Multivariate Regression Analysis for the Item Count Technique

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Bibliographische Detailangaben
Veröffentlicht in:Journal of the American Statistical Association Jg. 106; H. 494; S. 407 - 416
1. Verfasser: Imai, Kosuke
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Alexandria, VA Assoc 01.06.2011
American Statistical Association
Schlagworte:
Applications
Biology, psychology, social sciences
Exact sciences and technology
Experimental design
General topics
Mathematics
Multivariate analysis
Probability and statistics
Sciences and techniques of general use
Statistics
Probability distribution
Multivariate analysis
Statistical simulation
Implementation
Information loss
Estimator efficiency
Least squares method
Indirect questioning
Race
Privacy protection
Sample survey
Drug
Maximization
Social sciences
List experiments
Probability
Multivariate regression
Statistical estimation
Regression analysis
Algorithm
Sociometry
Characteristic function
Statistical method
Randomized response
Experimental design
Sensitive questions
Software
Survey methodology
Maximum likelihood
ISSN:0162-1459, 1537-274X
Online-Zugang:Volltext
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Beschreibung
ISSN:0162-1459
1537-274X
DOI:10.1198/jasa.2011.ap10415