Some improved estimators in double sampling using two auxiliary variables

Other Title(s)

بعض المقدرات المتطورة في العينات المزدوجة باستخدام اثنين من المتغيرات المساعدة

Author

Ahmad, Muhammad S.

Source

Sultan Qaboos University Journal for Science

Issue

Vol. 19, Issue 2 (31 Dec. 2014), pp.97-100, 4 p.

Publisher

Sultan Qaboos University College of Science

Publication Date

2014-12-31

Country of Publication

Oman

No. of Pages

4

Main Subjects

Mathematics

Abstract AR

داش و ميشرا 1 اقترحا فئة متطورة للمقدرات بدون تحديد المقدر الأمثل و لكن للأسف أعطوا التعبير الخاطئ لسلسة تايلو للفئه المقدرة و أيضا تعابير الحد الأدنى لمتوسط الخطأ التربيعي لها أيضا غير صحيحه.

و قد بينا هنا أن فئة من سلسلة المقدرات لأحمد وآخرون.

[2[ هي أكثر كفاءة من داش و ميشرا [1[ مع الحد الأدنى لمتوسط الخطأ التربيعي.

Abstract EN

Dash and Mishra [1] suggested an improved class of estimators without defining the optimum estimator.

However, they gave the wrong Taylor’s series expression of their class of estimator and their minimum mean squared error expressions are also incorrect.

Here we show that Ahmed et al.’s [2] class of chain estimators is more efficient than Dash and Mishra’s [1], with minimum mean squared error.

American Psychological Association (APA)

Ahmad, Muhammad S.. 2014. Some improved estimators in double sampling using two auxiliary variables. Sultan Qaboos University Journal for Science،Vol. 19, no. 2, pp.97-100.
https://search.emarefa.net/detail/BIM-531872

Modern Language Association (MLA)

Ahmad, Muhammad S.. Some improved estimators in double sampling using two auxiliary variables. Sultan Qaboos University Journal for Science Vol. 19, no. 2 (2014), pp.97-100.
https://search.emarefa.net/detail/BIM-531872

American Medical Association (AMA)

Ahmad, Muhammad S.. Some improved estimators in double sampling using two auxiliary variables. Sultan Qaboos University Journal for Science. 2014. Vol. 19, no. 2, pp.97-100.
https://search.emarefa.net/detail/BIM-531872

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 99-100

Record ID

BIM-531872