The Estimation of Population Parameters from Data Obtained by Means of the Capture-Recapture Method: I. The Maximum Likelihood Equations for Estimating The Death-Rate

Biometrika ◽  
1951 ◽  
Vol 38 (3/4) ◽  
pp. 269 ◽  
Author(s):  
P. H. Leslie ◽  
Dennis Chitty
Keyword(s):  
Maximum Likelihood ◽  
Death Rate ◽  
Population Parameters ◽  
Capture Recapture

Classification Based on Multivariate Repeated Measures with Time Effect on Mean Vector and an AR (1) Correlation Structure on the Repeated Measures

2005 ◽  
Vol 57 (1-2) ◽  
pp. 49-66 ◽  
Author(s):  
Anuradba Roy ◽  
Ravindra Khattree
Keyword(s):  
Maximum Likelihood ◽  
Repeated Measures ◽  
Likelihood Estimation ◽  
Covariance Matrices ◽  
Time Effect ◽  
Population Parameters ◽  
Time Effects ◽  
Mean Vectors ◽  
Mean Vector ◽  
Over Time

In repeated measures studies how observations change over time is often of prime interest. Modelling this time effect in the context of discrimination, is the objective of this article. We study the problem of classification with multiple q-variate observations with time effect on each individual. The covariance matrices as well as mean vectors are mordelled respectively to accommodate the correlation between the successive repeated measures and to describe the time effects. Computation schemes for maximum likelihood estimation of required population parameters are provided.

Short Communication: Estimating abundance, survival and age structure of the Alberes cattle using recapture techniques

2011 ◽  
Vol 91 (3) ◽  
pp. 343-347
Author(s):  
Marta Fina ◽  
Joaquim Casellas ◽  
Jesús Piedrafita
Keyword(s):  
Overall Survival ◽  
Genetic Variability ◽  
Age Structure ◽  
Death Rate ◽  
Short Communication ◽  
Average Length ◽  
Local Breed ◽  
Capture Recapture ◽  
Average Longevity

Fina, M., Casellas, J. and Piedrafita, J. 2011. Short Communication: Estimating abundance, survival and age structure of the Alberes cattle using recapture techniques. Can. J. Anim. Sci. 91: 343–347. The Alberes breed is an endangered bovine breed with an unknown population size. In this study, we estimated a total of 447.9 (435.5 to 456.6) individuals using capture-recapture methods. Overall survival and recapture estimates were 0.85±0.01 and 0.94±0.01, respectively, leading to an average longevity of 5.64 yr and with the highest death rate concentrated in the first 3 yr of life (38.94%). For breeding cows, the average length of the productive life was 8.35 yr. The current population of this local breed is too small to prevent future losses of genetic variability, and a conservation program is essential to ensure the long-term viability of the breed.

scholarly journals Open population maximum likelihood spatial capture‐recapture

Biometrics ◽  
2019 ◽  
Vol 75 (4) ◽  
pp. 1345-1355 ◽  
Author(s):  
Richard Glennie ◽  
David L. Borchers ◽  
Matthew Murchie ◽  
Bart J. Harmsen ◽  
Rebecca J. Foster
Keyword(s):  
Maximum Likelihood ◽  
Open Population ◽  
Capture Recapture ◽  
Population Maximum

A note on identifiability and maximum likelihood estimation for a heterogeneous capture-recapture model

2019 ◽  
Vol 49 (21) ◽  
pp. 5273-5293
Author(s):  
George Lucas Moraes Pezzott ◽  
Luis Ernesto Bueno Salasar ◽  
José Galvão Leite ◽  
Francisco Louzada-Neto
Keyword(s):  
Maximum Likelihood ◽  
Maximum Likelihood Estimation ◽  
Likelihood Estimation ◽  
Capture Recapture

scholarly journals ESTIMATING THE RATE OF DEFECTS UNDER IMPERFECT SAMPLING INSPECTION—A NEW APPROACH

2019 ◽  
pp. 1-16
Author(s):  
Tamar Gadrich ◽  
Guy Katriel
Keyword(s):  
Maximum Likelihood ◽  
New Approach ◽  
Systematic Comparison ◽  
Sampling Inspection ◽  
Capture Recapture ◽  
The Moment ◽  
Ml Estimator

AbstractWe consider the problem of estimating the rate of defects (mean number of defects per item), given the counts of defects detected by two independent imperfect inspectors on one sample of items. In contrast with the setting for the well-known method of Capture–Recapture, we do not have information regarding the number of defects jointly detected by both inspectors. We solve this problem by constructing two types of estimators—a simple moment-type estimator, and a complicated maximum-likelihood (ML) estimator. The performance of these estimators is studied analytically and by means of simulations. It is shown that the ML estimator is superior to the moment-type estimator. A systematic comparison with the Capture–Recapture method is also made.

Sign in / Sign up

Export Citation Format

Share Document