Confidence Intervals for the Coefficient of Variation in a Normal Distribution with a Known Population Mean

المؤلف

Panichkitkosolkul, Wararit

المصدر

Journal of Probability and Statistics

العدد

المجلد 2013، العدد 2013 (31 ديسمبر/كانون الأول 2013)، ص ص. 1-11، 11ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2013-11-21

دولة النشر

مصر

عدد الصفحات

11

التخصصات الرئيسية

الرياضيات

الملخص EN

This paper presents three confidence intervals for the coefficient of variation in a normal distribution with a known population mean.

One of the proposed confidence intervals is based on the normal approximation.

The other proposed confidence intervals are the shortest-length confidence interval and the equal-tailed confidence interval.

A Monte Carlo simulation study was conducted to compare the performance of the proposed confidence intervals with the existing confidence intervals.

Simulation results have shown that all three proposed confidence intervals perform well in terms of coverage probability and expected length.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Panichkitkosolkul, Wararit. 2013. Confidence Intervals for the Coefficient of Variation in a Normal Distribution with a Known Population Mean. Journal of Probability and Statistics،Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-463595

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Panichkitkosolkul, Wararit. Confidence Intervals for the Coefficient of Variation in a Normal Distribution with a Known Population Mean. Journal of Probability and Statistics No. 2013 (2013), pp.1-11.
https://search.emarefa.net/detail/BIM-463595

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Panichkitkosolkul, Wararit. Confidence Intervals for the Coefficient of Variation in a Normal Distribution with a Known Population Mean. Journal of Probability and Statistics. 2013. Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-463595

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-463595