Detection of outlying proportions
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Publication:5036423
DOI10.1080/02664763.2017.1371677OpenAlexW2487421642MaRDI QIDQ5036423
Publication date: 23 February 2022
Published in: Journal of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1608.01201
contingency tablesnext generation sequencingoutlier detectionminimal patternssomatic variantsvariant callers
Uses Software
Cites Work
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- Statistical models for proportions and probabilities
- Outlier detection in contingency tables based on minimal patterns
- Breakdown concepts for contingency tables
- Multiple comparisons of \(k\) binomial proportions
- Outliers and Patterns of Outliers in Contingency Tables with Algebraic Statistics
- Simultaneous Confidence Intervals for Comparing Binomial Parameters
- Outlier Identification Procedures for Contingency Tables using Maximum Likelihood and L1 Estimates
- Contingency Table Analysis
- Data Mining
- Person-centered methods. Configural frequency analysis (CFA) and other methods for the analysis of contingency tables
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