A general class of estimators in stratified random sampling

Tiwari, Kuldeep Kumar; Bhougal, Sandeep; Kumar, Sunil

doi:10.1080/03610918.2020.1859537

Cited by 10 publications

(10 citation statements)

References 12 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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“…[18] investigated the memory type product and ratio estimators using StRS. Motivated by [12,19] examined a general class of estimators under StRS. Ref.…”

Section: Introductionmentioning

confidence: 99%

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

Bhushan

Kumar

Lone

et al. 2023

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This research article addresses an efficient separate and combined class of estimators for the population mean estimation based on stratified random sampling (StRS). The first order approximated expressions of bias and mean square error of the proposed separate and combined class of estimators are obtained. A comparative study is conducted to determine the efficiency conditions in which the suggested class of estimators outperforms the contemporary estimators. These efficiency conditions are examined through an extensive simulation study by employing a hypothetically drawn symmetrical and asymmetrical populations. The simulation results have shown that the suggested class of estimators is more effective than the other available estimators. In addition, an application of the proposed methods is also presented by examining a real data set.

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“…Rather and Kadilar (2022) demonstrated an increase in the proposed estimator's efficiency by contrasting it with an unbiased estimator. Additionally, Kumar et al (2023) created a group of estimators using stratified random sampling, compared those estimators to others already in use, and came to the conclusion that the new class of estimators outperformed the older ones. In this paper, we have developed an estimator in Section 4 and proved the efficiency of proposed and considered estimators in Section 6.…”

Section: Introductionmentioning

confidence: 99%

Heuristical Approach for Optimizing Population Mean Using Ratio Estimator in Stratified Random Sampling

Triveni,

Danish

2023

JRSS

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In this study, we have developed a Ratio type estimator in Stratified sampling to estimate the population average of study variable by using the information of a concomitant variable. By utilizing Taylor’s series, we have derived the expressions for Bias and MSE upto first degree of approximation. In numerical illustration, employing a real data set, we have demonstrated that the proposed estimator has highest Percentage relative efficiency when compared to the considered existing estimatrs. Furthermore, we have demonstrated that Separate ratio type estimators have the highest relative efficiency when contrasted with the Combined ratio type estimators.

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A general class of estimators in stratified random sampling

Cited by 10 publications

References 12 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

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

Heuristical Approach for Optimizing Population Mean Using Ratio Estimator in Stratified Random Sampling

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