Journal of Biometrics & Biostatistics

ISSN: 2155-6180

Open Access

Size and Power Properties of Some Test Statistics for Testing the Population Correlation Coefficient ├?┬Ć├?┬ü


Shipra Banik and Golam Kibria BM

Correlation measures the strength of association between two variables, which plays an important role in various fields, such as Health Science, Economics, Finance, Engineering, Environmental science among others. Several tests for testing the population correlation coefficient are proposed in a literature by various researchers at different time points. This paper evaluates the performance of some of the prominent test statistics for testing the population correlation coefficient based on empirical size and power of the tests. Some bivariate distributions, such as normal, lognormal, gamma and chi-square are considered to compare the performance of the test statistics. We believe that the findings of this paper will make an important contribution to select some good test statistics to find the relationship between two variables.


Share this article

Google Scholar citation report
Citations: 2835

Journal of Biometrics & Biostatistics received 2835 citations as per Google Scholar report

Journal of Biometrics & Biostatistics peer review process verified at publons

Indexed In

arrow_upward arrow_upward