@Article{CMR-29-3,
author = {Zhang, Song and Wang, Dehui},
title = {Efficient Mean Estimation in Log-Normal Linear Models with First-Order Correlated Errors},
journal = {Communications in Mathematical Research },
year = {2013},
volume = {29},
number = {3},
pages = {271--279},
abstract = {<p style="text-align: justify;">In this paper, we propose a log-normal linear model whose errors are
first-order correlated, and suggest a two-stage method for the efficient estimation of
the conditional mean of the response variable at the original scale. We obtain two
estimators which minimize the asymptotic mean squared error (MM) and the asymptotic bias (MB), respectively. Both the estimators are very easy to implement, and
simulation studies show that they are perform better.</p>},
issn = {2707-8523},
doi = {https://doi.org/2013-CMR-19010},
url = {https://global-sci.com/article/81799/efficient-mean-estimation-in-log-normal-linear-models-with-first-order-correlated-errors}
}