An Efficient Class of Estimators in Stratified Random Sampling with an Application to Real Data

Bhushan, Shashi; Kumar, Anoop; Lone, Showkat Ahmad; Anwar, Sadia; Gunaime, Nevine M.

doi:10.3390/axioms12060576

Cited by 5 publications

(3 citation statements)

References 32 publications

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“…The participants were distributed in five subdistrict areas (Banjarsari, Jebres, Pasar Kliwon, Laweyan, and Serengan). Stratified random sampling is used in this study by dividing the population into smaller, separate groups (strata) [61], [62].…”

Section: E Data Collectionmentioning

confidence: 99%

Configuration Analysis of Technology Readiness, Technology Acceptance, and Public Satisfaction Regarding Continued Induction Stove Use in Indonesia

Damayanti,

Setiadi,

Kurnianto

et al. 2024

Int. J. Adv. Sci. Eng. Inf. Technol.

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In 2022, Indonesia began the energy conversion pilot project from Liquefied Petroleum Gas (LPG) stoves to induction stoves in Surakarta. Before the program is scaled up, it is vital to conduct an in-depth analysis of the technology readiness, technology acceptance, and user satisfaction to assess program continuity. This research aims to identify what configuration of aspects of technology readiness, technology acceptance, and satisfaction will produce continuance intention and the necessary conditions of continuance usage intention. This study involved 412 conversion program participants in five districts in Surakarta, Indonesia. Utilizing fuzzy-set qualitative comparative analysis (fsQCA), four solution configurations that lead to high continuance intention and four for low continuance intention were obtained. Generally, nearly all conditions must be maintained at a positive level to produce high continuance intention, especially innovativeness, and satisfaction. The research has theoretical and practical implications, including satisfaction having the greatest impact on configurations and the quality of the conversion program, in which the induction stove and its service program must become the main focus to ensure satisfaction. Clear policies and wider socialization must be conducted to enhance people’s awareness and trust. To boost sustainability and continuity, synergistic cooperation between stakeholders and the creation of a better environment for induction stove implementation must also be established. Future research should conduct a longitudinal study approach to strengthen the analysis of a long-term induction stove conversion program.

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Section: E Data Collectionmentioning

confidence: 99%

Configuration Analysis of Technology Readiness, Technology Acceptance, and Public Satisfaction Regarding Continued Induction Stove Use in Indonesia

Damayanti,

Setiadi,

Kurnianto

et al. 2024

Int. J. Adv. Sci. Eng. Inf. Technol.

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show abstract

“…In cases where the correlation coefficients between the study and auxiliary variables exhibit positivity, ratio estimators come into play. Conversely, when a negative correlation is evident, the product estimator is employed to gauge the population mean, Bhushan et al [1] . Both ratio and product type estimators leverage supplementary information to yield precise and efficient results.…”

Section: Introductionmentioning

confidence: 99%

Dual-type quantile regression approach for mean estimation incorporating sampled and non-sampled data

Alomair,

Iftikhar

2024

Heliyon

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“…Using a known coefficient of variation for the auxiliary variable, Garg and Pachori (3) suggested a new calibration estimator with a set of new calibration constraints for predicting the population mean in the stratified random sample. Later numerous authors, such as Zaman and Kadilar (4) ; Iftikhar et al (5) ; Muneer et al (6) ; Husain et al (7) ; Cekim and Kadilar, (8) ; Zaman (9) ; Singh and Nigam (10) and Bhushan et al (11) Kumar and Tiwari et al (12) ; Babatunde et al (13) ; Singh et al (14) ; Ahmad et al (15) and Bhushan et al (16) employed several well-known auxiliary variable parameters, including the variance and kurtosis coefficients, as well as a measure of the correlation in stratified random sampling between the auxiliary variable and the study variable. Koc and Koc (17) examined a novel class of estimators for finite population mean in stratified random sampling that is based on quantile regression ratios.…”

Section: Introductionmentioning

confidence: 99%

A New Ratio and Product Type Estimator for Mean Under Stratified Random Sampling

Nikita,

Malik,

Sumiti

2023

IJST

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Objectives:The present study deals with the formation of a modified ratio and product type estimator for estimating finite population mean using auxiliary variables under stratified random sampling. Methods: The expression for the bias and mean square error (MSE) of the suggested estimator was computed upto the first degree of approximation by using the ratio and product method of estimation. We used the data of Area and Production of Horticulture Crops, India obtained from the official website of National horticulture board. The another dataset was taken from a project that was undertaken by Department of Animal Husbandry of a state government, Punjab for comparison. An analysis was conducted to compare the suggested estimator with Chami's and other existing estimators. Findings: The optimum value of the proposed estimator has been obtained. The suggested estimator is reported to be more effective than the conventional mean, ratio, and product type estimators. We have used two data sets obtained through a stratified random sampling strategy to evaluate the effectiveness of the estimators discussed. The percent relative efficiency of envisaged estimator was obtained from population I is 130.05 and 141.56, from population II is 137.31 and 146.8 that is greater than existing estimators. The numerical illustration also showed that the new estimator is more efficient than simple mean, ratio, and product type estimators. Novelty: We proposed a new estimator that has practical implications. The comparative analysis has been done to set up the condition for which the suggested estimators are more efficient than other estimator with novelty.

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An Efficient Class of Estimators in Stratified Random Sampling with an Application to Real Data

Cited by 5 publications

References 32 publications

Configuration Analysis of Technology Readiness, Technology Acceptance, and Public Satisfaction Regarding Continued Induction Stove Use in Indonesia

Configuration Analysis of Technology Readiness, Technology Acceptance, and Public Satisfaction Regarding Continued Induction Stove Use in Indonesia

Dual-type quantile regression approach for mean estimation incorporating sampled and non-sampled data

A New Ratio and Product Type Estimator for Mean Under Stratified Random Sampling

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