A heteroscedastic measurement error model based on skew and heavy-tailed distributions with known error variances-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A heteroscedastic measurement error model based on skew and heavy-tailed distributions with known error variances

Published:2018-03-21 Issue:11 Volume:88 Page:2185-2200
ISSN:0094-9655
Container-title:Journal of Statistical Computation and Simulation
language:en
Short-container-title:Journal of Statistical Computation and Simulation

Author:

Tomaya Lorena Cáceres¹,de Castro Mário¹^ORCID

Affiliation:

1. Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo, São Carlos, SP, Brasil

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Informa UK Limited

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,Modelling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/00949655.2018.1452925

Reference30 articles.

1. Measurement Error Models

2. Measurement Error in Nonlinear Models

3. Measurement Error

4. On Estimating Linear Relationships When Both Variables Are Subject to Heteroscedastic Measurement Errors

Cited by 32 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A new logarithmic multiplicative distortion for correlation analysis;Statistical Analysis and Data Mining: The ASA Data Science Journal;2024-08

2. Analyzing method comparison data with skew-normal measurement error models: incorporating generalized scale mixtures and varying degrees of freedom;Communications in Statistics - Simulation and Computation;2024-06-24

3. Testing distribution for multiplicative distortion measurement errors;Communications in Statistics - Theory and Methods;2024-05-06

4. A revisit to Pearson correlation coefficient under multiplicative distortions;Communications in Statistics - Simulation and Computation;2024-04-02

5. Checking normality of model errors under additive distortion measurement errors;Journal of Nonparametric Statistics;2024-03-05

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3