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Reviews of Books and Teaching Materials

Reviews of Books and Teaching Materials

References

  • James, G., Witten, D., Hastie, T., and Tibshirani, R. (2013), An Introduction to Statistical Learning, New York: Springer-Verlag.
  • Nolan, D., and Temple Lang, D. (2015), Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving, Boca Raton, FL: CRC Press.
  • O’Neill, C., and Schutt, R. (2013), Doing Data Science: Straight Talk from the Frontline, Sebastopol, CA: O’Reilly Media, Inc.
  • Wickham, H., and Grolemund, G. (2016), R for Data Science: Import, Tidy, Transform, Visualize, and Model Data, Sebastopol, CA: O’Reilly Media, Inc.
  • Wilkinson, L. (1999), The Grammar of Graphics, New York: Springer.

References

  • Albert, J., Bennett, J., and Cochran, J. J. (2005), Anthology of Statistics in Sports, Philadelphia, PA: SIAM.
  • Gilovich, T., Vallone, R., and Tversky, A. (1985), “The Hot Hand in Basketball: On the Misperception of Random Sequences,” Cognitive Psychology, 17, 295–314.
  • James, B. (2001), The New Bill James Historical Baseball Abstract, New York: Free Press.
  • Oliver, D. (2004), Basketball on Paper: Rules and Tools for Performance Analysis, Dulles, VA: Potomac Books.

References

  • Card, D., and Krueger, A. (1994), “Minimum Wages and Employment: A Case Study of the Fast Food Industry in New Jersey and Pennsylvania,” American Economic Review, 84, 772–793.
  • Nolan, D., and Temple Lang, D. (2015), Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving, New York: Chapman and Hall.

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