Stopping Rules in Balanced Allocation Problems: Exact and Asymptotic Distributions
DOI10.1080/07474940802241025zbMath1148.60027OpenAlexW2006586321MaRDI QIDQ3527717
Publication date: 30 September 2008
Published in: Sequential Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/07474940802241025
probability generating functionnegative binomial distributionselection biasSchur convexitygamma-distributionoccupancy problemnormal order statisticsaccidental biasbalanced randomizationMarkov randomization design
Asymptotic distribution theory in statistics (62E20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Order statistics; empirical distribution functions (62G30) Probability distributions: general theory (60E05) Combinatorial probability (60C05) Stopping times; optimal stopping problems; gambling theory (60G40)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Non-parametric inference for balanced randomization designs
- K-treatment comparisons with restricted randomization rules in clinical trials
- Conditional inference for restricted randomization designs
- Birthday paradox, coupon collectors, caching algorithms and self- organizing search
- Quota sampling for multinomial via Dirichlet
- Asymptotic inference with response-adaptive treatment allocation designs
- Gamma-distribution order statistics, maximal multinomial frequency and randomization de\-signs
- Limiting Distributions in Sequential Occupancy Problem
- Design for the Control of Selection Bias
- Significance tests with restricted randomization design
- On Birthday, Collectors', Occupancy and Other Classical Urn Problems
- Interval estimation with restricted randomization rules
- Quota fulfillment times
- A restricted occupancy problem
- On the random allocation design for the control of selection bias in sequential experiments
- Randomization with non-uniform allocations: fulfillment time distributions and bias properties
- The Theory of Response‐Adaptive Randomization in Clinical Trials
- The use of random allocation for the control of selection bias
- Forcing a sequential experiment to be balanced
- Inequalities: theory of majorization and its applications
This page was built for publication: Stopping Rules in Balanced Allocation Problems: Exact and Asymptotic Distributions
