Ab. Rauf

Robust Estimators for Estimation of Population Variance Using Linear Combination of Downton’s Method and Deciles as Auxiliary Information

M. A. Bhat, T. A. Raja, S. Maqbool, N. A. Sofi, Ab. Rauf, S. H. Baba & Immad. A. Shah · Advances in Research · 2018

We have suggested improved and robust estimators for the estimation of finite population variance using non-conventional population parameters as auxiliary variables to enhance the efficiency of proposed estimators. A comparison between suggested estimators and existing estimator...

Open access Research Article 10.9734/AIR/2018/41956

Estimate of Population Variance by Introducing Gini’s Mean Difference as Auxiliary Information

M. A. Bhat, S. Maqbool, S. A. Mir, T. A. Raja, Ab. Rauf, N. A. Sofi & Immad A. Shah · Journal of Scientific Research and Reports · 2018

In this study we have introduced a new reliable and robust ratio estimator for estimating the population variance by utilizing the auxiliary information as Gini’s mean difference. Efficiency conditions along with bias and mean square error has been worked out through a numerical...

Open access Research Article 10.9734/JSRR/2018/41962

An Improvement of Robust Estimator Using Known Values of Probability Weighted Moment for Finite Population Variance

M. A. Bhat, S. Maqbool, S. A. Mir, N. A. Sofi, Ab. Rauf, Immad. A. Shah & Mir Subzar · Asian Journal of Agricultural Extension, Economics & Sociology · 2018

In this study new improved robust estimator has been proposed for precise estimation of finite population variance in simple random sampling by incorporating as auxiliary information of probability weighted moment. Properties associated with proposed estimators are assessed by me...

Open access Research Article 10.9734/AJAEES/2018/41961