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Quantile regression /

Quantile regression is gradually emerging as a unified statistical methodology for estimating models of conditional quantile functions. By complementing the exclusive focus of classical least squares regression on the conditional mean, quantile regression offers a systematic strategy for examining h...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Koenker, Roger, 1947-
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cambridge ; New York : Cambridge University Press, 2005.
Colección:Econometric Society monographs ; no. 38.
Temas:
Acceso en línea:Texto completo
Descripción
Sumario:Quantile regression is gradually emerging as a unified statistical methodology for estimating models of conditional quantile functions. By complementing the exclusive focus of classical least squares regression on the conditional mean, quantile regression offers a systematic strategy for examining how covariates influence the location, scale and shape of the entire response distribution. This monograph is the first comprehensive treatment of the subject, encompassing models that are linear and nonlinear, parametric and nonparametric. The author has devoted more than 25 years of research to this topic. The methods in the analysis are illustrated with a variety of applications from economics, biology, ecology and finance. The treatment will find its core audiences in econometrics, statistics, and applied mathematics in addition to the disciplines cited above.
Descripción Física:1 online resource (xv, 349 pages) : illustrations
Bibliografía:Includes bibliographical references (pages 319-335) and index.
ISBN:0511130341
9780511130342
0511130333
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0511754094
9780521845731
0521845734
1280223634
9781280223631
0511128819
9780511128813
1107713838
9781107713833
9786610223633
6610223637
0511198469
9780511198465
0511299370
9780511299377