A Class of Ratio-Type Estimator Using Two Auxiliary Variables for Estimating The Population Mean With Some Known Population Parameters

In this paper, we have suggested a class of ratio type estimators with a linear combination using two auxiliary variables with some known population mean of the study variable. The bias and the mean square error of the proposed estimators are derived. We identified sub-members of the class of ratio type estimators. The condition for which the the proposed the proposed estimators perform better than the sample mean per unit, Olkin (1958) multivariate ratio, classical linear regression estimator, Singh(1965), Mohanty (1967) and Swain (2012) are derived. From the analysis, it is observed that the proposed estimators perform better than the sample mean per unit and other existing ratio type estimators considered in this study

Structural Exposition of Concern and Belief of COVID-19 Vaccination Knowledge in Ghana

This study aimed to investigate the structural concerns, knowledge, and beliefs about COVID-19 vaccination in the Ghanaian context. As a result, understanding the changing dynamics of knowledge, concerns, and beliefs about COVID-19 vaccination and health is critical for disease control and prevention. This study used a quantitative method with convenience sampling to ask respondents about COVID-19 vaccine acceptance through an online questionnaire shared with indigenous residents in and outside Ghana with 346 respondents. This study employed various data analysis techniques, including structural equation modelling, multi-group data analysis, and interaction effects. The degree of belief and concern regarding vaccination knowledge was statistically different. It is assumed that males tend to believe more about vaccination and have higher knowledge than females. The study adds an original view of differences in the perception of people in Ghana on how they perceived the belief and concern for vaccination knowledge based on demographic factors of gender, employment, and unemployment