Variance estimation for non-parametric regression model in systematic sampling under heteroscedastic errors: a simulation study

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Publication Details

Journal
International Journal of Mathematical Modelling and Numerical Optimisation
Published
2025-01-01
DOI
https://doi.org/10.1504/ijmmno.2025.10071373
Primary Topic
Advanced Statistical Methods and Models
Type
article
Field-Weighted Citation Impact
0.00
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article

Variance estimation for non-parametric regression model in systematic sampling under heteroscedastic errors: a simulation study

Javaria Ahmad Khan, Atif Akbar, Sana Wahid
International Journal of Mathematical Modelling and Numerical Optimisation
Advanced Statistical Methods and Models
article

Variance estimation for non-parametric regression model in systematic sampling under heteroscedastic errors: a simulation study

Javaria Ahmad Khan, Atif Akbar, Sana Wahid
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Mathematical Modelling and Numerical OptimisationVol. 15(3)
Openalex Percentile: Top 89%
Advanced Statistical Methods and Models
DOISourceOpenAlex
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Variance estimation for non-parametric regression model in systematic sampling under heteroscedastic errors: a simulation study — Javaria Ahmad Khan, Atif Akbar, et al. · International Journal of Mathematical Modelling and Numerical Optimisation (2025) | TGRS Research Map | TGRS