Skip to main content
Article
Estimating and testing the significance of correlation coefficient obtained from truncated bivariate normal distribution
Journal of Interdisciplinary Mathematics
  • Shailendra Singh, Indian Institute of Management, Lucknow
  • Kuldeep Kumar, Bond University
  • Abhijit Bhattacharya, Indian Institute of Management, Lucknow
Date of this Version
1-1-2016
Document Type
Journal Article
Publication Details

Citation only

Singh, S., Kumar, K., Bhattacharya, A., & Rai, H. (2016). Estimating and testing the significance of correlation coefficient obtained from truncated bivariate normal distribution. Journal of Interdisciplinary Mathematics, 19 (2), 245-251.

Access the journal

© Taru Publications

Disciplines
Abstract

In this paper we have given a methodology to estimate the correlation coefficient between Combined Admission Test (CAT) score and Cumulative Grade Point Average (CGPA) of the students by truncating the CAT score at different cut-off points. An expression for asymptotic variance of estimated value of correlation coefficient has been derived for testing the hypothesis H0: r = 0 against the alternative H1: r > 0.

Citation Information
Shailendra Singh, Kuldeep Kumar and Abhijit Bhattacharya. "Estimating and testing the significance of correlation coefficient obtained from truncated bivariate normal distribution" Journal of Interdisciplinary Mathematics Vol. 19 Iss. 2 (2016) p. 245 - 251 ISSN: 0972-0502 (print), 2169-012X (online)
Available at: http://works.bepress.com/kuldeep_kumar/64/