USE OF A NON-LINEAR MODEL FOR IMPROVED ESTIMATION IN CLUSTER SAMPLING

Authors

  • Govind Charan Misra Dept of Statistics, D.A-V College, Kanpur, India
  • Subhash Kumar Yadav Dept of Mathematics & Statistics, Dr R M L Avadh University, Faizabad
  • Alok Kumar Shukla Dept of Mathematics & Statistics, Dr R M L Avadh University, Faizabad
  • Raj Bahadur Dept of Mathematics & Statistics, Dr R M L Avadh University, Faizabad

Keywords:

optimum cluster size, Non-linear regression, variance function, Efficiency.

Abstract

Several researchers have attempted to develop a general law to predict a general relationship between variance within cluster S2w and size of the cluster M for purposes like determination of optimum cluster size etc. In the present study a non-linear model has been suggested for describing the relationship between S2w and M which has shown improvement over existing models and results have also been verified with the help of an example.

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References

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Published

2010-12-01

How to Cite

Misra, G. C. ., Yadav, S. K. ., Shukla, A. K. ., & Bahadur, R. . (2010). USE OF A NON-LINEAR MODEL FOR IMPROVED ESTIMATION IN CLUSTER SAMPLING. Journal of Reliability and Statistical Studies, 3(02), 73–78. Retrieved from https://journals.riverpublishers.com/index.php/JRSS/article/view/22011

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