Abstract
The linear regression model introduced in Chap. 2 assumes the variance is constant, possibly from a normal distribution.
Just as the ability to devise simple but evocative models is the signature of the great scientist so overelaboration and overparameterization is often the mark of mediocrity.
Box [2, p. 792]
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References
Akaike, H.: A new look at the statistical model identification. IEEE Transactions on Automatic Control 19(6), 716–723 (1974)
Box, G.E.P.: Science and statistics. Journal of the American Statistical Association 71, 791–799 (1976)
Chatterjee, S., Handcock, M.S., Simonoff, J.S.: A Casebook for a First Course in Statistics and Data Analysis. John Wiley and Sons, New York (1995)
Dala, S.R., Fowlkes, E.B., Hoadley, B.: Risk analysis of the space shuttle: pre-Challenger prediction of failure. Journal of the American Statistical Association 84(408), 945–957 (1989)
Dunn, P.K., Smyth, G.K.: Randomized quantile residuals. Journal of Computational and Graphical Statistics 5(3), 236–244 (1996)
Feigl, P., Zelen, M.: Estimation of exponential survival probabilities with concomitant information. Biometrics 21, 826–838 (1965)
Glaister, D.H., Miller, N.L.: Cerebral tissue oxygen status and psychomotor performance during lower body negative pressure (LBNP). Aviation, Space and Environmental Medicine 61(2), 99–105 (1990)
Hauck Jr., W.W., Donner, A.: Wald’s test as applied to hypotheses in logit analysis. Journal of the American Statistical Association 72, 851–853 (1977)
Maron, M.: Threshold effect of eucalypt density on an aggressive avian competitor. Biological Conservation 136, 100–107 (2007)
McBride, J.L., Nicholls, N.: Seasonal relationships between Australian rainfall and the southern oscillation. Monthly Weather Review 111(10), 1998–2004 (1983)
Montgomery, D.C., Peck, E.A.: Introduction to Regression Analysis. Wiley, New York (1992)
Pook, M., Lisson, S., Risbey, J., Ummenhofer, C.C., McIntosh, P., Rebbeck, M.: The autumn break for cropping in southeast Australia: trends, synoptic influences and impacts on wheat yield. International Journal of Climatology 29, 2012–2026 (2009)
Smyth, G.K.: Australasian data and story library (Ozdasl) (2011). URL http://www.statsci.org/data
Stone, R.C., Auliciems, A.: soi phase relationships with rainfall in eastern Australia. International Journal of Climatology 12, 625–636 (1992)
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Dunn, P.K., Smyth, G.K. (2018). Chapter 4: Beyond Linear Regression: The Method of Maximum Likelihood. In: Generalized Linear Models With Examples in R. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-0118-7_4
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