Volume 30 Issue 2
Mar.  2009
Turn off MathJax
Article Contents
RONG Ke, ZONG Cheng, MA Jian-zhang. A Method for Analysis of Habitat Selection Data: Bailey’s Interval. Zoological Research, 2009, 30(2): 215-220. doi: 10.3724/SP.J.1141.2009.02215
Citation: RONG Ke, ZONG Cheng, MA Jian-zhang. A Method for Analysis of Habitat Selection Data: Bailey’s Interval. Zoological Research, 2009, 30(2): 215-220. doi: 10.3724/SP.J.1141.2009.02215

A Method for Analysis of Habitat Selection Data: Bailey’s Interval

doi: 10.3724/SP.J.1141.2009.02215
More Information
  • Corresponding author: MA Jian-zhang
  • Received Date: 2008-11-06
  • Rev Recd Date: 1900-01-01
  • Publish Date: 2009-04-22
  • This paper calculated the Bonferroni interval and Bailey’s interval of four sets published data in order to show comparative dominance of Bailey’s method in the study of “use-available” model on habitat selection of animals. Bailey’s method deduced differently on two sets aforesaid data compared to Bonferroni method, one dataset of which couldn’t show whether the animals made habitat selection or not in Bonferroni method’s judgment. Nevertheless Bailey’s method detected the variance. Cherry (1996) pointed out that the Bonferroni method of interval construction is based on a large sample approximation for a confidence interval for a single binomial proportion with the overall confidence level controlled with the Bonferroni inequality. This method will lead to a logically wrong deduction because of lacking coherence and consonance for small samples. As an alternative, Bailey's method calculates correctly with the use of a continuous correcting factor to overcome the above-mentioned limitation, furthermore a Chi-square goodness-of-fit test is undesired. We recommended Bailey’s method in analyzing data of habitat selection. We also suggested that researchers should properly increase the sample size meanwhile decrease the number of type of habitats to control Type I and Type II errors.
  • loading
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (2631) PDF downloads(2002) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return