Nonparametric Methods for Line Transect Surveys in the Presence of Measurement Errors
學年 102
學期 2
出版(發表)日期 2014-06-01
作品名稱 Nonparametric Methods for Line Transect Surveys in the Presence of Measurement Errors
作品名稱(其他語言)
著者 Fei-Yin Chen; Lu-Fang Chen; Wen-Han Hwang; Yih-Huei Huang
單位
出版者
著錄名稱、卷期、頁數 淡江理工學刊 17(2),頁131-140
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.
關鍵字 Animal Density;Line Transect;Measurement Error;Point Transect;Kernel Smoothing
語言 en_US
ISSN 1560-6686
期刊性質 國內
收錄於
產學合作
通訊作者
審稿制度
國別 TWN
公開徵稿
出版型式 ,電子版,紙本
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/107627 )