Bibliography: MS in Statistics
Cody, R. (2018), Learning SAS by Example (2nd ed.), Cary, NC: SAS Institute Inc.
Crawley, M. J. (2013), The R Book (2nd ed.), West Sussex, UK: John Wiley & Sons Ltd.
Dean, A., Voss, D., and Draguljić, D. (2017), Design and Analysis of Experiments (2nd ed.), Cham, CH: Springer International Publishing AG.
Delwiche, L. D., and Slaughter, S. J. (2019), The Little SAS Book (6th ed.), Cary, NC: SAS Institute Inc.
Evans, M. J., and Rosenthal, J. S. (2009), Probability and Statistics (2nd ed.), New York, NY: W. H. Freeman and Company.
Hoff, P. D. (2009), A First Course in Bayesian Statistical Methods, New York, NY: Springer Science+Business Media, LLC.
James, G., Witten, D., Hastie, T., and Tibshirani, R. (2021), An Introduction to Statistical Learning, (2nd ed.), New York, NY: Springer Science+Business Media, LLC.
Kuhn, M., and Johnson, K. (2013), Applied Predictive Modeling, New York, NY: Springer Science+Business Media, LLC.
Matloff, N. (2011), The Art of R Programming, San Francisco, CA: No Starch Press.
Spector, P. (2008), Data Manipulation with R, New York, NY: Springer Science+Business Media, LLC.
Sheather, S. J. (2009), A Modern Approach to Regression with R, New York, NY: Springer Science+Business Media, LLC.
Shumway, R. H., and Stoffer, D. S. (2017), Time Series Analysis and Its Applications (4th ed.), Cham, CH: Springer International Publishing AG.
Shumway, R. H., and Stoffer, D. S. (2019), Time Series, Boca Raton, FL: Taylor & Francis Group, LLC.
Sinha, P. P. (2014), Bioinformatics with R Cookbook, Birmingham, UK: Packt Publishing Ltd.
Tamhane, A. C., and Dunlop, D. D. (2000), Statistics and Data Analysis, Upper Saddle River, NJ: Prentice-Hall, Inc.
Vidakovic, B. (2017), Engineering Biostatistics, Hoboken, NJ: John Wiley & Sons Ltd.
Vittinghoff, E., Glidden, D. V., Shiboski, S. C., and McCulloch, C. E. (2012), Regression Methods in Biostatistics (2nd ed.), New York, NY: Springer Science+Business Media, LLC.
Wickham, H., and Grolemund, G. (2017), R for Data Science, Sebastopol, CA: O'Reilly Media, Inc.
Crawley, M. J. (2013), The R Book (2nd ed.), West Sussex, UK: John Wiley & Sons Ltd.
Dean, A., Voss, D., and Draguljić, D. (2017), Design and Analysis of Experiments (2nd ed.), Cham, CH: Springer International Publishing AG.
Delwiche, L. D., and Slaughter, S. J. (2019), The Little SAS Book (6th ed.), Cary, NC: SAS Institute Inc.
Evans, M. J., and Rosenthal, J. S. (2009), Probability and Statistics (2nd ed.), New York, NY: W. H. Freeman and Company.
Hoff, P. D. (2009), A First Course in Bayesian Statistical Methods, New York, NY: Springer Science+Business Media, LLC.
James, G., Witten, D., Hastie, T., and Tibshirani, R. (2021), An Introduction to Statistical Learning, (2nd ed.), New York, NY: Springer Science+Business Media, LLC.
Kuhn, M., and Johnson, K. (2013), Applied Predictive Modeling, New York, NY: Springer Science+Business Media, LLC.
Matloff, N. (2011), The Art of R Programming, San Francisco, CA: No Starch Press.
Spector, P. (2008), Data Manipulation with R, New York, NY: Springer Science+Business Media, LLC.
Sheather, S. J. (2009), A Modern Approach to Regression with R, New York, NY: Springer Science+Business Media, LLC.
Shumway, R. H., and Stoffer, D. S. (2017), Time Series Analysis and Its Applications (4th ed.), Cham, CH: Springer International Publishing AG.
Shumway, R. H., and Stoffer, D. S. (2019), Time Series, Boca Raton, FL: Taylor & Francis Group, LLC.
Sinha, P. P. (2014), Bioinformatics with R Cookbook, Birmingham, UK: Packt Publishing Ltd.
Tamhane, A. C., and Dunlop, D. D. (2000), Statistics and Data Analysis, Upper Saddle River, NJ: Prentice-Hall, Inc.
Vidakovic, B. (2017), Engineering Biostatistics, Hoboken, NJ: John Wiley & Sons Ltd.
Vittinghoff, E., Glidden, D. V., Shiboski, S. C., and McCulloch, C. E. (2012), Regression Methods in Biostatistics (2nd ed.), New York, NY: Springer Science+Business Media, LLC.
Wickham, H., and Grolemund, G. (2017), R for Data Science, Sebastopol, CA: O'Reilly Media, Inc.
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Favorites | Finished | History | Logistic Regression | MS in Statistics | Popular | Primer | Programming | Statistics | Time Series