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Maximum Empirical Likelihood Estimation In A Heteroscedastic Linear Regression ModelWith Possibly Missing Responses Cover

Maximum Empirical Likelihood Estimation In A Heteroscedastic Linear Regression ModelWith Possibly Missing Responses

By:  and    
Open Access
|Dec 2014

Authors

Anton Schick

anton@math.binghamton.edu

Department of Mathematical Sciences, Binghamton University, Binghamton, New York,

Yilin Zhu

anton@math.binghamton.edu

Department of Mathematical Sciences, Binghamton University, Binghamton, New York,
Language: English
Page range: 209 - 226
Published on: Dec 15, 2014
Published by: The Institute of Applied Statistics, Sri Lanka
In partnership with: Paradigm Publishing Services

© 2014 Anton Schick, Yilin Zhu, published by The Institute of Applied Statistics, Sri Lanka
This work is licensed under the Creative Commons License.