جستجوی مقالات مرتبط با کلیدواژه "line transect sampling" در نشریات گروه "آمار"

In this article, we wish to find and select appropriate estimators for statistical population density function using line transect sampling in the present of detection functions with light and heavy tailed distributions. Also it is shown that how the type of detection function could be effective in selection of the best estimator and then we propose a unbiased estimators that has the lower variance than the existed estimators. the simulation results show that if detection functions have heavy tailed distribution, then the new estimators have least mean square error.

Line transect sampling is a very helpful method for estimating the density function of population in biology. In this paper, first the line transect sampling is introduced and then parametric hypothesis testing for half normal density function against univariate exponential density function in line transect sampling was considered.
The test statistics is obtained using likelihood ratio method. Computing the null distribution of test statistic and its critical values is not easy because of the complexity of test statistic structure, therefore Monte carlo simulation was used for finding the critical values of test statistic at different significance levels. This problem of testing was investigated with numerical examples.