Stochastic Abundance Models : With Emphasis on Biological Communities and Species Diversity / edited by S. Engen
(Monographs on Applied Probability and Statistics)
| データ種別 | 電子ブック |
|---|---|
| 出版者 | Dordrecht : Springer Netherlands |
| 出版年 | 1978 |
| 本文言語 | 英語 |
| 大きさ | X, 126 p : online resource |
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| 内容注記 | 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 Ecology—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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| 一般注記 | 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 biometri 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 condi tional probability and conditional distributions is required in order to interpret the various models correctly |
| 著者標目 | Engen, S. editor SpringerLink (Online service) |
| 件 名 | LCSH:Science FREE:Science, general FREE:Science, general |
| 分 類 | DC23:500 |
| 巻冊次 | ISBN:9789400957848 
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| ISBN | 9789400957848 |
| URL | http://dx.doi.org/10.1007/978-94-009-5784-8 |
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