FOURIER SERIES ESTIMATION FOR LENGTH BIASED DATA
FOURIER SERIES ESTIMATION FOR LENGTH BIASED DATA
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长度偏差数据的傅立叶级数估计
DOI：
10.1111/j.1467-842x.1997.tb00523.x
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发表时间：
1997
影响因子：
1.1
通讯作者：
R. Karunamuni
中科院分区：
文献类型：
--
作者：
M. C. Jones;R. Karunamuni
本文提出并研究了长度偏置数据的傅里叶级数估计量。特别地，基于Jones(1991)和Bhattacharyya等人的思想，构造并研究了两个傅立叶级数估计量。(1988)在核密度估计的情况下。给出了均方误差和积分均方误差的近似表达式，并进行了比较，给出了仿真算例。基于Jones建议的傅里叶级数估计器似乎具有两者更理想的性质。论文最后提出了一些评论，将这项工作置于更广泛的背景下。
This paper proposes and investigates Fourier series estimators for length biased data. Specifically, two Fourier series estimators are constructed and studied based on ideas of Jones (1991) and Bhattacharyya et al. (1988) in the case of kernel density estimation. Approximate expressions for mean squared errors and integrated mean squared errors are obtained and compared, and some simulated examples are investigated. The Fourier series estimator based on the proposal of Jones seems to have the more desirable properties of the two. The paper concludes with some comments that put this work in a wider context.
影响因子：
4.5
作者：
N. Hjort;M. C. Jones
通讯作者：
N. Hjort;M. C. Jones