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This article examines statistical models to estimate the natural mortality rate, the sighting rate, and the dispersion parameter of released seeds from sighting survey data. Besides the multinomial and the log linear models already proposed, three additional models of a revised multinomial, a conditional binomial, and a weighted least squares type model are considered. The properties of these five models were examined by means of simulations. A total of 100 sets of simulated sighting data were generated, and point estimates were obtained by the five models for each data set, respectively. Mean values and SDs of the point estimates for the 100 simulations for the five models were then compared. The weighted least squares type model gave the best estimates among the five statistical models. Although the original log linear model underestimated the dispersion parameter, the model with a revised weight accurately estimated all parameters.

Examination on Statistical Models to Estimate the Mortality Rate of Released Seeds from Sighting Survey Data.