@inbook{4438906fdb4446a7899c093fe86c8e4b,
title = "REGRESSION MODELING BASED ON A PEER GROUP FOR THE EXECUTIVE COMPENSATION OF AT&T CEO",
abstract = "This chapter concerns itself with the development of a regression model for determining the executive compensation of the AT&T CEO. The data observations for this model consist of a list of 21 comparable companies selected by the compensation committee of AT&T, its institutional investors, and AT&T advisors. A set of 24 financial variables for each of the companies is compiled as the data source for the regression model.",
keywords = "K-means, Regression, cluster analysis, compensation, modeling, stepwise",
author = "Klimberg, {Ronald K.} and Lawrence, {Kenneth D.} and Lawrence, {Sheila M.}",
note = "Publisher Copyright: {\textcopyright} 2019 by Emerald Publishing Limited All rights of reproduction in any form reserved.",
year = "2019",
doi = "10.1108/S1477-407020190000013013",
language = "English (US)",
series = "Advances in Business and Management Forecasting",
publisher = "Emerald Publishing",
pages = "115--120",
booktitle = "Advances in Business and Management Forecasting",
}