Some strong epsilon-equivalence of random variables
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Publication:1050694
DOI10.1007/BF02481023zbMath0513.60010MaRDI QIDQ1050694
Publication date: 1982
Published in: Annals of the Institute of Statistical Mathematics (Search for Journal in Brave)
Kullback-Leibler informationapproximation of random variablesbinomial-Poisson approximationdistinguishability of distributions
Probability distributions: general theory (60E05) Convergence of probability measures (60B10) Measures of information, entropy (94A17)
Related Items (3)
Improvements in the Poisson approximation of mixed Poisson distributions ⋮ Variance expansion and Berry-Esseen bound for the number of vertices of a random polygon in a polygon ⋮ The exact and approximate distributions of linear combinations of selected order statistics from a uniform distribution
Cites Work
- Unnamed Item
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- Approximations to the probabilities of binomial and multinomial random variables and chi-square type statistics
- Uniform Phi-equivalence of probability distributions based on information and related measures of discrepancy
- On the error evaluation of the joint normal approximation for sample quantiles
- Some inequalities based on inverse factorial series
- Asymptotic equivalence of probability distributions with applications to some problems of asymptotic independence
- A remark on the incomparability of two criteria for a uniform convergence of probability measures
- The Poisson Approximation to the Poisson Binomial Distribution
- A note on the upper bound for the distance in total variation between the binomal and the Poisson distribution
- Upper bounds for the distance in total variation between the binomial or negative binomial and the Poisson distribution
- A Note on Hoeffding's Inequality
- On the Robustness of Some Characterizations of the Normal Distribution
- The Estimation of Reliability from Stress-Strength Relationships
- Verallgemeinerung eines Satzes von Prochorow und Le Cam
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