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T. A. Raja

Publications (7)

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

Modified Variance Estimators for Non Response Problems in Survey Sampling

M. A. Bhat, T. A. Raja, S. Maqbool, S. A. Mir & Nageena Nazeer · Advances in Research · 2018

In this present study, we have discussed the issue of presence and absence of non-response that we often face in survey estimation. We have suggested the estimators to estimate the finite population Variance in the absence and presence of non-response, using the linear combinatio...

Open access Research Article 10.9734/AIR/2018/39643

Statistical Model for Yield Estimation of ‘Gala Red Lum’ Apples after Bloom in Northern India

Tabasum Mushtaq, S. A. Mir, Nageena Nazir, T. A. Raja, A. H. Pandith, Khalid Rasool & Mushtaq A. Lone · Current Journal of Applied Science and Technology · 2018

The objective of this paper is to develop the best fitted model for estimating yield in Gala Red Lum after bloom. The data used for this research were primary data collected from high density apple block of SKUAST-Kashmir (HDP, Plate-1). The study was undertaken at experimental f...

Open access Research Article 10.9734/CJAST/2018/43430

Statistical Model for Yield Estimation of ‘Gala Red Lum’ Apples before Bloom in Northern India

Tabasum Mushtaq, S. A. Mir, Nageena Nazir, T. A. Raja, A. H. Pandith, Khalid Rasool & Mushtaq A. Lone · Advances in Research · 2018

In order to solve the problems of damage in crops due to natural disasters like frosts and hail storm, it is common to insure crops against the damage. After damage, crop loss must be evaluated by comparing what amount of crop is left with the amount that would have been obtained...

Open access Research Article 10.9734/AIR/2018/43391

A New Modified Approach for the Improvement of New Estimator Using Known Value of Downton’s Method as Auxiliary Information for Estimating the Population Variance

M. A. Bhat, S. A. Mir, S. Maqbool, T. A. Raja, Ab. Rauf Shah, Z. M. Dar & Immad A. Shah · Asian Journal of Agricultural Extension, Economics & Sociology · 2018

In the present study we have suggested a newly modified ratio estimator for estimating the population variance by utilizing the auxiliary information of Downton's method. Properties associated with proposed estimators are assessed by mean square error and bias through numerical d...

Open access Research Article 10.9734/AJAEES/2018/41963

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