A minimum projected-distance test for parametric single-index Berkson models-Reference-Cited by-同舟云学术

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A minimum projected-distance test for parametric single-index Berkson models

Published:2017-11-06 Issue:3 Volume:27 Page:700-715
ISSN:1133-0686
Container-title:TEST
language:en
Short-container-title:TEST

Author:

Xie Chuanlong,Zhu Lixing

Funder

National Natural Science Foundation of China

Hong Kong Baptist University

Research Council of Hong Kong

Publisher

Springer Science and Business Media LLC

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

http://link.springer.com/article/10.1007/s11749-017-0568-9/fulltext.html

Reference33 articles.

1. Berkson J (1950) Are there two regressions? J Am Stat Assoc 45:164–180

2. Carroll RJ, Ruppert D, Stefanski LA, Crainiceanu CM (2006) Measurement error in nonlinear models: a modern perspective. CRC Press, Boca Raton

3. Cheng CL, Van Ness JW (1999) Statistical regression with measurement error. Arnold, London

4. Cook RD (1998) Regression graphics: ideas for studying regressions through graphics. Wiley, New York

5. Cook RD, Li B (2002) Dimension reduction for conditional mean in regression. Ann Stat 30:455–474

Cited by 2 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. Nonlinear regression models with single‐index heteroscedasticity;Statistica Neerlandica;2019-02-20

2. Detection of marginal heteroscedasticity for partial linear single-index models;Communications in Statistics - Simulation and Computation;2019-02-18

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