• Ms. Moon
• Dr. Kumar Satyendra Yadav
• Dr. Dilip Kumar

One of the key causes of the population expansion is fertility. However, the majority of studies on the topic use heavily aggregated data. As a result, the studies do not adequately account for changes that occur at the micro level. This fact calls for deeper research into the matter. In order to do this, many models have been used by Brass (1958), as well as numerous other works (Singh 1963; Singh et al. 1971; and others). However, the majority of them have employed Univariate models, which in reality only partially achieve the desired results. These problems have prompted us to look for a good bivariate model. We have therefore tried to use the symmetrical bivariate negative binomial distribution (SBNBD) to research and predict the behaviour of fertility. This increases the SBNBD's usefulness in analysing fertility behaviours. The method aids in the determination of the correlation coefficient, the lines of regression, and the bivariate model for the observed bivariate birth distributions in human populations. The two completely separate sets of live birth data to demonstrate the technique. The first set is based on births that took place in India's Patna Medical College Hospital in 2018 while the second set is based on information on the French mothers mentioned by James in 1975. The results have significant implications for human biology, genetics, and demography.

Population explosion, Bivariate Model, Correlation Coeffcient, Regression, Micro Level Data

"Statistical Techniques for Demographic Characteristics and Fertility Measures", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.n493-n503, May-2023, Available :http://www.jetir.org/papers/JETIR2305D72.pdf

"Statistical Techniques for Demographic Characteristics and Fertility Measures", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppn493-n503, May-2023, Available at : http://www.jetir.org/papers/JETIR2305D72.pdf