Title: Linear models based on business data from the pharmaceutical industry
Authors: Říha, David
Stros, Michael
Citation: Trendy v podnikání = Business trends : vědecký časopis Fakulty ekonomické ZČU v Plzni. 2018, č. 1, roč. 8, s. 45-55.
Issue Date: 2018
Publisher: Západočeská univerzita v Plzni
Document type: článek
URI: http://hdl.handle.net/11025/31019
ISSN: 1805-0603
Keywords: analýza podnikových dat;heterogenní datový set;hierarchický lineární model;vícenásobná regrese
Keywords in different language: business data analysis;heterogeneous data set;hierarchical linear model;multiple regression
Abstract in different language: This article describes the analysis of heterogeneous market data. For this purpose, the most relevant methodological aspects are discussed and analyses using a hierarchical linear model and multiple regression are presented. In the first step, the applied data set is presented, and the assumed hierarchical two-level structure is shown. The data are then prepared for the analysis. The data are checked for outliers, a multicollinearity check is conducted, a new variable introduced, missing values are replaced by estimated values, a transformation procedure is conducted in order to obtain normality, the data are aggregated for each hierarchical level and a sample size test is performed. The results of both methods are discussed. Finally, it is concluded that whereas the application of a hierarchical linear model appears to be one option, a multiple regression analysis can be employed instead if the quality of the data, especially the sample size, is not sufficient.
Rights: © Západočeská univerzita v Plzni
Appears in Collections:Číslo 1 (2018)
Číslo 1 (2018)

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