Performance of some parametric test statistics for testing the difference of means of two skewed populations

Author

Banik, Shipra ; Golam Kibria, B.M.

Author_Institution

Sch. of Eng. & Comput. Sci., Indep. Univ., Dhaka, Bangladesh

fYear

2014

fDate

8-10 March 2014

Firstpage

396

Lastpage

401

Abstract

Right skewed data is available in the field of health science, biological science, epidemiological science and others. This paper assessed some existing procedures for testing the difference of means of two right skewed populations. A Monte Carlo simulation study has been conducted to compare the performance of the test statistics in the sense of empirical size and power of the selected tests. Based on the simulation study results, some good test statistics are recommended for practitioners. A real life health related example has been considered to illustrate the application of the techniques.

Keywords

Monte Carlo methods; data analysis; health care; statistical distributions; statistical testing; Monte Carlo simulation study; biological science; difference of means testing; epidemiological science; health science; parametric test statistics; right skewed data; right skewed population; Biological system modeling; Computers; Information technology; Sociology; Standards; Statistics; Testing; Polymorphism; Power; Primary hypertension patients; Right skewed; Simulation; Size of the test; Statistical Inference;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer and Information Technology (ICCIT), 2013 16th International Conference on

Conference_Location

Khulna

Type

conf

DOI

10.1109/ICCITechn.2014.6997318

Filename

6997318