期刊
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
卷 36, 期 6, 页码 1233-1246出版社
TAYLOR & FRANCIS INC
DOI: 10.1080/03610910701569531
关键词
bootstrap; jackknife; movement; residence; social structure
The lagged identification rate is the probability of identifying an individual given its identification some time lag earlier. The lagged association rate is the probability that two individuals are associated given their association some time lag earlier. Models of lagged identification and association rates fit by maximizing the sums of non independent log-likelihoods have approximately unbiased parameter estimates. Simulations suggest that: Akaike-Information-Criterion often selects the true model of lagged identification rate data; quasi-Akaike-Information-Criterion performs better for lagged association rates; and confidence intervals for parameters are best obtained by bootstrap methods for lagged identification rates and quasi-likelihood or jackknife methods for lagged association rates.
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