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1
Frequentist and Bayesian Hypothesis Testing Focusing on Meaningful Effect Sizes.
Frequentist and Bayesian Hypothesis Testing Focusing on Meaningful Effect Sizes.
Midya, Vishal. | The Pennsylvania State University. | 2020
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2
Classical Nonparametric Hypothesis Tests with Applications in Social Good
Classical Nonparametric Hypothesis Tests with Applications in Social Good
Ottoboni, Kellie. | University of California, Berkeley | 2019
להדפיס
3
Essays in Experimental Economics and Non-Bayesian Learning.
Essays in Experimental Economics and Non-Bayesian Learning.
Galindo Prieto, Jimena.Economics. | New York University. | 2024
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4
A Gaussian-Process Framework for Nonlinear Statistical Inference Using Modern Machine Learning Models- [electronic resource]
A Gaussian-Process Framework for Nonlinear Statistical Inference Using Modern Machine Learning Models- [electronic resource]
Deng, Wenying.Biostatistics. | Harvard University. | 2023
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5
Inference of Cascades and Correlated Networks- [electronic resource]
Inference of Cascades and Correlated Networks- [electronic resource]
Sridhar, Anirudh.Electrical and Computer Engineeri | Princeton University. | 2023
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6
Hardware-Aided Approaches for Unconditional Confidentiality and Authentication.
Hardware-Aided Approaches for Unconditional Confidentiality and Authentication.
Bendary, Ahmed.Electrical and Computer Engineering | The Ohio State University. | 2021
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7
Essays on the Efficiency of Tests in Econometrics.
Essays on the Efficiency of Tests in Econometrics.
Engle, Samuel P.Economics. | The University of Wisconsin - Madison. | 2022
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8
Dry Runs and "PWRD" Aggregation: Two New Methods for Extracting Power from Careful Observation of a Randomized Controlled Trial's Context.
Dry Runs and "PWRD" Aggregation: Two New Methods for Extracting Power from Careful Observation of a Randomized Controlled Trial's Context.
Lycurgus, Timothy P.Statistics. | University of Michigan. | 2022
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9
Statistical Learning for Latent Attribute Models.
Statistical Learning for Latent Attribute Models.
Ma, Chenchen.Statistics. | University of Michigan. | 2022
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10
Testing for a Difference in Means After Selection.
Testing for a Difference in Means After Selection.
Chen, Yiqun.Biostatistics - Public Health. | University of Washington. | 2022
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