Regression 26 Spring

Preface

These are notes for STAT 3113 Regression 2026 Spring at Arkansas Tech University. If you have any questions please contact me through email.

References

[1]

Lindenmayer, D., Viggers, K., Cunningham, R. and Donnelly, C. (1995). Morphological variation among populations of the mountain brushtail possum, trichosurus-caninus ogilby (phalangeridae, marsupialia). Australian Journal of Zoology 43 449–58.

[2]

Belsley, D. A., Kuh, E. and Welsch, R. E. (1980). Regression diagnostics: Identifying influential data and sources of collinearity. John Wiley & Sons, New York.

[3]

Quinlan, J. R. (1993). Combining instance-based and model-based learning. In Proceedings of the tenth international conference on machine learning pp 236–43. Morgan Kaufmann, Amherst, Massachusetts.

[4]

Harrison, D. and Rubinfeld, D. L. (1978). Hedonic housing prices and the demand for clean air. Journal of Environmental Economics and Management 5 81–102.

[5]

Wilkinson, G. N. and Rogers, C. E. (1973). Symbolic description of factorial models for analysis of variance. Applied Statistics 22 392.

[6]

Wickham, H. (2014). Tidy data. Journal of Statistical Software 59.

[7]

Hogg, R. V., McKean, J. W. and Craig, A. T. (2020). Introduction to mathematical statistics. Pearson, Harlow, Essex, United Kingdom.

[8]

Mendenhall, W. and Sincich, T. (2020). A second course in statistics: Regression analyisis. Pearson Education, Inc, [Hoboken, New Jersey].

[9]

Healy, K. (2025). Gssrdoc: General social survey documentation for use in r.

[10]

Maindonald, J. H. and Braun, W. J. (2011). Data analysis and graphics using r. An example-based approach. Cambridge University Press, Cambridge.