General properties and estimation of conditional Bernoulli models
DOI10.1006/jmva.1999.1872zbMath0969.62038OpenAlexW1993233733MaRDI QIDQ1582631
Publication date: 4 October 2001
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1006/jmva.1999.1872
maximum entropysurvey samplingmaximum likelihood estimateinclusion probabilitiesconditional Bernoulli
Estimation in multivariate analysis (62H12) Asymptotic distribution theory in statistics (62E20) Characterization and structure theory for multivariate probability distributions; copulas (62H05) Characterization and structure theory of statistical distributions (62E10)
Related Items (6)
Cites Work
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- Sanov property, generalized I-projection and a conditional limit theorem
- Weighted polynomial models and weighted sampling schemes for finite population
- Sampling with Unequal Probabilities without Replacement: A Review
- Weighted finite population sampling to maximize entropy
- Generalized Iterative Scaling for Log-Linear Models
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