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

Asili, Sahar; Rezaei, Satar; Najjar, Lotfollah

doi:10.1155/2014/790294

Cited by 6 publications

(5 citation statements)

References 11 publications

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“…Gaire and Aryal (2015) applied inverse Gaussian model to describe the distribution pattern of ASFRs of Nepalese mothers. Asili et al (2014) used skew-logistic probability to fit ASFRs of Italy and the same model was applied to fit the ASFRs of India by Mishra et al (2017). A polynomial model was used by Gaire et al (2022).…”

Section: Application Of Sllog Distributionmentioning

confidence: 99%

Skew Log-logistic distribution: properties and application

Gaire,

Bahadur Gurung

2024

SiTns

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This paper introduces a novel three-parameter skew-log-logistic distribution. The research involves the development of a new random variable based on Azzalini and Capitanio’s (2013) proposition. Additionally, various statistical properties of this distribution are explored. The paper presents a maximum likelihood method for estimating the distribution’s parameters. The density function exhibits unimodality with heavy right tails, while the hazard function exhibits rapid increase, unimodality, and slow decrease, resulting in a right-skewed curve. Furthermore, four real datasets are utilized to assess the applicability of this new distribution. The AIC and BIC criteria are employed to assess the goodness of fit, revealing that the new distribution offers greater flexibility compared to the baseline distribution.

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Section: Application Of Sllog Distributionmentioning

confidence: 99%

Skew Log-logistic distribution: properties and application

Gaire,

Bahadur Gurung

2024

SiTns

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Section: Application Of Sllog Distributionmentioning

confidence: 99%

Untitled

2024

SiTns

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Statistics in Transition new series (SiTns) is an international journal published jointly by the Polish Statistical Association (PTS) and Statistics Poland, on a quarterly basis (during 1993-2006 it was issued twice and since 2006 three times a year). Also, it has extended its scope of interest beyond its originally primary focus on statistical issues pertinent to transition from centrally planned to a market-oriented economy through embracing questions related to systemic transformations of and within the national statistical systems, world-wide.The SiTns seeks contributors that address the full range of problems involved in data production, data dissemination and utilization, providing international community of statisticians and users -including researchers, teachers, policy makers and the general public -with a platform for exchange of ideas and for sharing best practices in all areas of the development of statistics.Accordingly, articles dealing with any topics of statistics and its advancement -as either a scientific domain (new research and data analysis methods) or as a domain of informational infrastructure of the economy, society and the state -are appropriate for Statistics in Transition new series.Demonstration of the role played by statistical research and data in economic growth and social progress (both locally and globally), including better-informed decisions and greater participation of citizens, are of particular interest.Each paper submitted by prospective authors are peer reviewed by internationally recognized experts, who are guided in their decisions about the publication by criteria of originality and overall quality, including its content and form, and of potential interest to readers (esp. professionals).

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“…al. [26] for fitting agespecific fertility rates of Ireland and Greece. The fertility curve fitted by them has bimodal shape.…”

Section: Modeling Age-specific Fertility Rate Patternmentioning

confidence: 99%

A Model for Age-Specific Fertility Rate Pattern of India Using Skew-Logistic Distribution Function

Mishra¹

2017

AJTAS

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Fertility governs central and positive role in the study of human population dynamics. The age-specific fertility pattern has a distinct shape for all human population, to describe which, a number of parametric models have been proposed. The purpose of this study is to develop a mathematical model for fitting age-specific fertility rate pattern of various states of India. Skew-logistic probability density function is used for building the model. The real data, to which this model has been fitted, is obtained from National Family Health Survey-III (2005)(2006). The used model is very flexible in nature and hence is useful for modeling diverse fertility patterns which are observed across different states of India. The parameters of the model have been estimated through the method of non-linear least square. By fitting the model it is observed that the proposed model fits well on the fertility pattern for almost each state of the country.

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

Cited by 6 publications

References 11 publications

Skew Log-logistic distribution: properties and application

Skew Log-logistic distribution: properties and application

Untitled

A Model for Age-Specific Fertility Rate Pattern of India Using Skew-Logistic Distribution Function

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