Research Article Open Access

"BIVARIATE DISTRIBUTION" FOR INFRASTRUCTURES AMONG OPERATIVE, NATURAL AND NO MENOPAUSES

Ramalingam Shanmugam1
  • 1 Texas State University-San Marcos, United States

Abstract

Menopause is not an illness but rather an important event as it changes the body physiology and mental cognition via hormonal changes. During data analysis of menopauses incidence data, new bivariate distribution is discovered. Their marginal, conditional distribution and statistical properties including the inter and partial correlations are explored and utilized to interpret menopauses data. A likelihood ratio hypothesis testing procedure is constructed to test the statistical significance of the sample estimate of the chance for menopause and estimate of the chance for operative menopause. The menopause data are analyzed and interpreted in the illustration. Research directions for future work are pointed out.

Current Research in Biostatistics
Volume 4 No. 2, 2014, 34-44

DOI: https://doi.org/10.3844/amjbsp.2014.34.44

Submitted On: 15 August 2014 Published On: 23 August 2014

How to Cite: Shanmugam, R. (2014). "BIVARIATE DISTRIBUTION" FOR INFRASTRUCTURES AMONG OPERATIVE, NATURAL AND NO MENOPAUSES. Current Research in Biostatistics, 4(2), 34-44. https://doi.org/10.3844/amjbsp.2014.34.44

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Keywords

  • Likelihood Ratio Test
  • Multinomial Count Distribution
  • Hypothesis Testing
  • P-Value
  • Statistical Power