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:: Volume 12, Issue 2 (3-2019) ::
JSS 2019, 12(2): 365-383 Back to browse issues page
Estimation of Population Density Function in Line Transect Sampling Method with Detection Functions
Abouzar Bazyari * , Narges Mousavi
Abstract:   (6151 Views)

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.

Keywords: Detection Function, Line Transect Sampling, Mean Square Error, Relative Efficiency
Full-Text [PDF 296 kb]   (1614 Downloads)    
Type of Study: Research | Subject: Statistical Inference
Received: 2017/04/4 | Accepted: 2018/03/1 | Published: 2018/04/15
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Bazyari A, Mousavi N. Estimation of Population Density Function in Line Transect Sampling Method with Detection Functions. JSS 2019; 12 (2) :365-383
URL: http://jss.irstat.ir/article-1-535-en.html


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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 12, Issue 2 (3-2019) Back to browse issues page
مجله علوم آماری – نشریه علمی پژوهشی انجمن آمار ایران Journal of Statistical Sciences

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