Analysis of total differences with application to productivity improvement
Author
Source
Journal of Empirical Research in Accounting & Auditing
Issue
Vol. 2, Issue 2 (31 Oct. 2015), pp.149-161, 13 p.
Publisher
University of Bahrain Deanship of Graduate Studies and Scientific Research
Publication Date
2015-10-31
Country of Publication
Bahrain
No. of Pages
13
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
al-Amir, al-Sayyid A. H.. 2015. Analysis of total differences with application to productivity improvement. Journal of Empirical Research in Accounting & Auditing،Vol. 2, no. 2, pp.149-161.
https://search.emarefa.net/detail/BIM-820232
Modern Language Association (MLA)
al-Amir, al-Sayyid A. H.. Analysis of total differences with application to productivity improvement. Journal of Empirical Research in Accounting & Auditing Vol. 2, no. 2 (Oct. 2015), pp.149-161.
https://search.emarefa.net/detail/BIM-820232
American Medical Association (AMA)
al-Amir, al-Sayyid A. H.. Analysis of total differences with application to productivity improvement. Journal of Empirical Research in Accounting & Auditing. 2015. Vol. 2, no. 2, pp.149-161.
https://search.emarefa.net/detail/BIM-820232
Data Type
Journal Articles
Language
English
Notes
Record ID
BIM-820232