+ Site Statistics
+ Search Articles
+ PDF Full Text Service
How our service works
Request PDF Full Text
+ Follow Us
Follow on Facebook
Follow on Twitter
Follow on LinkedIn
+ Subscribe to Site Feeds
Most Shared
PDF Full Text
+ Translate
+ Recently Requested

Sequential stopping rules for species accumulation



Sequential stopping rules for species accumulation



Journal of Agricultural Biological and Environmental Statistics e; 8(2): 184-195



Identifying and counting the total number of biological species observed to date, and plotting versus a measure of the effort used to record them, gives rise to a species accumulation curve. Interest typically is concerned with estimating the total number of species in the area of study, having observed only the accumulation curve, having no information on species frequencies. This article considers the problem of optimally stopping the sampling process. We use a sequential procedure with a fixed maximum horizon for accumulation. A utility function based on the number of new species to be observed and the effort saved from the maximum horizon is adopted, and a workable algorithm based on backward induction is obtained. An example in accumulation of bat species is also presented.

Please choose payment method:






(PDF emailed within 0-6 h: $19.90)

Accession: 011345081

Download citation: RISBibTeXText

DOI: 10.1198/1085711031553


Related references

Sequential Stopping Rules for Species Accumulation. Journal of Agricultural, Biological, and Environmental Statistics 8(2): 184-195, 2003

Sequential stopping rules in clinical trials. Statistics in Medicine 9(6): 595-600, 1990

Rejoinder: statistical inference from trials with sequential stopping rules. Controlled Clinical Trials 4(1): 27-33, 1983

Sequential stopping rules and sequentially adjusted P values: does one require the other?. Controlled Clinical Trials 4(1): 3-10, 1983

Comparison of some sequential procedures with related optimal stopping rules. Probability Theory and Related Fields 70(3): 411-416, 1985

Flexible Implementations of Group Sequential Stopping Rules Using Constrained Boundaries. Biometrics 59(4): 0-7, 2003

On the frequentist and likelihood controversy over sequential stopping rules in clinical trials. Controlled Clinical Trials 4(3): 261-263, 1983

Flexible implementations of group sequential stopping rules using constrained boundaries. Biometrics 59(4): 770-777, 2004

Issues in designing sequential stopping rules for monitoring side effects in clinical trials. Controlled Clinical Trials 8(4): 327-337, 1987

Early stopping rules in clinical trials based on sequential monitoring of serious adverse events. Medical Decision Making 29(3): 343-350, 2009

Software to compute and conduct sequential Bayesian phase I or II dose-ranging clinical trials with stopping rules. Computer Methods and Programs in Biomedicine 72(2): 117-125, 2003

A comparison of a new multinomial stopping rule with stopping rules of fleming and gehan in single arm phase II cancer clinical trials. Bmc Medical Research Methodology 11: 95, 2011

Stopping rules scale and data transformation in exploratory species ordination. Bulletin of the Ecological Society of America 71(2 SUPPL): 216, 1990

Water allocation by social choice rules: The case of sequential rules. Ecological Economics 65(2): 304-314, 2008

On optimal stopping rules. Probability Theory and Related Fields 2(1): 33-49, 1963