University of Bahrain
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Analysis of Total Differences with Application to Productivity Improvement

Show simple item record Elamir, Elsayed A. H. 2018-07-31T08:55:36Z 2018-07-31T08:55:36Z 2015
dc.identifier.issn 2384-4787
dc.description.abstract One way analysis of Gini’s mean difference (ANOMD) about mean and median is derived where the total sum of differences is partition into exact between sum of differences and exact within sum of differences. ANOMD has advantages: ensures stability in statistical inferences; has flexibility to test for any location measure and total sum difference does not depend on any fixed location. However, the variance-gamma distribution is used to fit the sampling distributions of between sum differences and within sum differences. Consequently, two tests of equal population medians and means are introduced under the assumption of the normal distribution. Moreover, two measures of effect sizes are re-defined and studied in terms of ANOMD. The ANOMD model is applied to productivity improvement data and it is found that the percentage of explained variation given by ANOMD is more than the percentage given by ANOVA. en_US
dc.language.iso en en_US
dc.publisher University of Bahrain en_US
dc.rights Attribution-NonCommercial-ShareAlike 4.0 International *
dc.rights.uri *
dc.subject ANOVA
dc.subject Effect sizes
dc.subject L-moments
dc.subject Variance-gamma distribution
dc.title Analysis of Total Differences with Application to Productivity Improvement en_US
dc.type Article en_US
dc.volume 02
dc.issue 02
dc.source.title Journal of Empirical Research in Accounting & Auditing
dc.abbreviatedsourcetitle JERAA

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