Using Skew-Logistic Probability Density Function as a Model for Age-Specific Fertility Rate Pattern | Zendy

Sahar Asili | Zendy; Sadegh Rezaei | Zendy; Lotfollah Najjar | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Using Skew-Logistic Probability Density Function as a Model for Age-Specific Fertility Rate Pattern

Author(s) -

Sahar Asili,

Sadegh Rezaei,

Lotfollah Najjar

Publication year - 2014

Publication title -

biomed research international

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.772

H-Index - 126

eISSN - 2314-6141

pISSN - 2314-6133

DOI - 10.1155/2014/790294

Subject(s) - skew , fertility , total fertility rate , mathematics , statistics , probability density function , logistic function , logistic regression , skew normal distribution , skewness , econometrics , computer science , demography , population , research methodology , telecommunications , sociology , family planning

Fertility rate is one of the most important global indexes. Past researchers found models which fit to age-specific fertility rates. For example, mixture probability density functions have been proposed for situations with bi-modal fertility patterns. This model is less useful for unimodal age-specific fertility rate patterns, so a model based on skew-symmetric (skew-normal) pdf was proposed by Mazzuco and Scarpa (2011) which was flexible for unimodal and bimodal fertility patterns. In this paper, we introduce skew-logistic probability density function as a better model: its residuals are less than those of the skew-normal model and it can more precisely estimate the parameters of the model.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research