A Generalized Class of Estimators for Finite Population Variance in Presence of Measurement Errors

The problem of estimating the population variance is presented using auxiliary information in the presence of measurement errors. The estimators in this article use auxiliary information to improve efficiency and assume that measurement error is present both in study and auxiliary variable. A numerical study is carried out to compare the performance of the proposed estimator with other estimators and the variance per unit estimator in the presence of measurement errors

Improved Ratio Type Estimator Using Two Auxiliary Variables under Second Order Approximation

In this paper, we have proposed a new Ratio Type Estimator using auxiliary information on two auxiliary variables based on Simple random sampling without replacement (SRSWOR). The proposed estimator is found to be more efficient than the estimators constructed by Olkin (1958), Singh (1965), Lu (2010) and Singh and Kumar (2012) in terms of second-order mean square error

Providing Security for Storing and Sharing Video Data in Cloud

Social networking has become a part of daily life of every smart phone user. Sharing real time images and videos produces huge amount of traffic as well as data every day. Tremendous amount of video data is stored and shared through multiple web and mobile application. This has given the rise to the need of secure infrastructure to store and share the user’s private videos. In this paper, we propose an infrastructure which allows users to store and share their video data securely over cloud. Only the authenticated user can get access to the shared videos. Any user who does not have rights to access the video will not be able to get any information about the video. The security of video data is guaranteed even if the storage is hacked

Dealing with Sensitive Quantitative Variables: A Comparison of Sampling Designs for the Procedure of Gupta and Thornton

The use of randomized response procedures allows diminishing the number of non-responses and increasing the accuracy of the responses. A new sampling strategy is developed where the reports are scrambled using the procedure of Gupta and Thornton. The estimator of the mean as well as the errors are developed for the Rao-Hartley-Cochran and Ranked Sets Sampling designs. The proposals are compared with the original model based on the use of simple random sampling