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Chao A., Chazdon R.L., Colwell R.K. et al. A new statistical approach for assessing similarity of |
species composition with incidence and abundance data // Ecol. Letters. 2005. V. 8. P. 148- |
159. |
Chao A., Shen T.J. Nonparametric estimation of Shannon`s index of diversity when there are |
unseen species in sample // Environmental and Ecol. Statist. 2003. V. 10. P. 429-443. |
Chaves L.F. An Entomologist guide to demystify Pseudoreplication: data analysis of field |
studies with design constraints // Journal of medical entomology. 2010. V. 47, № 3. P. 291- |
298. |
Chernick M.R. Bootstrap methods, a practitioner's guide. Hoboken (NJ): Wiley, 1999. 369 p. |
Chernick M.R., Fritis R. Introductory biostatistics for the health sciences: modern applications |
including bootstrap. Hoboken (NJ): Wiley, 2003. 406 p. |
Clarke K.R. Non-parametric multivariate analyses of changes in community structure // Austral. |
J. Ecol. 1993. V. 18. P. 117-143. |
Clarke K.R., Warwick R.M. A taxonomic distinctness index and its statistical properties // J. |
Appl. Ecol. 1998. V. 35. P. 523-531. |
Claude J. Morphometrics with R. Use R! series. N.Y.: Springer, 2008. 316 p. |
Clauset A., Shalizi C. R., Newman M. E. Power-law distributions in empirical data // SIAM |
Review, 2009. V. 51. P. 661-703. |
Cleveland W.S. Robust locally weighted regression and smoothing scatterplots // Journal of the |
American Statistical Association. 1979. V. 74, № 368. P. 829-836. |
Cowpertwait P.S., Metcalfe A.V. Introductory Time Series with R. N.Y.: Springer, 2009. 251 р. |
Crawley M.J. The R Book. London: Wiley & Sons Inc., 2007. 930 p. |
Davison A.C., Hinkley D.V. Bootstrap methods and their application. Cambridge: Cambridge |
University Press, 2006. 592 p. |
Davison R. A., Kuonen D. An Introduction to the Bootstrap with Applications in R // Statistical |
Computing and Statistical Graphics Newsletter. 2002. V. 13, № 1. P. 6-11. |
De Cáceres M, Legendre P. Associations between species and groups of sites: indices and |
statistical inference // Ecology. 2009. V. 90, № 12. P. 3566-3574. |
De'Ath G. Multivariate regression trees: a new technique for modeling species environment |
relationships // Ecology. 2002. V.83. P. 1105-1117. |
Demidenko E. Mixed Models - Theory and Applications. Hoboken (NJ): Wiley-Interscience, |
2004. 704 p. |
Dickey D.A., Fuller W.A. Distribution of the estimators for autoregressive time series with a unit |
root // J. Amer. Statist. Ass. 1979. V. 74. P. 427-431. |
Dryden I.L., Mardia K.V. Statistical shape analysis. N.Y.: Wiley, 1998. 347р. |
Dufrene M., Legendre P. Species assemblages and indicator species: the need for a exible |
asymmetrical approach // Ecol. Monogr. 1997. V.67, №3. P. 345-366. |
Edgington E.S. Randomization tests. N.Y.:Marcel Dekker, 1995. 341 p. |
Efron B. Computers and the theory of statistics: thinking the unthinkable |
// SIAM Review. |
1979а. V. 21, № 4. P. 460-480. |
Efron B. Bootstrep methods. Another look at the Jacknife // Ann. Statist. 1979б. № 7. P. 1-26. |
Efron B., Tibshirani R.J. An introduction to the bootstrap. N.Y.: Chapman & Hall, 1993. 436 p. |
Everitt B.S., Hothorn T. A Handbook Of Statistical Analyses Using R. N.Y.: Chapman and Hall, |
2006. 304 p. |
Everitt B.S., Howell D.C. Encyclopedia of Statistics in Behavioral Science. Chichester: Wiley & |
Sons Ltd., 2005. 2132 p. |
Faraway J.J. Extending the linear model with R: generalized linear, mixed effects and |
nonparametric regression models. Boca Raton (FL): Chapman & Hall, 2006. 331 p. |
Felsenstein J. Condence limits on phylogenies: an approach using the bootstrap // Evolution. |
1985.V.39. P. 783-791. |
Fisher R.A. The arrangement of eld experiments // Journal of the Ministry of Agriculture of |
GreatBritain. 1926. Vol. 33. P. 700-725. |
301 |
Fisher R.A. The Design of Experiments. 8-th edit. N.Y.: Hafner Pub. Co., 1966. 248 p. (1-th edit. |
1935). |
Fox J. An R and S-Plus Companion to Applied Regression. London: Sage Publications Inc., |
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