â&lt;i&gt;BIVARIATE DISTRIBUTION&lt;/i&gt;â FOR INFRASTRUCTURES AMONG OPERATIVE, NATURAL AND NO MENOPAUSES

Ramalingam Shanmugam

doi:10.3844/amjbsp.2014.34.44

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.

Highlights

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 is the cessation of a woman's reproductive ability, the opposite of menarche
Menopause is the permanent cessation of menstruation resulting from loss of ovarian follicular activity

Summary

INTRODUCTION

The Menopause is the cessation of a woman's reproductive ability, the opposite of menarche. Perimenopause is a term for the menopause transition years, the time both before and after the last period ever, while hormone levels are still fluctuating erratically. During peri-and post menopause period, changes occur in hormonal patterns, which induce menopausal symptoms. The operated menopause is surgically done with hormone replacement therapy in a medical treatment. Instead of declining slowly the levels of estrogens and testosterone over time, they decline sharply, resulting in more severe symptoms. Research directions for future work on bivariate menopause distribution is discussed

BIVARIATE MENOPAUSE DISTRIBUTION AND ITS PROPERTIES

ILLUSTRATION WITH MACMAHON

Mean Variance