Avoiding fallacious significance tests in stepwise regression: a Monte Carlo method applied to a meteorological theory for the Canadian lynx cycle
Author:
Publisher
Springer Science and Business Media LLC
Subject
Health, Toxicology and Mutagenesis,Atmospheric Science,Ecology
Link
http://link.springer.com/content/pdf/10.1007/BF01045893.pdf
Reference14 articles.
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2. Butler RW (1984) The significance attained by the best-fitting regressor variable. J Am Stat Assoc 79:341?348
3. Clancy KM, Giese RL, Benjamin DM (1980) Predicting jack-pine budworm (Choristoneura pinus pinus) infestations in northwestern Wisconsin, USA. Environ. Entomol 9:743?751
4. Diehr G, Hoflin DR (1974) Approximating the distribution of the sample R2 in best subset regressions. Technometrics 16:317?321
5. Draper NR, Smith H (1981) Applied regression analysis, 2nd edition. Wiley, New York, pp 311?312
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