Ishaq O.

An alternative to Mohanty (1967) and Samiuddin and Hanif (2006) Regression-Cum-Ratio Finite Population Mean Estimators

Ratio Estimators for Estimating Population Mean Using Tri-mean, Median and Quartile Deviation of Auxiliary Variable

One of the most popular schemes in monitoring multivariate statistical process control (MSPC) is the Hotelling’s ᡆ2, which gives a better result when compared with the simultaneous use of univariate counterpart since the former captures the g the multivariate observations. Despite the merits of this procedure, there are some demerits which includes variable(s) identification.

On average, older adults tend to have more body fat than younger adults for an equivalent BMI. Hence, few works have been carried out on the areas of the relationship between Body Mass Index and Hypertension. Therefore, this research is carried out to review the relationship between Body Mass Index and patients with high Blood Pressure at MMSH, kano state using regression and correlation analyses. The result shows that the conditions of patients with high BP are worsened by excess weight.

Going by the progress made in the study of trend estimation over the years, in the efforts to further develop the study of forecasting as a sphere of knowledge and apply it in particular to real-life situations. Hence, this research work compares linear and quadratic trend models using measurements of accuracy. From the result, it was found that the quadratic trend best fits the model for forecasting the production of the selected products of KRPC.

Experiments, for example, medical and social science surveys, conducted by humans are often characterized by the problem of non-response of missing observations. In this study, an alternative imputation method to Singh and Horn (2000) and Singh et al (2014) compromised imputation methods have been suggested due to a decrease in their efficiency when the value of unknown weights tends to unity.

Surveys such as medical and social science surveys, human are often associated with observations. Several schemes and estimators have been suggested by authors like Singh and Horn (2000), Singh et al (2014), and several others, However, the existing schemes and estimators only consider quantitative auxiliary variables not qualitative. In this study, some imputation methods were studied using auxiliary attribute and two new imputation schemes using auxiliary attribute have been suggested.