Estimation of a normal process variance from measurements with large round-off errors

Benson Karhi Diamanta, Dvir Ellite, Regev Itai, Schechtman Edna

نتاج البحث: فصل من :كتاب / تقرير / مؤتمرمنشور من مؤتمرمراجعة النظراء

ملخص

Measurements are sometimes affected by excessively large round-off errors. Small rounding-off may safely be ignored for purposes of statistical inference however large rounding-off may have an effect. The importance of the round-off is determined by the ratio between the standard deviation σ and the instrument's scale step h, δ =σ /h. In this paper we estimate σ when δ is small (δ < 0.5) using a variant of the Method of Moments (MoM). The MoM estimators are compared with the Maximum Likelihood Estimators (MLE), using simulation. We find that the MoM can improve the estimation in terms of MSE and bias, especially under circumstances where the MLE method is not accurate or cannot provide a solution.

اللغة الأصليةالإنجليزيّة
عنوان منشور المضيفRecent Advances in Manufacturing Engineering - Proceedings of the 4th International Conference on Manufacturing Engineering, Quality and Production Systems, MEQAPS'11
الصفحات297-302
عدد الصفحات6
حالة النشرنُشِر - 2011
الحدث4th International Conference on Manufacturing Engineering, Quality and Production Systems, MEQAPS'11 - Barcelona, أسبانيا
المدة: ١٥ سبتمبر ٢٠١١١٧ سبتمبر ٢٠١١

سلسلة المنشورات

الاسمInternational Conference on Manufacturing Engineering, Quality and Production Systems, MEQAPS - Proceedings
رقم المعيار الدولي للدوريات (المطبوع)1792-4693

!!Conference

!!Conference4th International Conference on Manufacturing Engineering, Quality and Production Systems, MEQAPS'11
الدولة/الإقليمأسبانيا
المدينةBarcelona
المدة١٥/٠٩/١١١٧/٠٩/١١

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