Mathematics and Statistics Vol. 5(1), pp. 1 - 4
DOI: 10.13189/ms.2017.050101
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A Weighted Exponential Model for Grouped Line Transect Data

Fahid Al Eibood ¹, Omar Eidous ^2,*
1 Department of Statistics, Faculty of Science, King Abdulaziz University, Saudi Arabia
² Department of Statistics, Faculty of Science, Yarmouk University, Jordan

ABSTRACT

This paper considers a parametric model for grouped data collected via line transect technique. The weighted exponential model is studied and investigated when the data are assumed to be grouped in the intervals. The maximum likelihood method is adopted for purpose of estimation. The resultant estimator of the population abundance is compared with the corresponding estimator that developed for ungrouped data by using the Laake stakes real data.

KEYWORDS
Weighted Exponential, Line Transect Sampling, Shoulder Condition, Grouped Data, Maximum Likelihood Estimator

Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Fahid Al Eibood , Omar Eidous , "A Weighted Exponential Model for Grouped Line Transect Data," Mathematics and Statistics, Vol. 5, No. 1, pp. 1 - 4, 2017. DOI: 10.13189/ms.2017.050101.

(b). APA Format:
Fahid Al Eibood , Omar Eidous (2017). A Weighted Exponential Model for Grouped Line Transect Data. Mathematics and Statistics, 5(1), 1 - 4. DOI: 10.13189/ms.2017.050101.