Modeling the dynamics of marriage-migration distance through a generalized power gamma–Weibull distribution

Female marriage migration plays a vital role in shaping the social, economic, and cultural structure of rural communities. Deeply ingrained sociocultural norms involving kinship networks, marriage customs, and local traditions are reflected in the distance women travel after marriage. This study presents a proposed four-parameter novel generalized exponential distribution in order to capture the intricate nature of these migration patterns. The distribution includes important characteristics of the exponential, gamma, and Weibull families and offers significant flexibility for modeling skewness, heavy tails, and heterogeneity. It is especially well suited for representing positively skewed migration-distance data due to its structural flexibility. The suggested model continuously showed strong fit across methods, demonstrating its efficacy for analyzing female marriage-migration behavior. Model parameters were estimated using a variety of techniques, including maximum likelihood, method of moments, least squares, Cramér–von Mises, and Anderson–Darling.

Authors

Institutions

Publication Details

Journal
Communications in Statistics - Simulation and Computation
Published
2026-06-17
DOI
https://doi.org/10.1080/03610918.2026.2685823
Primary Topic
Migration and Labor Dynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Modeling the dynamics of marriage-migration distance through a generalized power gamma–Weibull distribution

Himanshu Pandey, Poonam Singh, Navin Upadhyay
Communications in Statistics - Simulation and Computation
Migration and Labor Dynamics
article

Modeling the dynamics of marriage-migration distance through a generalized power gamma–Weibull distribution

Himanshu Pandey, Poonam Singh, Navin Upadhyay
article en

Abstract

Female marriage migration plays a vital role in shaping the social, economic, and cultural structure of rural communities. Deeply ingrained sociocultural norms involving kinship networks, marriage customs, and local traditions are reflected in the distance women travel after marriage. This study presents a proposed four-parameter novel generalized exponential distribution in order to capture the intricate nature of these migration patterns. The distribution includes important characteristics of the exponential, gamma, and Weibull families and offers significant flexibility for modeling skewness, heavy tails, and heterogeneity. It is especially well suited for representing positively skewed migration-distance data due to its structural flexibility. The suggested model continuously showed strong fit across methods, demonstrating its efficacy for analyzing female marriage-migration behavior. Model parameters were estimated using a variety of techniques, including maximum likelihood, method of moments, least squares, Cramér–von Mises, and Anderson–Darling.

Communications in Statistics - Simulation and Computation
Deen Dayal Upadhyay Hospital (IN), Deen Dayal Upadhyaya Gorakhpur University (IN), Banaras Hindu University (IN)
Gender equality
Openalex Percentile: Top 4%
Migration and Labor Dynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.