Comparative performance of different ratio estimators of population mean
| dc.contributor.advisor | Manoj Kumar | |
| dc.contributor.author | Tanu | |
| dc.date.accessioned | 2019-02-06T06:32:23Z | |
| dc.date.available | 2019-02-06T06:32:23Z | |
| dc.date.issued | 2018 | |
| dc.description.abstract | In this study, an attempt has been made to compare the performance of different ratio estimators. For the said purpose, ratio estimators by different researchers have been taken. Comparison of proposed estimators have been done pair wise over bias and mean squared error. Theoretical conditions were also developed when one estimator is better than the other. A total of forty six conditions were found on each bias and mean square error. Theoretical conditions were also compared using the empirical data set in which all the parameters required for the estimators were calculated. R-software code also developed to compare the bias, mean square error and percentage relative bias for different estimators. It was observed that estimator proposed by Subramani and Kumarapandiyan ( ere found be the best in term of bias, mean square and percentage relative bias with all the proposed estimators whereas estimator proposed by Kadilar and Cingi (2004) found to be the worst estimator empirically. | en_US |
| dc.identifier.uri | http://krishikosh.egranth.ac.in/handle/1/5810093805 | |
| dc.keywords | Estimator, Population Mean, Sample, Bias, Mean Squared Error, Percentage Relative Bias, Simple Random Sampling, Ratio Type Estimator | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | CCSHAU | en_US |
| dc.sub | Statistics | en_US |
| dc.subject | null | en_US |
| dc.theme | Comparative performance of different ratio estimators of population mean | en_US |
| dc.these.type | M.Sc | en_US |
| dc.title | Comparative performance of different ratio estimators of population mean | en_US |
| dc.type | Thesis | en_US |