If you need an accessible version of this item please contact JSTOR User Support

Estimating the Size of a Population from a Single Sample

Eugene M. Laska, Morris Meisner and Carole Siegel
Biometrics
Vol. 44, No. 2 (Jun., 1988), pp. 461-472
DOI: 10.2307/2531859
Stable URL: http://www.jstor.org/stable/2531859
Page Count: 12
  • Download PDF
  • Cite this Item

You are not currently logged in.

Access your personal account or get JSTOR access through your library or other institution:

login

Log in to your personal account or through your institution.

If you need an accessible version of this item please contact JSTOR User Support
Estimating the Size of a Population from a Single Sample
Preview not available

Abstract

Methods for estimating the size of a population of individuals usually require multiple samples from the group. We consider a population composed of an unknown number, N*, of individuals on one or more of K > 1 ordered lists. A single sample of individuals from the population, those on list K, together with the identification of the list on which they last appeared prior to list K is obtained. Under relatively weak assumptions on the probability model, an unbiased maximum likelihood estimator of N* is obtained. An expression is derived for the bias of the estimator and its consequence on the true probability of coverage of the confidence interval when the model's assumptions do not hold. Applications of this method are discussed and an illustrative example is presented.

Page Thumbnails

  • Thumbnail: Page 
461
    461
  • Thumbnail: Page 
462
    462
  • Thumbnail: Page 
463
    463
  • Thumbnail: Page 
464
    464
  • Thumbnail: Page 
465
    465
  • Thumbnail: Page 
466
    466
  • Thumbnail: Page 
467
    467
  • Thumbnail: Page 
468
    468
  • Thumbnail: Page 
469
    469
  • Thumbnail: Page 
470
    470
  • Thumbnail: Page 
471
    471
  • Thumbnail: Page 
472
    472