Wyniki wyszukiwana dla hasla IS P1140496 (Medium) 00145 bd64c30a9510b5eb82a95c582420bd 146 Simpson & Keats nonlinear optimization techniąue is a00161 d9d6ad9473daaf2c66ca66aa7e86e2 162 McWilliams constrain the solution by placing an upper bou00163 8bd8ef6e7bb29535cb91c8bcb2b620 164 McWilliams Constrained Optimization As discussed in the i00189 A37141fa93300ce1faeaaf4f0e37185 190 McWilliams is maximized at r = 2, so the input parameters00196 ?c3e9ff6e1645b5c66f96f0e3b703fa 198 Messina, Montgomery, Keats & Runger The residual for 00197 46d6b71be249eaf6e6dbcf89ce29064 199 Strategies for Statistical Monitoring of Integral Control00210 ?246880ef8acb759604ec0c539ba3cf 212 Messina, Montgomery, Keats & Runger EWMA and tracking00214 5151d685820d3809856989a212338cd 216 Baxley Introduction The usual assumption underlying stati00216 ?e7b2021092421cf45af4c94abbb03e 218 Baxley where the a, ’s are NID(0, a]) representing random00219 a6d333666646e915e39fbc117115f5 221 Applications of the EWMA The Control Algorithm In this al00220 9a3deda68a2d2c688e0ccaa96ad4147 222 Baxley parameters for this algorithm. K is normally set a00227 fa893f5d70e2a8634abfc718a817fdc 229Applications of the EWMA is scaled according to the percen00233 ?994b263585678f9e7929f08dc27281 235 Applications of the EWMA Closed-loop sigma (ar) is calcul00234 ?35b630d34288277a734379e56dd94a 236Basley (actual) sigma of .369. There is seen to be opportu00244 ?a259753683e450f731b8a2757ec91a /-i 246 Yander Wiel N, = a,+X£a, /=o where the a s are iid N 00246 !d6f6da4a401d8c9089d33a3b3c255f 248 Vander Wiel the probabilistic characteristics of run leng00247 ?afe0de1a29bbbc351bff1de393896b Statistical Process Monitoring with Integrated Moving Average00254 07cc71dc7c8b6b356c430eda738c59e 256 Yander Wiel ARLs for large shifts. As with CUSUM schemes,00265 ?c44a3575504351098cf3798ec605dd Statistical Process Monitoring with Integrated Moving Ayerage00305 827fdfc6151ac78772b72625a8b60a 308Peterson & ParveyFigurę 1. Alternative A - DistributedWybierz strone: [
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