RESAMPLING METHODS FOR COMPUTATION-INTENSIVE DATA ANALYSIS IN ECOLOGY AND EVOLUTION

作者: P H Crowley

DOI: 10.1146/ANNUREV.ES.23.110192.002201

关键词:

摘要: The advent of fast, relatively inexpensive (thus, widely available) microcom puters is transforming the way we analyze data in ecological and evolutionary research. Even morc …

参考文章(245)
Bradley Efron, Jackknife‐After‐Bootstrap Standard Errors and Influence Functions Journal of the royal statistical society series b-methodological. ,vol. 54, pp. 83- 111 ,(1992) , 10.1111/J.2517-6161.1992.TB01866.X
F. H. C. Marriott, Barnard's Monte Carlo Tests: How Many Simulations? Journal of The Royal Statistical Society Series C-applied Statistics. ,vol. 28, pp. 75- 77 ,(1979) , 10.2307/2346816
Eric W. Holman, Some evolutionary correlates of higher taxa Paleobiology. ,vol. 15, pp. 357- 363 ,(1989) , 10.1017/S0094837300009556
Marc Mangel, Colin Whitcomb Clark, Dynamic modeling in behavioral ecology ,(1988)
Cajo J. F. ter Braak, Permutation Versus Bootstrap Significance Tests in Multiple Regression and Anova Bootstrapping and related techniques. pp. 79- 85 ,(1992) , 10.1007/978-3-642-48850-4_10
Paul H. Garthwaite, Stephen T. Buckland, Generating Monte Carlo Confidence Intervals by the Robbins-Monro Process Applied statistics. ,vol. 41, pp. 159- 171 ,(1992) , 10.2307/2347625