Ten Projects in Applied Statistics
Peter McCullagh
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Regression Modeling Strategies : With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis
Jr., Frank E. Harrell
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Targeted Learning in Data Science : Causal Inference for Complex Longitudinal Studies
Mark J. van der Laan
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Applied Compositional Data Analysis : With Worked Examples in R
Peter Filzmoser
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The Elements of Statistical Learning : Data Mining, Inference, and Prediction, Second Edition
Trevor Hastie
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Regression Modeling Strategies : With Applications to Linear Models, Logistic Regression, and Survival Analysis
Frank E. Harrell
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The Elements of Statistical Learning : Data Mining, Inference, and Prediction, Second Edition
Trevor Hastie
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Targeted Learning in Data Science : Causal Inference for Complex Longitudinal Studies
Mark J. van der Laan
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Finite Mixture and Markov Switching Models
Sylvia Fruhwirth-Schnatter
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Reliability, Life Testing and the Prediction of Service Lives : For Engineers and Scientists
Sam C. Saunders
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Multiple Testing Procedures with Applications to Genomics
Sandrine Dudoit
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Maximum Penalized Likelihood Estimation : Volume II: Regression
Paul P. Eggermont
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Statistical Analysis of Network Data : Methods and Models
Eric D. Kolaczyk
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Principles and Theory for Data Mining and Machine Learning
Bertrand Clarke
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Principles and Theory for Data Mining and Machine Learning
Bertrand Clarke
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Resampling Methods for Dependent Data
S. N. Lahiri
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Statistical Methods in Software Engineering : Reliability and Risk
Nozer D. Singpurwalla
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