Semiparametric regression for the social sciences

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DC Field	Value	Language
dc.contributor.author	Keele, Luke	-
dc.date.accessioned	2017-01-30T11:24:32Z	-
dc.date.available	2017-01-30T11:24:32Z	-
dc.date.issued	2006	-
dc.identifier.uri	http://hdl.handle.net/123456789/156662	-
dc.identifier.uri	http://localhost:8080/xmlui/handle/1/6106	-
dc.description	232 p.	en_US
dc.description.abstract	Nonparametric smoothing techniques allow for the estimation of nonlinear relationships between continuous variables. In conjunction with standard statistical models, these smoothing techniques provide the means to test for, and estimate, nonlinear relationships in a wide variety of analyses.	en_US
dc.language.iso	en	en_US
dc.publisher	Wiley	en_US
dc.subject	Regression analysis.	en_US
dc.title	Semiparametric regression for the social sciences	en_US
dc.type	Book	en_US
Appears in Collections:	Open Access Books

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