### Abstract

In sample surveys, it is usual to make use of auxiliary information to increase the precision of estimators. Two classes of estimators are suggested to estimate the population mean for the variable of interest using two auxiliary variables. Some special cases of these two classes of estimators are considered and compared using real data set and computer simulation. It turns out that the newly suggested estimators dominate all other well-known estimators in terms of mean square error and bias. Finally we showed how to extend the two classes of estimators if more than two auxiliary variables are available.

Original language | English |
---|---|

Pages (from-to) | 287-298 |

Number of pages | 12 |

Journal | Applied Mathematics and Computation |

Volume | 139 |

Issue number | 2-3 |

DOIs | |

Publication status | Published - Jul 15 2003 |

### Keywords

- Bias
- Mean square error
- Precision
- Two auxiliary variables

### ASJC Scopus subject areas

- Applied Mathematics
- Computational Mathematics
- Numerical Analysis

## Fingerprint Dive into the research topics of 'Some estimators of a finite population mean using auxiliary information'. Together they form a unique fingerprint.

## Cite this

Abu-Dayyeh, W. A., Ahmed, M. S., Ahmed, R. A., & Muttlak, H. A. (2003). Some estimators of a finite population mean using auxiliary information.

*Applied Mathematics and Computation*,*139*(2-3), 287-298. https://doi.org/10.1016/S0096-3003(02)00180-7