Comparing distributions by multiple testing across quantiles or CDF values
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Publication:1668577
DOI10.1016/J.JECONOM.2018.04.003zbMath1398.62110arXiv1708.04658OpenAlexW2749852428WikidataQ129700668 ScholiaQ129700668MaRDI QIDQ1668577
Publication date: 29 August 2018
Published in: Journal of Econometrics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1708.04658
familywise error rateprobability integral transformregression discontinuityKolmogorov-Smirnov testDirichlet
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Uses Software
Cites Work
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- Heterogeneous impacts in PROGRESA
- On the exact Berk-Jones statistics and their \(p\)-value calculation
- Fractional order statistic approximation for nonparametric conditional quantile inference
- Fast calculation of boundary crossing probabilities for Poisson processes
- Overweight tails are inefficient
- The asymptotic distribution of the supremum of the standardized empirical distribution function on subintervals
- The asymptotic distribution of the suprema of the standardized empirical processes
- A Bayesian method for weighted sampling
- Nonparametric estimation and inference on conditional quantile processes
- Generalizations of the familywise error rate
- An improved bootstrap test of stochastic dominance
- Putting Behavioral Economics to Work: Testing for Gift Exchange in Labor Markets Using Field Experiments
- Histospline smoothing the Bayesian bootstrap
- Goodness-of-fit test statistics that dominate the Kolmogorov statistics
- Asymptotic Statistics
- Order Statistics
- Approximate Permutation Tests and Induced Order Statistics in the Regression Discontinuity Design
- Nonparametric Likelihood Confidence Bands for a Distribution Function
- Testing for Restricted Stochastic Dominance
- Testing Statistical Hypotheses
- Identification and Inference in Nonlinear Difference-in-Differences Models
- Table for Estimating the Goodness of Fit of Empirical Distributions
- Asymptotic Theory of Certain "Goodness of Fit" Criteria Based on Stochastic Processes
- Non-Parametric Estimation. I. Validation of Order Statistics
- Improving the Power of Tests of Stochastic Dominance
- The Power to See: A New Graphical Test of Normality
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