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SPSS Analysis -- 2
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Kmeans clustering on Excel
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probability and stats
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Teaching Statistics, Data analysis, and assessment of students
Phd (In view)2018 - 2018 (1 month)
Masters of Science in Statatistics2010 - 2014 (4 years)
Bsc (Statistics)2003 - 2006 (3 years)
Professional Diploma in Education (2011)Ahmadu Bello University, Zaria, Nigeria.
Professional Diploma in Education
Các xuất bản
LINEAR COMBINATION OF SAMPLE VAR, RATIO&PRODUCT ESTIMATORS OF FINITE POPN VAR IN TWO-STAGE SAMPLING
Ratio estimators are some time to be found less efficient. There is very little research to estimate the variance of the population, so in this work, an attempt was made to estimate the variance of the finite population under two-stage sampling in which the exponential ratio type estimator existing for estimating the variance of the finite population under two-stage sampling (case II) was modified and new five modified estimators for estimating finite population variance was obtained.
On the Efficiency of Imputation Estimators using Auxiliary Attribute
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.
Regression-Cum-Exponential Ratio Imputatn of Estimators of Popn means in the Presence of NonResponse
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.
Evaluation of The Most Appropriate Trend Models In Forecasting Some KRPC Products
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.
Reviewing of the Relationship Between Body Mass Index and High Blood Pressure of Patients
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.
MYT decomposition and its invariant attribute
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.
Ratio Estimators for Estimating Population Mean
Ratio Estimators for Estimating Population Mean Using Tri-mean, Median and Quartile Deviation of Auxiliary Variable
Alternative to Mohanty (1967) and Samiuddin and Hanif (2006)
An alternative to Mohanty (1967) and Samiuddin and Hanif (2006) Regression-Cum-Ratio Finite Population Mean Estimators
Evaluation of Parametric Pair-wise Multiple Comparison Procedures
Evaluation of Parametric Pair-wise Multiple Comparison Procedures under Some Probability Distributions.
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