Bootstrapped confidence intervals as an approach to statistical inference

Organizational Research Methods

Volumn 8, Issue 4, 2005, Pages 454-470

  Wood, Michael ^a  

^a UNIVERSITY OF PORTSMOUTH   (United Kingdom)

Author keywords

Bootstrap; Confidence interval; Hypothesis test; Resampling; Statistics

Indexed keywords

EID: 26644458596     PISSN: 10944281     EISSN: None     Source Type: Journal    
DOI: 10.1177/1094428105280059     Document Type: Article

References (18)

1. Davison, A. C., & Hinkley, D. V. (1997). Bootstrap methods and their application. Cambridge: Cambridge University Press.
2. Diaconis, P., & Efron, B. (1983, May). Computer intensive methods in statistics. Scientific American, 248, 96-108.
3. Efron, B. (1979). Bootstrap methods: Another look at the jackknife. Annals of Statistics, 7(1), 1-26.
4. Efron, B., & Tibshirani, R. J. (1993). An introduction to the bootstrap. New York: Chapman & Hall.
5. Gardner, M., & Altman, D. G. (1986, March 15). Confidence intervals rather than P values: Estimation rather than hypothesis testing. British Medical Journal, 292, 746-750.
6. Hall, P. (1992). The bootstrap and Edgeworth expansion. New York: Springer-Verlag.
7. Kirk, R. E. (1996). Practical significance: A concept whose time has come. Educational and Psychological Measurement, 56(5), 746-759.
8. Lindsay, R. M. (1995). Reconsidering the status of tests of significance: An alternative criterion of adequacy. Accounting, Organizations and Society, 20(1), 35-53.
9. Lunneborg, C. E. (2000). Data analysis by resampling: Concepts and applications. Pacific Grove, CA: Duxbury.
10. McGoldrick, P. M., & Greenland, S. J. (1992). Competition between banks and building societies. British Journal of Management, 3, 169-172.
11. Mooney, C. Z., & Duval, R. D. (1993). Bootstrapping: A nonparametric approach to statistical inference. London: Sage.
12. Morrison, D. E., & Henkel, R. E. (1970). The significance test controversy. London: Butterworths.
13. Noreen, E. W. (1989). Computer intensive methods for testing hypotheses. Chichester, UK: Wiley.
14. Royall, R. (1997). Statistical evidence: A likelihood paradigm. London: Chapman & Hall.
15. Russell, C. J., & Dean, M. A. (2000). To log or not to log: Bootstrap as an alternative to the parametric estimation of moderation effects in the presence of skewed dependent variables. Organizational Research Methods, 3(2), 166-185.
16. Morrison, D. E., & Henkel, R. E. (1970). The significance test controversy. London: Butterworth's.
17. Smithson, M. (2000). Statistics with confidence. London: Sage.
18. Wood, M. (2003). Making sense of statistics: A non-mathematical approach. Basingstoke, UK: Palgrave.