Novel Log Type Class Of Estimators Under Ranked Set Sampling

Author:

Bhushan Shashi,Kumar AnoopORCID

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability

Reference46 articles.

1. Ali, N., Ahmad, I., Hanif, M and Shahzad, U (2019). Robust-regression-type estimators for improving mean estimation of sensitive variables by using auxiliary information. Commun. Stat. Theory Methods. https://doi.org/10.1080/03610926.2019.1645857.

2. Bhushan, S., Gupta, R. and Pandey, S.K. (2015). Some log-type classes of estimators using auxiliary information. Int. J. Agric. Stat. Sci. 11, 487–491.

3. Bhushan, S. and Gupta, R. (2019a). Some log-type classes of estimators using auxiliary attribute. Adv. Comput. Sci. Technol 12, 99–108.

4. Bhushan, S. and Gupta, R. (2019b). An improved log-type family of estimators using attribute. J. Stat. Manag. Syst. https://doi.org/10.1080/09720510.1661604.

5. Bhushan, S. and Gupta, R. (2019c). Some new log-type class of double sampling estimators. Int. J. Appl. Agric. Res. 14, 31–40.

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