Cramér-type large deviations for samples from a finite population
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Publication:995420
DOI10.1214/009053606000001343zbMath1117.62006arXiv0708.1880OpenAlexW2089551573MaRDI QIDQ995420
Qiying Wang, John Robinson, Zhishui Hu
Publication date: 3 September 2007
Published in: The Annals of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/0708.1880
Asymptotic distribution theory in statistics (62E20) Central limit and other weak theorems (60F05) Sampling theory, sample surveys (62D05) Large deviations (60F10)
Related Items (7)
Cramér-type moderate deviations under local dependence ⋮ Quantile coupling inequalities and their applications ⋮ Detection of slightly expressed changes in random environment ⋮ Moderate deviations for finite population Student's statistic ⋮ Approximation by normal distribution for a sample sum in sampling without replacement from a finite population ⋮ Cramér-type large deviations for samples from a finite population ⋮ Some Further Results on Nonuniform Rates of Convergence to Normality in Finite Population with Applications
Cites Work
- Normal approximation for finite-population U-statistics
- An Edgeworth expansion for U-statistics based on samples from finite populations
- Cramér-type large deviations for samples from a finite population
- Edgeworth expansions for sampling without replacement from finite populations
- Mixtures of global and local Edgeworth expansions and their applications
- Large deviation probabilities for samples from a finite population
- Asymptotic expansions for the power of distributionfree tests in the two- sample problem
- An asymptotic expansion for samples from a finite population
- Berry-Esseen bounds for finite-population \(t\)-statistics
- An Edgeworth expansion for studentized finite population statistics
- Self-normalized Cramér-type large deviations for independent random variables.
- A Berry-Esseeen bound for finite population Student's statistic
- An Edgeworth expansion for finite-population \(U\)-statistics
- Orthogonal decomposition of finite population statistics and its applications to distributional asymptotics
- Self-normalized processes: exponential inequalities, moment bounds and iterated logarithm laws.
- Probability Inequalities for Sums of Bounded Random Variables
- Student's t-Test Under Symmetry Conditions
- On the Properties of U-Statistics When the Observations are not Independent
- One- and two-term Edgeworth expansions for a finite population sample mean. Exact results. I
- One- and two-term Edgeworth expansions for finite population sample mean. Exact results. II
- Empirical saddlepoint approximations of the Studentized mean under simple random sampling
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