On testing independence in multidimensional contingency tables with stratified random sampling
DOI10.1016/0020-0255(94)90022-1zbMath0797.62047OpenAlexW2008072433MaRDI QIDQ1328545
Publication date: 25 October 1994
Published in: Information Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0020-0255(94)90022-1
simple random samplingrank constraintjoint probabilityoptimum allocationstratified random samplingmarginal probabilitiesdivergence statisticsmultidimensional contingency tablesasymptotic powerscommon asymptotic expansion
Nonparametric hypothesis testing (62G10) Asymptotic distribution theory in statistics (62E20) Sampling theory, sample surveys (62D05) Contingency tables (62H17) Statistical aspects of information-theoretic topics (62B10)
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Cites Work
- Asymptotic properties of divergence statistics in a stratified random sampling and its applications to test statistical hypotheses
- Asymptotic behaviour and statistical applications of divergence measures in multinomial populations: A unified study
- The \(\varphi\)-divergence statistic in bivariate multinomial populations including stratification
- The Analysis of Categorical Data From Complex Sample Surveys: Chi-Squared Tests for Goodness of Fit and Independence in Two-Way Tables
- On a test of independence for contingency tables
- Series Representations of Distributions of Quadratic Forms in Normal Variables. I. Central Case
- On Information and Sufficiency
- Decision Rules, Based on the Distance, for Problems of Fit, Two Samples, and Estimation
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