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.
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Anbieter: MB Books, Derbyshire, Vereinigtes Königreich
Hardcover. Zustand: Good. No Jacket. Condition : Good. Former-university library copy with associated library stamps etc. Hard cover, no jacket. 380pp. No highlighting or annotations to text. Please note the image is a stock photo - not the actual copy. Artikel-Nr. 942795
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Anbieter: Emile Kerssemakers ILAB, Heerlen, Niederlande
23 cm. original cloth, dustjacket. x,380 pp. references. index. "Econometric Society Monographs". -(very) good. 655g. Artikel-Nr. 72595
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Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Zustand: New. In. Artikel-Nr. ria9780521252805_new
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Anbieter: Kennys Bookstore, Olney, MD, USA
Zustand: New. 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. Series Editor(s): Chesher, Andrew; Jackson, Matthew O. Series: Econometric Society Monographs. Num Pages: 396 pages, black & white illustrations. BIC Classification: KCH; PBT. Category: (P) Professional & Vocational. Dimension: 228 x 152 x 25. Weight in Grams: 641. . 1994. hardcover. . . . . Books ship from the US and Ireland. Artikel-Nr. V9780521252805
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Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Artikel-Nr. 9780521252805
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