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TitleStochastic Abundance Models [electronic resource] : With Emphasis on Biological Communities and Species Diversity / edited by S. Engen
ImprintDordrecht : Springer Netherlands, 1978
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Descript X, 126 p. online resource


This monograph deals with the analysis of populations of elements. Each element is a member of one and only one class, and we shall mainly be concerned with populations with a large number of classes. No doubt the present theory has its outspring in ecology, where the elements symbolize the individual animals or plants, while the classes are the various species of the ecological community under consideration. Some basic ideas point back to a classical contribution by R.A. Fisher (1943, in collaboration with A.S. Corbet and c.B. Williams) representing a breakthrough for the theoretical analysis of diverse populations. Though most of the work in this field has been carried out by ecologists, statisticians and biometriยญ cians have, over the past 15 years, shown an ever increasing interest in the topic. Besides being directed towards biometricians and statisticians, this monograph may hopefully be of interest for any research worker dealing with the classification of units into a large number of classes, in particular ecologists, sociologists and linguists. However, some background in statistics and probability theory is required. It would be unless to read the present book without some knowledge of the continuous and discrete probability distributions summarized in section 1.1, and the use of generating functions. In particular, a clear intuitive and formal understanding of the concept of condiยญ tional probability and conditional distributions is required in order to interpret the various models correctly


I: Theoretical Treatement -- 1. Introduction -- 2. Sampling from a Population of Classes -- 3. Abundance Models -- 4. Sample Coverage -- 5. Indices of Diversity and Equitability -- II: Ecological Applications -- 6. Abundance Models in Ecology -- 7. Abundance Models in Ecologyโ{128}{148}Examples -- References -- Appendix A: The Structural Distribution for the Model dealt with in Example 2.4 -- Appendix B: Tables -- Author Index

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