This book examines the consequences of misspecifications from the fundamental to the nonexistent for the interpretation of likelihood-based methods of statistical estimation and interference.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
'... contains much material of interest to econometricians ... a useful source book for researchers, instructors and graduate students and essential reading for those interested in the effects of misspecification.' Econometric Theory
This book examines the consequences of misspecifications ranging from the fundamental to the nonexistent for the interpretation of likelihood-based methods of statistical estimation and interference. Professor White explores the underlying motivation for maximum-likelihood estimation and examines methods by which the possibility of misspecification can be empirically investigated, and offers a variety of tests for misspecification.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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23 cm. original cloth, dustjacket. x,380 pp. references. index. "Econometric Society Monographs". -(very) good. 655g. Codice articolo 72595
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Hardcover. Condizione: new. Hardcover. This book examines the consequences of misspecifications ranging from the fundamental to the nonexistent for the interpretation of likelihood-based methods of statistical estimation and interference. Professor White first explores the underlying motivation for maximum-likelihood estimation, treats the interpretation of the maximum-likelihood estimator (MLE) for misspecified probability models and gives the conditions under which parameters of interest can be consistently estimated despite misspecification and the consequences of misspecification for hypothesis testing in estimating the asymptotic covariance matrix of the parameters. The analysis concludes with an examination of methods by which the possibility of misspecification can be empirically investigated and offers a variety of tests for misspecification. This book examines the consequences of misspecifications ranging from the fundamental to the nonexistent for the interpretation of likelihood-based methods of statistical estimation and interference. Professor White first explores the underlying motivation for maximum-likelihood estimation, treats the interpretation of the maximum-likelihood estimator (MLE) for misspecified probability models and gives the conditions under which parameters of interest can be consistently estimated despite misspecification and the consequences of misspecification for hypothesis testing in estimating the asymptotic covariance matrix of the parameters. The analysis concludes with an examination of methods by which the possibility of misspecification can be empirically investigated and offers a variety of tests for misspecification. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9780521252805
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