Estimating population sizes for capture-recapture sampling with binomial mixtures

A binomial mixture model has been used to account for heterogeneous individual capture probabilities in capture-recapture studies. The problem of estimating the population size is reduced to estimating the odds that an individual is not captured. The odds is nonidentifiable. There is no upper bound to the odds. The odds admits lower bounds that can yield estimable lower bounds to the population size. An example is studied. A simulation experiment is used to evaluate the proposed and existing estimators.

[1]  Anne Chao,et al.  Estimating population size for sparse data in capture-recapture experiments , 1989 .

[2]  B. Lindsay,et al.  Estimating the number of classes , 2007, 0708.2153.

[3]  Anne Chao,et al.  An overview of closed capture-recapture models , 2001 .

[4]  A. Chao,et al.  APPLICATION OF LAPLACE'S BOUNDARY‐MODE APPROXIMATIONS TO ESTIMATE SPECIES AND SHARED SPECIES RICHNESS , 2006 .

[5]  A Chao,et al.  Estimating population size via sample coverage for closed capture-recapture models. , 1994, Biometrics.

[6]  L. Fialkow,et al.  RECURSIVENESS, POSITIVITY, AND TRUNCATED , 1991 .

[7]  C. Mao LOWER BOUNDS TO THE POPULATION SIZE WHEN CAPTURE PROBABILITIES VARY OVER INDIVIDUALS , 2008 .

[8]  Dankmar Böhning,et al.  Asymptotic Normality in Mixtures of Power Series Distributions , 2005 .

[9]  J. Norris,et al.  NONPARAMETRIC MLE UNDER TWO CLOSED CAPTURE-RECAPTURE MODELS WITH HETEROGENEITY , 1996 .

[10]  K. Burnham,et al.  Estimation of the size of a closed population when capture probabilities vary among animals , 1978 .

[11]  Robert K. Colwell,et al.  Estimating the Species Accumulation Curve Using Mixtures , 2005, Biometrics.

[12]  B. Lindsay The Geometry of Mixture Likelihoods: A General Theory , 1983 .

[13]  K. Roeder,et al.  A Unified Treatment of Integer Parameter Models , 1987 .

[14]  W. Link Nonidentifiability of Population Size from Capture‐Recapture Data with Heterogeneous Detection Probabilities , 2003, Biometrics.

[15]  B. Lindsay,et al.  DIAGNOSTICS FOR THE HOMOGENEITY OF INCLUSION PROBABILITIES IN A BERNOULLI CENSUS , 2002 .