Resampling methods for estimating dispersion indices in random and adaptive designs

Environmental and Ecological Statistics

Volumn 10, Issue 1, 2003, Pages 83-93

  Di Battista, Tonio ^a  

^a UNIVERSITY OF CHIETI   (Italy)

Author keywords

Bias; Bootstrap and jackknife procedures; Heterogeneity; Skewness

Indexed keywords

DISPERSION; HETEROGENEITY; SAMPLING; SKEWNESS; STATISTICAL ANALYSIS;

OIDIUM; OIDIUM TUCKERI;

EID: 0037339890     PISSN: 13528505     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1021929323435     Document Type: Article

References (23)

1. Angelova, V. and Ivanov, A. (1998) Establishing the pollution character of grapevines grown in a industrially polluted region and its effect on the yield and quality of grape production. Rivista di viticultura e di enologia, 4, 13-25.
2. Booth, J.G., Butler, R.W., and Hall, P. (1994) Bootstrap methods for finite population. Journal of the American Statistical Association, 89, 1282-9.
3. Brown, J.A. and Manly, B.J.F. (1998) Restricted adaptive cluster sampling. Environmental and Ecological Statistics, 5, 49-63.
4. Bickel, P.J. and Freedman, D.A. (1984) Asymptotic normality and the bootstrap in stratified random sampling. The Annals of Statistics, 12, 470-82.
5. Clark, S.J. and Perry, J.N. (1994) Small sample estimation for Taylor's power law. Environmental and Ecological Statistics. 1, 287-302.
6. David, F.N. and Moore, P.G. (1954) Notes on contagious distributions in plant populations. Annals of Botany, 18, 47-53.
7. Di Battista, T. and Di Spalatro, D. (1998) A jackknife method for adaptive cluster sampling. In Funzioni speciali e applicazioni, A. Bellacicco and A. Laforgia (eds), F. Angeli, Milano, pp. 76-84.
8. Di Battista, T. and Di Spalatro, D. (1999) A bootstrap method for adaptive cluster sampling. In Classification and data analysis. Theory and Application. Series Studies in Classification. Data Analysis, and Knowledge Organization, M. Vichi and O. Opitz (eds). Springer-Verlag, Heidelberg, pp. 19-26.
9. Diggle, P.J. (1983) Statistical Analysis of Spatial Point Patterns, Academic Press, New York.
10. Douglas, J.B. (1975) Clustering and aggregation. Sankhya, 37 B, 398-417.
11. Efron, B. (1982) The Jackknife, the Bootstrap, and Other Resampling Plans, SIAM, Philadelphia.
12. Fisher, R.A., Thornton, H.G., and Mackenzie, W.A. (1922) The accuracy of the planting method of estimating the density of bacterial populations. Annals of Applied Biology, 9, 325-59.
13. Fisz, M. (1963) Probability Theory and Mathematical Statistics, Wiley, New York.
14. Hansen, M.H., Madow, W.G., and Tepping, B.J. (1983) An evaluation of model-dependent and probability-sampling inferences in sample surveys. Journal of the American Statistical Association, 78, 776-807.
15. Lloyd, M. (1967) Mean crowding. Journal of Animal Ecology, 36, 1-30.
16. Miller, R.G. (1964) A trustworthy jackknife. Annals of Mathematical Statistics, 35, 1594-1605.
17. Ripley, B.D. (1981) Spatial Statistics, John Wiley, Chichester.
18. Rogers, A. (1974) Statistical Analysis of Spatial Dispersion: the Quadrat Method, Pion, London.
19. Shao, J. and Tu, D. (1995) The Jackknife and Bootstrap, Springer-Verlag, Berlin.
20. Thompson, S.K. (1990) Adaptive cluster sampling. Journal of the American Statistical Association. 85, 1045-58.
21. Thompson, S.K. and Seber G.A.F. (1996) Adaptive Sampling, Wiley, New York.
22. Tukey, J.W. (1958) Bias and confidence in not-quite large samples. Annals of Mathematical Statistics, 29, 614.
23. Upton, G.J.G. and Fingleton, B. (1985) Spatial Data Analysis by Example, Vol. 1, John Wiley, Chichester.