| 对于测线调查样本的生物分布密度推定的几种方法的比较研究 |
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| 引用本文： | 熊国经,熊权.对于测线调查样本的生物分布密度推定的几种方法的比较研究[J].江西教育学院学报,2004,25(6):6-9. |
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| 作者姓名： | 熊国经 熊权 |
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| 作者单位： | 1. 国立冈山大学环境理工学院,日本,冈山,700-8530
2. 南昌保险学校,江西,南昌,330002 |
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| 摘 要： | 用几种不同的密度推定法,对测线调查样本进行密度推定。使用的最佳带幅宽有的依赖于探知函数,有的不依赖探知函数,还用到经典的最大似然估计法。把5种密度推定法用于计算机模拟产生测线调查的距离数据,由统计量RRMSE和RB对推定值进行评价,来验证其优劣。
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| 关 键 词： | 测线调查样本 探知函数 光滑性 相对根平均平方误差 相对偏 LSCV法 |
| 文章编号： | 1005-3638(2004)06-0006-04 |
| 修稿时间： | 2004年8月12日 |
Comparative Research of Several Kinds of Methods on Density Estimate for Biological Population by Line Transect Sampling |
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| XIONG Guo-jing,XIONG Quan.Comparative Research of Several Kinds of Methods on Density Estimate for Biological Population by Line Transect Sampling[J].Journal of Jiangxi Institute of Education,2004,25(6):6-9. |
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| Authors: | XIONG Guo-jing XIONG Quan |
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| Institution: | XIONG Guo-jing~1,XIONG Quan~2 |
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| Abstract: | In this paper, we use several kinds of density estimate, carry on density estimate to line transect sampling of computer simulation. Some of optimal bandwidths used depends on detection function, some do not rely on detection function, still use classic ground Maximum Likelihood estimate. We produce distance data of the line transect to imitate with 5 density estimations, RRMSE and RB are used to appraise the estimate value and verify their quality. |
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| Keywords: | line transect sampling detection function smoothing relative root mean square error relative bias Least Squares Cross Validation |
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