A note on iterative AK composite estimator for Current Population Survey

Yang Cheng; Bo Huang; Zhou Yu

doi:10.1080/10485252.2017.1303064

A note on iterative AK composite estimator for Current Population Survey

Yang Cheng
, Bo Huang^*
, Zhou Yu

^*此作品的通讯作者

统计学院

U.S. Census Bureau
School of Finance

科研成果: 期刊稿件 › 文章 › 同行评审

摘要

In this article, we introduce the iterative AK composite estimator for the Current Population Survey. This estimator adopts the AK composite estimator as the initial value and further makes good use of the intrinsic composite scheme of the AK composite estimator. We derive the mean squared error (MSE) formula for the iterative composite estimator and describe how to select the optimal tuning coefficients by minimising the MSE. Finally, we examine the proposed method through a simulation study.

源语言	英语
页（从-至）	381-390
页数	10
期刊	Journal of Nonparametric Statistics
卷	29
期	2
DOI	https://doi.org/10.1080/10485252.2017.1303064
出版状态	已出版 - 3 4月 2017

访问文件

10.1080/10485252.2017.1303064

其它文件与链接

链接到 Scopus 的出版物

引用此

@article{d5db7682392c40bd9b746e75d22fce4d,

title = "A note on iterative AK composite estimator for Current Population Survey",

abstract = "In this article, we introduce the iterative AK composite estimator for the Current Population Survey. This estimator adopts the AK composite estimator as the initial value and further makes good use of the intrinsic composite scheme of the AK composite estimator. We derive the mean squared error (MSE) formula for the iterative composite estimator and describe how to select the optimal tuning coefficients by minimising the MSE. Finally, we examine the proposed method through a simulation study.",

keywords = "AK composite estimator, Current Population Survey, iterative estimation, mean squared error",

author = "Yang Cheng and Bo Huang and Zhou Yu",

note = "Publisher Copyright: {\textcopyright} 2017, {\textcopyright} American Statistical Association and Taylor \& Francis 2017.",

year = "2017",

month = apr,

day = "3",

doi = "10.1080/10485252.2017.1303064",

language = "英语",

volume = "29",

pages = "381--390",

journal = "Journal of Nonparametric Statistics",

issn = "1048-5252",

publisher = "Taylor and Francis Ltd.",

number = "2",

}

TY - JOUR

T1 - A note on iterative AK composite estimator for Current Population Survey

AU - Cheng, Yang

AU - Huang, Bo

AU - Yu, Zhou

PY - 2017/4/3

Y1 - 2017/4/3

N2 - In this article, we introduce the iterative AK composite estimator for the Current Population Survey. This estimator adopts the AK composite estimator as the initial value and further makes good use of the intrinsic composite scheme of the AK composite estimator. We derive the mean squared error (MSE) formula for the iterative composite estimator and describe how to select the optimal tuning coefficients by minimising the MSE. Finally, we examine the proposed method through a simulation study.

AB - In this article, we introduce the iterative AK composite estimator for the Current Population Survey. This estimator adopts the AK composite estimator as the initial value and further makes good use of the intrinsic composite scheme of the AK composite estimator. We derive the mean squared error (MSE) formula for the iterative composite estimator and describe how to select the optimal tuning coefficients by minimising the MSE. Finally, we examine the proposed method through a simulation study.

KW - AK composite estimator

KW - Current Population Survey

KW - iterative estimation

KW - mean squared error

UR - https://www.scopus.com/pages/publications/85016041267

U2 - 10.1080/10485252.2017.1303064

DO - 10.1080/10485252.2017.1303064

M3 - 文章

AN - SCOPUS:85016041267

SN - 1048-5252

VL - 29

SP - 381

EP - 390

JO - Journal of Nonparametric Statistics

JF - Journal of Nonparametric Statistics

IS - 2

ER -

A note on iterative AK composite estimator for Current Population Survey

摘要

访问文件

其它文件与链接

指纹

引用此