The Oxford handbook of applied nonparametric and semiparametric econometrics and statistics /

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Bibliographic Details
Imprint:Oxford : Oxford University Press, [2014]
Description:1 online resource (xviii, 539 pages) : illustrations.
Language:English
Series:[Oxford handbooks]
Oxford handbooks.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11767991
Hidden Bibliographic Details
Other authors / contributors:Racine, Jeffrey Scott, 1962- editor, author.
Su, Liangjun, editor, author.
Ullah, Aman, editor, author.
ISBN:9780199857951
0199857954
9781306168472
1306168473
9780199857944
0199857946
Digital file characteristics:data file
Notes:Series from print version book jacket.
Includes bibliographical references and indexes.
Print version record.
Summary:This volume, edited by Jeffrey Racine, Liangjun Su, and Aman Ullah, contains the latest research on nonparametric and semiparametric econometrics and statistics. These data-driven models seek to replace the ""classical"" parametric models of the past, which were rigid and often linear. Chapters by leading international econometricians and statisticians highlight the interface between econometrics and statistical methods for nonparametric and semiparametric procedures. They provide a balanced view of new developments in the analysis and modeling of applied sciences with cross-section, time seri.
Other form:Print version: Oxford handbook of applied nonparametric and semiparametric econometrics and statistics. New York : Oxford University Press, [2014] 9780199857944

MARC

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505 0 |a Part I. Methodology -- part II. Inverse problems -- part III. Additive models -- part IV. Model selection and averaging -- part V. Time series -- part VI. Cross section. 
520 |a This volume, edited by Jeffrey Racine, Liangjun Su, and Aman Ullah, contains the latest research on nonparametric and semiparametric econometrics and statistics. These data-driven models seek to replace the ""classical"" parametric models of the past, which were rigid and often linear. Chapters by leading international econometricians and statisticians highlight the interface between econometrics and statistical methods for nonparametric and semiparametric procedures. They provide a balanced view of new developments in the analysis and modeling of applied sciences with cross-section, time seri. 
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