Modified classes of estimators in circular systematic sampling

Saba RİAZ; Giancarlo DİANA; Javid SHABBİR

Makale detayları

Modified classes of estimators in circular systematic sampling

Yazarlar:

Saba RİAZ | Giancarlo DİANA | Javid SHABBİR

Yayıncı:

Hacettepe University

Ana Başlıklar:

Matematik

Dergi:

Hacettepe Journal of Mathematics and Statistics 2017 Vol.46 Issue 4, pp.743-765

Belge Tipi:

Makale

Yayın Tarihi:

7/2017

Belge Dili:

İngilizce

Document ID (Org No.):

2000452230

Sıklık:

İki Aylık

eISSN:

2651-477X

pISSN:

2651-477X

Özet:

 

In this paper we consider the problem of estimation of population mean in circular systematic sampling design along with the non-responseproblem. For the population mean using auxiliary information three generalized classes of estimators are suggested. The biases and the mean square errors of the suggested classes of estimators are obtained and compared with sample mean, linear regression estimators, [23] estimator and [21] estimators. A numerical study is provided to Show that the proposed classes of estimators based on circular systematic design can be more efficient than the estimators based on simple random sampling. Moreover, a simulation study is accomplished when some population parameters are assumed to be unknown.

Makale detayları

Modified classes of estimators in circular systematic sampling

Yazarlar: Saba RİAZ | Giancarlo DİANA | Javid SHABBİR

Yayıncı: Hacettepe University

Ana Başlıklar: Matematik

Dergi: Hacettepe Journal of Mathematics and Statistics 2017 Vol.46 Issue 4, pp.743-765

Belge Tipi: Makale

Yayın Tarihi: 7/2017

Belge Dili: İngilizce

Document ID (Org No.): 2000452230

Sıklık: İki Aylık

eISSN: 2651-477X

pISSN: 2651-477X

Sayı

Yazarlar:

Saba RİAZ | Giancarlo DİANA | Javid SHABBİR

Yayıncı:

Hacettepe University

Ana Başlıklar:

Matematik

Dergi:

Hacettepe Journal of Mathematics and Statistics 2017 Vol.46 Issue 4, pp.743-765

Belge Tipi:

Makale

Yayın Tarihi:

7/2017

Belge Dili:

İngilizce

Document ID (Org No.):

2000452230

Sıklık:

İki Aylık

eISSN:

2651-477X

pISSN:

2651-477X