A Generalized Class of Jack-Knifed Estimator for Population Mean using an Auxiliary Variable and Attribute under Measurement Errors
Journal Title: Engineering and Scientific International Journal - Year 2016, Vol 3, Issue 2
Abstract
In this paper, we have considered a generalized class of estimators using auxiliary information in both the form variable and attribute under measurement error. We also suggest a class of unbiased estimators using the Jackknife technique under measurement error. The bias and mean square error (MSE) for the proposed classes are obtained under measurement error. Finally, some concluding remarks are made clearly demonstrating the importance of the proposed classes.
Authors and Affiliations
Shashi Bhushan
Keywords
Related Articles
- EP ID EP631429
- DOI -
- Views 115
- Downloads 0
Impact on Thermal Properties of Burnt Clay Bricks using Foundry Sand
Industrial waste such as foundry sand and many others are posing problems to manufacturing industries as strict environmental policies are not allowing open dumping or stacking of these waste materials. To solve the prob...
Quasi-stationary thermoelastic problem with moving heat source in unidirectional Dirichlet’s rod
In this paper we deal quasi-stationary, nonhomogeneous thermo elastic problem with Dirichlet’s boundary condition in one dimensional rod of isotropic material occupying the region 0 x a . Initial temperature of the r...
Residual Stresses in Machining: A Review
The most challenge is considered in Aviation industries is milling part features from prismatic blocks to part features by means of floor and wall thicknesses is very comparable to sheet metal assemblies. The distortion...
Internet of Things a Vision of Future and the Technological Growth
This paper addresses the impact of Internet of Things (IoT) in the whole world. The effort of IOT is to provide a communication between the network, common devices or human to other devices through the internet. Ten year...
Predicting the Risk Factors of Endometrial Cancer using Data Mining
Data mining act as an imperative part for uncovering new idea in healthcare organization which is supportive for all the parties related with medical field. This paper analyses the effectiveness of Data mining technique...