不完全報告を含む標識実験における推定問題について Estimation Problem on a Tagging Experiment Including Incomplete Reports

この論文にアクセスする

この論文をさがす

著者

抄録

The estimation of population size by a tagging experiment including incomplete reports of the number of recaptured tagged fishes is considered. It is assumed that the sample is classified into two classes. In class 1 the reporting rate of recaptured tagged fish is 1, and in class 2 the rate may be less than 1. In this case the Petersen estimator and the Chapman type estimator based on the observation in class 1 (CTE) have been proposed, although large sample in class 1 is not expected. In this paper, we examine the effects of the observation in class 2 as additional information for the estimation of population size. Some estimators which include the observations in both classes, such as the modified maximum likelihood estimator (MMLE), are evaluated in senses of the bias and the mean squared error. As a result, if the sample size in class 1 is small and true reporting rate is high, then the MMLE is preferable to the CTE. In the other case, however, the CTE is superior to the estimators based on the observations in both classes.

収録刊行物

  • 日本水産学会誌  

    日本水産学会誌 64(5), 775-781, 1998-09-15 

    日本水産學會

参考文献:  11件

参考文献を見るにはログインが必要です。ユーザIDをお持ちでない方は新規登録してください。

各種コード

  • NII論文ID(NAID)
    10004854124
  • NII書誌ID(NCID)
    AN00193422
  • 本文言語コード
    JPN
  • 資料種別
    ART
  • ISSN
    00215392
  • NDL 記事登録ID
    4572522
  • NDL 雑誌分類
    ZR26(科学技術--農林水産--水産)
  • NDL 請求記号
    Z18-345
  • データ提供元
    CJP書誌  NDL  IR  J-STAGE 
ページトップへ