未找到相关数据
Nonparametric Estimations about Species Not Observed in a Random Sample
被引：0
作者：
Alberto Gandolfi
C. C. A. Sastri
机构：
[1] Università di Firenze,Dipartimento di Matematica U. Dini
[2] Dalhousie University,Department of Mathematics and Statistics
关键词：
Primary 62G05;
Secondary 62P10;
92B15;
Nonparametric Estimators;
Bayesian Inference;
Unobserved Probability;
Number of Species;
Abundance;
Simple Random Sample;
D O I：
10.1007/s00032-004-0031-8
中图分类号：
学科分类号：
摘要：
A brief survey of work done on two long-standing and important problems in statistics is given. In a simple random sample (with replacement) of size n from a population divided into species, if N distinct species are observed, what is the probability that, on the next trial, a species not observed before is discovered? And what is the total number of species not observed? Interesting in many applied areas, these problems have been discussed in a great number of papers. We survey some of the related publications as well as a Bayes-like estimator recently devised by the authors, together with results on the estimation of the distribution of the probability of discovering a new species.
引用
收藏
页码：81 / 105
页数：24
相关论文