Abdul HAQ, Javid SHABBİR

8689

Improved exponential type estimators of finite population mean under complete and partial auxiliary information

Improved exponential type estimators of finite population mean under complete and partial auxiliary information

This paper proposes some improved exponential type estimators of finite population mean under simple random sampling and double sampling. Expressions for biases and mean squared errors of the proposed estimators are derived up to the first order of approximation. Theoretical and numerical comparisons are made to investigate the performances of the estimators. The proposed estimators always perform better than the difference estimator of the population mean. They also perform better than the estimators suggested by Gupta and Shabbir [3] and Grover and Kaur [2].

Keywords:

Auxiliary variable, Bias, Mean squared error Difference estimator, Two-phase sampling,

___

. . .

Hacettepe Journal of Mathematics and Statistics-Cover

Yayın Aralığı: 6
Başlangıç: 2002
Yayıncı: Hacettepe Üniversitesi Fen Fakultesi

Arşiv

Sayıdaki Diğer Makaleler

Computing credibility Bonus-Malus premiums using the total claim amount distribution

Emilio GÓMEZ-DÉNİZ, Agustín HERNÁNDEZ-BASTİDA, M. Pilar FERNÁNDEZ-SÁNCHEZ

FG-morphisms and FG-extensions

Ceren Sultan ELMALI, Tamer UĞUR

Xiaolan Yİ, Xuemei ZHANG, Changwen Lİ

Jump-diffusion CIR model and its applications in credit risk

Common ﬁxed and coincidence point theorems for maps in Menger space with Hadzic type t-norm

K.P.R. RAO, K.Bhanu LAKSHMİ, N. Srinivasa RAO

On the Fibonacciand Lucasnumbers, their sums and permanents of one type of Hessenberg matrices

Fatih YILMAZ, Durmus BOZKURT

The Lindley-Poisson distribution in lifetime analysis and its properties

Wenhao GUİ, Shangli ZHANG, Xinman LU

Emilio GÓMEZ-DÉNİZ, Agustín HERNÁNDEZ-BASTİDA, M. Pilar FERNÁNDEZ-SÁNCHEZ

Ceren Sultan ELMALI, Tamer UĞUR