The logistic regression model with response variables subject to randomized response

The univariate and multivariate logistic regression model is discussed where response variables are subject to randomized response (RR). RR is an interview technique that can be used when sensitive questions have to be asked and respondents are reluctant to answer directly. RR variables may be descr...

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Veröffentlicht in:	Computational statistics & data analysis Jg. 51; H. 12; S. 6060 - 6069
Hauptverfasser:	van den Hout, Ardo, van der Heijden, Peter G.M., Gilchrist, Robert
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Elsevier B.V 15.08.2007 Elsevier Science Elsevier
Schriftenreihe:	Computational Statistics & Data Analysis
Schlagworte:	Exact sciences and technology General topics Linear inference, regression Mathematics Misclassification Multivariate analysis Multivariate and univariate logistic regression Numerical analysis Numerical analysis. Scientific computation Numerical methods in probability and statistics Probability and statistics Randomized response Regulatory non-compliance Sciences and techniques of general use Sensitive questions Statistics Sensitive questions Misclassification Randomized response Multivariate and univariate logistic regression Regulatory non-compliance Data analysis Conditional distribution Generalized linear model Response model Multivariate regression Probability distribution Conditional probability Logistic model Multivariate analysis Algorithm Unemployment Linear model Logistic distribution Statistical regression Logistic regression Statistical computation Regression model Experimental design Software
ISSN:	0167-9473, 1872-7352
Online-Zugang:	Volltext
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