Some ratio type predictive estimators for estimation of the average water level of a river using season as an auxiliary attribute

The study aims to estimate the average water level of a river using an auxiliary attribute under a predictive approach. As the average water level varies in different seasons, the study considers the average water level as a study variable and the season an auxiliary attribute. A real data set of th...

Full description

Saved in:
Bibliographic Details
Main Authors: Muhammad Rafaqat, Hina Khan
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Heliyon
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024172374
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1841526220321193984
author Muhammad Rafaqat
Hina Khan
author_facet Muhammad Rafaqat
Hina Khan
author_sort Muhammad Rafaqat
collection DOAJ
description The study aims to estimate the average water level of a river using an auxiliary attribute under a predictive approach. As the average water level varies in different seasons, the study considers the average water level as a study variable and the season an auxiliary attribute. A real data set of the water level of the Jhelum River at Mangla is obtained. As we found a positive correlation between the average water level and the season, we have suggested some ratio-type predictive estimators for estimating the average water level. The mean square errors (MSE) and bias of the suggested estimators are obtained using the MSE and bias of the corresponding conventional (design-based) estimators. The performance of the proposed predictive estimators, relative to their related existing estimators, has been studied, and improved performance has been established.
format Article
id doaj-art-ae2f1e4ebb884e64924c9f86b8521b00
institution Kabale University
issn 2405-8440
language English
publishDate 2025-01-01
publisher Elsevier
record_format Article
series Heliyon
spelling doaj-art-ae2f1e4ebb884e64924c9f86b8521b002025-01-17T04:50:31ZengElsevierHeliyon2405-84402025-01-01111e41206Some ratio type predictive estimators for estimation of the average water level of a river using season as an auxiliary attributeMuhammad Rafaqat0Hina Khan1Department of Statistics, Government College (GC) University, Lahore, Pakistan; Department of Statistics, Mirpur University of Science and Technology (MUST), Mirpur, AJK, PakistanDepartment of Statistics, Government College (GC) University, Lahore, Pakistan; Corresponding author.The study aims to estimate the average water level of a river using an auxiliary attribute under a predictive approach. As the average water level varies in different seasons, the study considers the average water level as a study variable and the season an auxiliary attribute. A real data set of the water level of the Jhelum River at Mangla is obtained. As we found a positive correlation between the average water level and the season, we have suggested some ratio-type predictive estimators for estimating the average water level. The mean square errors (MSE) and bias of the suggested estimators are obtained using the MSE and bias of the corresponding conventional (design-based) estimators. The performance of the proposed predictive estimators, relative to their related existing estimators, has been studied, and improved performance has been established.http://www.sciencedirect.com/science/article/pii/S2405844024172374Predictive approachStudy variableAuxiliary attributeBiasMean square errorEfficiency
spellingShingle Muhammad Rafaqat
Hina Khan
Some ratio type predictive estimators for estimation of the average water level of a river using season as an auxiliary attribute
Heliyon
Predictive approach
Study variable
Auxiliary attribute
Bias
Mean square error
Efficiency
title Some ratio type predictive estimators for estimation of the average water level of a river using season as an auxiliary attribute
title_full Some ratio type predictive estimators for estimation of the average water level of a river using season as an auxiliary attribute
title_fullStr Some ratio type predictive estimators for estimation of the average water level of a river using season as an auxiliary attribute
title_full_unstemmed Some ratio type predictive estimators for estimation of the average water level of a river using season as an auxiliary attribute
title_short Some ratio type predictive estimators for estimation of the average water level of a river using season as an auxiliary attribute
title_sort some ratio type predictive estimators for estimation of the average water level of a river using season as an auxiliary attribute
topic Predictive approach
Study variable
Auxiliary attribute
Bias
Mean square error
Efficiency
url http://www.sciencedirect.com/science/article/pii/S2405844024172374
work_keys_str_mv AT muhammadrafaqat someratiotypepredictiveestimatorsforestimationoftheaveragewaterlevelofariverusingseasonasanauxiliaryattribute
AT hinakhan someratiotypepredictiveestimatorsforestimationoftheaveragewaterlevelofariverusingseasonasanauxiliaryattribute