible modifications to these methods are considered when necessary. Apart from exloring the theory itself, emphasis shall be placed upon the derivation of useful estimators and their second moment properties. No attempt is made to be mathematically rigid. Proofs are usually outlined with extensive use of the Landau 0(.) and 0(.) notations. It is hoped that this shall provide more insight than the inevitably lengthy proofs meeting strict standards of mathematical rigour. The theory of functional relationships concerns itself with inference from models with a more complex error structure than those existing in regression models. In this monograph we will explore the properties of likelihood methods in the context of functional relationship models. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9780387977218
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Maximum Likelihood Estimation of Functional Relationships (Lecture Notes in Statistics, 69)
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Maximum Likelihood Estimation of Functional Relationships (Lecture Notes in Statistics, 69)
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Maximum Likelihood Estimation of Functional Relationships
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The theory of functional relationships concerns itself with inference from models with a more complex error structure than those existing in regression models. We are familiar with the bivariate linear relationship having measurement errors in both variables and the fact that the standard regression estimator of the slope underestimates the true slope. One complication with inference about parameters in functional relationships, is that many of the standard properties of likelihood theory do not apply, at least not in the form in which they apply to e.g. regression models. This is probably one of the reasons why these models are not adequately discussed in most general books on statistics, despite their wide applicability. In this monograph we will explore the properties of likelihood methods in the context of functional relationship models. Full and conditional likelihood methods are both considered. Possible modifications to these methods are considered when necessary. Apart from exloring the theory itself, emphasis shall be placed upon the derivation of useful estimators and their second moment properties. No attempt is made to be mathematically rigid. Proofs are usually outlined with extensive use of the Landau 0(.) and 0(.) notations. It is hoped that this shall provide more insight than the inevitably lengthy proofs meeting strict standards of mathematical rigour. 124 pp. Englisch. Nº de ref. del artículo: 9780387977218
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Maximum Likelihood Estimation of Functional Relationships
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ISBN 10: 038797721X
ISBN 13: 9780387977218
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Condición: New. Series: Lecture Notes in Statistics. Num Pages: 115 pages, biography. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 244 x 170 x 6. Weight in Grams: 211. . 1992. Softcover reprint of the original 1st ed. 1992. Paperback. . . . . Nº de ref. del artículo: V9780387977218
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Maximum Likelihood Estimation of Functional Relationships
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Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The theory of functional relationships concerns itself with inference from models with a more complex error structure than those existing in regression models. We are familiar with the bivariate linear relationship having measurement errors in both variable. Nº de ref. del artículo: 5913091
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