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STS486 Tonio D.B. et al.
9. F. Ferraty and P. Vieu. Nonparametric functional data analysis.
Springer,New York, 2006.
10. S.A. Gattone and T. Di Battista. A functional approach to diversity
profiles.Journal of the Royal Statistical Society, 58:267-284, 2009.
11. J. Gove, G. Patil, D. Swindel, and C. Taillie. Ecological diversity and forest
management. In G. Patil and C. Rao, editors, Handbook of Statistics,
vol.12,Environmental Statistics, pages 409-462. Elsevier, Amsterdam,
1994.
12. M. Hill. Diversity and evenness: a unifying notation and its
consequences. Ecology, 54:427-432, 1973.
13. Maturo, F. and Di Battista, T. A functional approach to Hill's numbers for
assessing changes in species variety of ecological communities over
time. Ecological Indicators, 84, 70-81, 2018.
14. G. Patil and C. Taillie. An overview of diversity. In J. Grassle, G. Patil, W.
Smith, and C. Taillie, editors, Ecological Diversity in Theory and Practice,
pages 23{48. International Co-operative Publishing House, Fairland, MD,
1979.
15. J. Ramsay. Estimating smooth monotone functions. Journal of the Rojail
Statistical Society, 60:365-375, 1998.
16. J. Ramsay and B. Silverman. Functional Data Analysis, 2nd edn.
Springer,New York, 2005.
17. Thompson, S. (1992) Sampling. New York: John Wiley & Sons.

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