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Of particular interest is the estimation of the mean response and process variance.
One cause changes the process mean and the other changes the process variance.
The Shewhart R control chart (R chart) has been widely used to monitor process variance.
Based on the analysis, recommendations for minimizing process variance in the resistance spot welding process are provided.
Under this assumption, the sample mean and variance are often used to estimate the process mean and the process variance at each design point.
Incorrect adjustment of a process may result in shifts in process mean, process variance, or both, ultimately affecting the quality of products.
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The objective functions are formulated for minimization of power consumption in the rolling process, variances between ideal dimensions and design dimensions, as well as variances between the lengths of contact arcs.
Name Symbol Value AR coefficient 0.9987 Phase process noise variance 10 Frequency process noise variance 100 Amplitude process noise variance 0.0002 Average process noise variance 0.001 Measurement noise variance 1 Mean frequency 100 Hz is a sample interval.
Particularly, we show the results when estimating (a) Calcium maximal conductance, (b) Potassium maximal conductance, (c) both Calcium and Potassium maximal conductances, (d) process noise variance, (e) measurement noise variance, and (f) Calcium and Potassium maximal conductances plus process noise variance.
Name Symbol Value AR Coefficient 0.99999 Frequency process noise variance 0.2 Amplitude process noise variance 10 Mean frequency 100 Hz.
Recently, Zhou et al. [6] studied the precise asymptotics of a special kind of statistics, which includes the U-statistics, Von-Mises statistics, linear processes, moving average processes, error variance estimates in linear models and power sums.
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