Confidence Intervals for the Weighted Sum of Two Independent Binomial Proportions

DOI10.1111/j.1467-842X.2012.00680.xzbMath1336.62101OpenAlexW2006621831WikidataQ57060116 ScholiaQ57060116MaRDI QIDQ2802799

Geoffrey Decrouez, Andrew P. Robinson

Publication date: 27 April 2016

Published in: Australian & New Zealand Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1467-842x.2012.00680.x

zbMATH Keywords

likelihood ratio testscore testWald testsmall sampleborder securityleakage surveyquarantine inspectionsum of proportions

Mathematics Subject Classification ID

Parametric tolerance and confidence regions (62F25) Parametric hypothesis testing (62F03) Applications of statistics to social sciences (62P25)

Related Items (5)

Bayesian analysis of a quarantine inspection model ⋮ Confidence interval for the weighted sum of two binomial proportions ⋮ Measuring the inspectorate: point and interval estimates for performance indicators ⋮ The distribution of a sum of independent binomial random variables ⋮ Approximate confidence intervals for a linear combination of binomial proportions: A new variant

Cites Work

• Bootstrapping binomial confidence intervals
• Confidence intervals for a binomial proportion and asymptotic expansions
• New intervals for the difference between two independent binomial proportions
• On Small-Sample Confidence Intervals for Parameters in Discrete Distributions
• Simple and Effective Confidence Intervals for Proportions and Differences of Proportions Result from Adding Two Successes and Two Failures
• Asymptotic Confidence Intervals for the Difference between Two Binomial Parameters for Use with Small Samples
• Small sample confidence intervals for the difference,ratio and odds ratio of two success probabilities
• Test‐Based Exact Confidence Intervals for the Difference of Two Binomial Proportions
• Invariant small sample confidence intervals for the difference of two success probabilities
• ON A METHOD OF ESTIMATING FREQUENCIES
• Unnamed Item

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