淡江大學機構典藏:Item 987654321/107627
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    题名: Nonparametric Methods for Line Transect Surveys in the Presence of Measurement Errors
    作者: Fei-Yin Chen;Lu-Fang Chen;Wen-Han Hwang;Yih-Huei Huang
    关键词: Animal Density;Line Transect;Measurement Error;Point Transect;Kernel Smoothing
    日期: 2014-06
    上传时间: 2016-10-05 02:10:30 (UTC+8)
    摘要: We consider the estimation of animal density by distance sampling line transect survey when the data of sighting distances are contaminated with measurement errors. The presence of measurement errors may result in a substantial bias on the estimation of animal density. This study investigates the effects of measurement errors while applying the nonparametric kernel density estimation. With regards to the typical additive and a general multiplicative measurement error models, we accordingly develop corrections to adjust the biases caused by measurement errors. A simulation study was carried out for comparing with other parametric approaches. An extension to the distance sampling point transect surveys is addressed as well.
    關聯: 淡江理工學刊 17(2)，頁131-140
    DOI: 10.6180/jase.2014.17.2.04
    显示于类别:[數學學系暨研究所] 期刊論文

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