Wednesday, 25 January 2023

Generalized Power Transformed Robust Ratio Type Estimator: An Application to COVID-19| Chapter 2 | Research Highlights in Mathematics and Computer Science Vol. 4

 The use of capacity transformed estimator results in greater precision in the estimation as these estimators determine a lesser MSE. Such accuracy is much appreciated when the culture under study is rare or secret clustered as at this moment population, securing a representative sample is difficult and when the precision of the estimate is principal. To deal with aforementioned a situation, in this place article we have proposed the first statement power metamorphosis robust type percentage estimator and from this, we have proposed sixteen power shift robust type percentage estimators. Further, the performance of these estimators has happened studied in estimating the average cases of COVID-19 in the Indian merger territory of Andaman and Nicobar islets and the state of Goa concerning some related estimators. The projected estimators resulted in larger precision.

Author(s) Details:

Rajesh Singh,
Department of Statistics, Institute of Science, Banaras Hindu University, India.

Rohan Mishra,
Department of Statistics, Institute of Science, Banaras Hindu University, India.

Please see the link here: https://stm.bookpi.org/RHMCS-V4/article/view/9156

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