Density estimation in line transect sampling with grouped data by local least squares

被引：2
|
作者：
Barabesi, L [1 ]
Greco, L [1 ]
Naddeo, S [1 ]
机构：
[1] Univ Siena, Dipartimento Merodi Quantitat, I-53100 Siena, Italy
来源：
ENVIRONMETRICS | 2002年 / 13卷 / 02期
关键词：
distance sampling; line transect methods; grouped data; local least squares;
D O I：
10.1002/env.524
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
A semiparametric estimator for animal density in distance sampling is proposed when grouped data are on hand. The estimation technique is based on a kernel-smoothed local least-square criterion function. suitably developed for this setting. The ne v method presents interesting theoretical properties and it produces accurate and robust estimators. as is shown in a Monte Carlo Study. Copyright (C) 2002 John Wiley Sons. Ltd.
引用
收藏
页码：167 / 176
页数：10
相关论文
共 50 条
  • [41] Penalized least squares estimation with weakly dependent data
    Fan JianQing
    Qi Lei
    Tong Xin
    SCIENCE CHINA-MATHEMATICS, 2016, 59 (12) : 2335 - 2354
  • [42] ON CONSTRAINED LEAST-SQUARES ESTIMATION WITH DISTORTED DATA
    Frank, Luis
    CUADERNOS DEL CIMBAGE, 2018, 20 (02): : 27 - 38
  • [43] Penalized least squares estimation with weakly dependent data
    FAN JianQing
    QI Lei
    TONG Xin
    Science China Mathematics, 2016, 59 (12) : 2335 - 2354
  • [44] Weighted least squares estimation for exchangeable binary data
    Bowman, Dale
    George, E. Olusegun
    COMPUTATIONAL STATISTICS, 2017, 32 (04) : 1747 - 1765
  • [45] Weighted least squares estimation for exchangeable binary data
    Dale Bowman
    E. Olusegun George
    Computational Statistics, 2017, 32 : 1747 - 1765
  • [46] Efficient Least-Squares State Estimation Using Uniform Sampling
    Vafaee, Reza
    Siami, Milad
    IFAC PAPERSONLINE, 2023, 56 (02): : 2419 - 2424
  • [47] Missing value estimation for DNA microarray gene expression data: local least squares imputation
    Kim, H
    Golub, GH
    Park, H
    BIOINFORMATICS, 2005, 21 (02) : 187 - 198
  • [48] Penalized least squares estimation with weakly dependent data
    JianQing Fan
    Lei Qi
    Xin Tong
    Science China Mathematics, 2016, 59 : 2335 - 2354
  • [49] Least squares estimation of a k-monotone density function
    Chee, Chew-Seng
    Wang, Yong
    COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2014, 74 : 209 - 216
  • [50] Constrained Least-Squares Density-Difference Estimation
    Tuan Duong Nguyen
    Du Plessis, Marthinus Christoffel
    Kanamori, Takafumi
    Sugiyama, Masashi
    IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2014, E97D (07) : 1822 - 1829
12345