Advanced Regression Models: Least Squares, Nonlinear, Poisson and Binary Logistics Regression Using R

  • William P. FoxEmail author
  • Jesse Hammond


Analysis in data science and digital business requires analysis of the data and in many cases the use of regression techniques.

References and Suggested Reading

  1. 1.
    Affi, A., & Azen, S. (1979). Statistical analysis (2nd ed., pp. 143–144). London, UK: Academic Press.Google Scholar
  2. 2.
    Devore, J. (2012). Probability and statistics for engineering and the sciences (8th ed., pp. 211–217). Belmont, CA: Cengage Publisher. Google Scholar
  3. 3.
    Fox, W. P., & Fowler, C. (1996). Understanding covariance and correlation. PRIMUS, VI(3), 235–244.CrossRefGoogle Scholar
  4. 4.
    Fox, W. (2012). Mathematical modeling with maple. Boston, MA: Cengage Publishers.Google Scholar
  5. 5.
    Fox, W. P. (2011, October–December). Using the EXCEL solver for nonlinear regression. Computers in Education Journal (COED), 2(4), 77–86.Google Scholar
  6. 6.
    Fox, W. P. (2012). Issues and importance of “good” starting points for nonlinear regression for mathematical modeling with maple: Basic model fitting to make predictions with oscillating data. Journal of Computers in Mathematics and Science Teaching., 31(1), 1–16.Google Scholar
  7. 7.
    Giordano, F., Fox, W., & Horton, S. (2013). A first course in mathematical modeling (5th ed.). Boston, MA: Cengage Publishers.Google Scholar
  8. 8.
    Johnson, I. (2012). An introductory handbook on probability, statistics, and excel. Retrieved July 11, 2012, from
  9. 9.
    Kreutz, J. (2010). How and When Armed Conflicts End: Introducing the UCDP Conflict Termination Dataset. Journal of Peace Research 47(2), 243–250.CrossRefGoogle Scholar
  10. 10.
    Melander, E., Oberg, M. & Hall, J. (2006). The ‘New Wars’ debate revisited: An empirical evaluation of the atrociousness of ‘New Wars’. Uppsala peace research papers no. 9, department of peace and conflict research. Sweden: Uppsala University. Accessed 12 Sept 2012.
  11. 11.
    Neter, J., Kutner, M., Nachtsheim, C., & Wasserman, W. (1996). Applied linear statistical models (4th ed., pp. 531–547). Chicago, Il: Irwin Press.Google Scholar

Copyright information

© This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2019

Authors and Affiliations

  1. 1.Naval Postgraduate SchoolMontereyUSA

Personalised recommendations