caa a22 4500 475762452 CHVBK 20180406123555.0 cr unu---uuuuu 170329e20000901xx s 000 0 eng 10.1023/A:1009623301208 doi (NATIONALLICENCE)springer-10.1023/A:1009623301208 Chen Song Department of Statistics and Applied Probability, National University of Singapore, 117543, Singapore aut Animal abundance estimation in independent observer line transect surveys [Elektronische Daten] [Song Chen] The theory of conventional line transect surveys is based on an essential assumption that 100% detection of animals right on the transect lines can be achieved. When this assumption fails, independent observer line transect surveys are used. This paper proposes a general approach, based on a conditional likelihood, which can be carried out either parametrically or nonparametrically, to estimate the abundance of non-clustered biological populations using data collected from independent observer line transect surveys. A nonparametric estimator is specifically proposed which combines the conditional likelihood and the kernel smoothing method. It has the advantage that it allows the data themselves to dictate the form of the detection function, free of any subjective choice. The bias and the variance of the nonparametric estimator are given. Its asymptotic normality is established which enables construction of confidence intervals. A simulation study shows that the proposed estimator has good empirical performance, and the confidence intervals have good coverage accuracy. Kluwer Academic Publishers, 2000 conditional likelihood nationallicence line transect survey nationallicence kernel smoothing nationallicence Environmental and Ecological Statistics Kluwer Academic Publishers 7/3(2000-09-01), 285-299 1352-8505 7:3<285 2000 7 10651 https://doi.org/10.1023/A:1009623301208 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1023/A:1009623301208 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Chen Song Department of Statistics and Applied Probability, National University of Singapore, 117543, Singapore aut NATIONALLICENCE 773 0- Environmental and Ecological Statistics Kluwer Academic Publishers 7/3(2000-09-01), 285-299 1352-8505 7:3<285 2000 7 10651 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer