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Book Reviews

Handbook of Regression Modeling in People Analytics: With Examples in R and Python,

References

  • Lipovetsky S. (2020), Introduction to Data Science: Data Analysis and Prediction Algorithms with R, by Rafael A. Irizarry, Technometrics, 62, 280–282.
  • Lipovetsky S. (2020), Statistical Inference via Data Science: A ModernDive into R and the Tidyverse, by Chester Ismay and Albert Y. Kim, Technometrics, 62, 283.
  • Lipovetsky S. (2021), Advanced Statistics with Applications in R, by Eugene Demidenko, Technometrics, 63, 273–275.
  • Lipovetsky S. (2021), Linear Models with Python, by Julian J. Faraway, Technometrics, 63, 426–427.
  • Lipovetsky S. (2021), “Game Theory in Regression Modeling: A Brief Review on Shapley Value Regression,” Model Assisted Statistics and Applications, 16, 165–168.
  • Lipovetsky S. (2021), “Modified Ridge and Other Regularization Criteria: A Brief Review on Meaningful Regression Models,” Model Assisted Statistics and Applications, 16, 225–227.

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