Optimal Method for Realizing Two-Sided Inferences About a Linear Combination of Two Proportions
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Publication:5299826
DOI10.1080/03610918.2011.650263zbMath1266.62027OpenAlexW1978084106MaRDI QIDQ5299826
M. Álvarez Hernández, A. Martín Andrés
Publication date: 21 June 2013
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610918.2011.650263
confidence intervalPeskun methodNewcombe-Zou methodscore exact and approximate methodsWald and adjusted Wald methods
Related Items (2)
Approximate confidence intervals for a linear combination of binomial proportions: A new variant ⋮ New asymptotic inferences about the difference, ratio, and linear combination of two independent proportions
Uses Software
Cites Work
- On Rao score and Pearson \(X^2\) statistics in generalized linear models
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- A note on confidence interval estimation for a linear function of binomial proportions
- Choosing the optimal unconditioned test for comparing two independent proportions
- The analysis of ordered categorical data: An overview and a survey of recent developments. (With discussion)
- New large-sample confidence intervals for a linear combination of binomial proportions
- On Small-Sample Confidence Intervals for Parameters in Discrete Distributions
- Simultaneous Confidence Intervals for Comparing Binomial Parameters
- Comparing Two Diagnostic Tests against the Same "Gold Standard" in the Same Sample
- The optimal method to make inferences about a linear combination of proportions
- Inferences about a linear combination of proportions
- Maximum Average-Power (MAP) Tests
- Rao's score, Neyman's \(C(\alpha)\) and Silvey's LM tests: an essay on historical developments and some new results
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