Application of a generalized Cauchy-Schwarzinequality to species richness estimation

碩士 === 國立中興大學 === 應用數學系所 === 97 === There has many ways to estimate species richness of estimation in the ecological aspects. For example, jackknife estimator, bootstrap estimator, abumdance-based coverage estimator (ACE) and so on. And, it is good idea that use the greatest lower bound to estimate...

Full description

Bibliographic Details
Main Authors: ching-hui chan, 詹景惠
Other Authors: 沈宗荏
Format: Others
Language:zh-TW
Published: 2009
Online Access:http://ndltd.ncl.edu.tw/handle/52835080383162284790
Description
Summary:碩士 === 國立中興大學 === 應用數學系所 === 97 === There has many ways to estimate species richness of estimation in the ecological aspects. For example, jackknife estimator, bootstrap estimator, abumdance-based coverage estimator (ACE) and so on. And, it is good idea that use the greatest lower bound to estimate species richness. In many lower bound estimators, Chao (1987) lower bound estimators are often recommended and famous. Mao (2008) raised the lower bound of a set of generalized estimation by promotion of Chao (1984) results. In this paper, we modify Mao’s (2008) method that the types of trees in the forest was estimated, and three sets of empirical data to validate the method mentioned.