Monika Schneider
Experimental Agriculture · 2016
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
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Papers from Monika Schneider's perspective
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- Data Analysis Using Regression and Multilevel/Hierarchical Models
- Why We (Usually) Don't Have to Worry About Multiple Comparisons
- Controlling the false discovery rate: a practical and powerful approach to multiple testing
- Robust Locally Weighted Regression and Smoothing Scatterplots
- Needles and straw in haystacks: Empirical Bayes estimates of possibly sparse sequences
- A weakly informative default prior distribution for logistic and other regression models
- Statistical Analysis With Missing Data
- Conservative prior distributions for variance parameters in hierarchical models
- Size, power and false discovery rates
- THE CONTROL OF THE FALSE DISCOVERY RATE IN MULTIPLE TESTING UNDER DEPENDENCY