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

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

פרסום מחקרי: פרק בספר / בדוח / בכנספרסום בספר כנסביקורת עמיתים

תקציר

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.

שפה מקוריתאנגלית
כותר פרסום המארחRecent Advances in Manufacturing Engineering - Proceedings of the 4th International Conference on Manufacturing Engineering, Quality and Production Systems, MEQAPS'11
עמודים297-302
מספר עמודים6
סטטוס פרסוםפורסם - 2011
אירוע4th International Conference on Manufacturing Engineering, Quality and Production Systems, MEQAPS'11 - Barcelona, ספרד
משך הזמן: 15 ספט׳ 201117 ספט׳ 2011

סדרות פרסומים

שםInternational Conference on Manufacturing Engineering, Quality and Production Systems, MEQAPS - Proceedings
ISSN (מודפס)1792-4693

כנס

כנס4th International Conference on Manufacturing Engineering, Quality and Production Systems, MEQAPS'11
מדינה/אזורספרד
עירBarcelona
תקופה15/09/1117/09/11

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