Modeling Human Fertility Using Variance-adjusted Logistic Family of Distributions
Published in American Journal of Mathematical and Management Sciences, 2025
What to do when the fertility models can no longer keep up with the ever changing shapes of fertility curves? This work proposes a family of flexible models that adjusts not just according to temporal changes but geographic locations as well. You can think of them as statistical chameleons — able to morph into unimodal, skewed, or even bimodal shapes depending on the context of study!!
Recommended citation: Singh, S., Gupta, A., & Upadhyay, S. K. (2025). "Modeling Human Fertility Using Variance-Adjusted Logistic Family of Distributions." American Journal of Mathematical and Management Sciences. 1-24.
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