Models for Contingency Tables with Known Margins when Target and Sampled Populations Differ

The analysis of two-way contingency tables with known margins is considered. Four methods for estimating the cell probabilities are compared, namely, raking (RAKE), maximum likelihood under random sampling (MLRS), minimum chi-squared (MCSQ), and least squares (LSQ). Assuming random sampling from the...

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Veröffentlicht in:	Journal of the American Statistical Association 1991-03, Vol.86 (413), p.87-95
Hauptverfasser:	Little, Roderick J. A., Wu, Mei-Miau
Format:	Artikel
Sprache:	eng
Schlagworte:	Categorical data Censuses Consistent estimators Estimation methods Estimators Exact sciences and technology Iterative proportional fitting Least squares Mathematics Maximum likelihood Minimum chi-square Modeling Probability and statistics Proportions Raking Random sampling Samples Sampling studies Sciences and techniques of general use Statistical models Statistics Theory and Methods Urbanity
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