A theory of truncated inverse sampling

DOI10.1080/07474946.2018.1554888zbMath1421.62113arXiv0810.5551OpenAlexW2964083162MaRDI QIDQ4634014

Xin-Jia Chen

Publication date: 7 May 2019

Published in: Sequential Analysis (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/0810.5551

zbMATH Keywords

uncertaintyconfidence intervalrandom walksequential estimationbounded random variableMonte Carlo estimationnonasymptotic methodtruncated inverse sampling

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05) Nonparametric tolerance and confidence regions (62G15) Monte Carlo methods (65C05) Sequential estimation (62L12)

Cites Work

• Unnamed Item
• Estimation of a probability with optimum guaranteed confidence in inverse binomial sampling
• Sampling algorithms for estimating the mean of bounded random variables
• Inverse Sampling for Nonasymptotic Sequential Estimation of Bounded Variable Means
• Sequential Methods and Their Applications
• An Optimal Algorithm for Monte Carlo Estimation
• Probability Inequalities for Sums of Bounded Random Variables
• On Excess Over the Boundary
• ON A METHOD OF ESTIMATING FREQUENCIES

This page was built for publication: A theory of truncated inverse sampling