A double kernel method as an alternative to the classical kernel
method is proposed to estimate the population abundance by using line transect
sampling. The proposed method produces an estimator that is essentially
a kernel type of estimator use the kernel estimator twice to improve the performances
of the classical kernel estimator. The feasibility of using bootstrap
techniques to estimate the bias and variance of the proposed estimator is also
addressed. Some numerical examples based on simulated and real data are
presented. The results show that the proposed estimator outperforms existing
classical kernel estimator in most considered cases.