![]() Commun Stat Simul Comput 38(8):1579–1591.I use LSTM network in Keras. Yen CH, Chang CH (2009) Designing variables sampling plans with process loss consideration. Wu CW, Pearn WL (2008) A variables sampling plan based on C pmk for product acceptance determination. Wu CW, Aslam M, Jon CH (2012) Variables sampling inspection scheme for resubmitted lots based on the process capability index C pk. Vännman K, Kulahci M (2008) A model-free approach to eliminate autocorrelation when testing for process capability. Serfling RJ (1980) Approximation theorems of mathematical statistics. In: Kotz S, Read CB, Balakrishnan N, Vidakovic B, Johnson LN (eds) Encyclopedia of statistical sciences, 2nd edn. Scholz FW (2006) Maximum likelihood estimation. Scagliarini M (2018) A sequential hypothesis testing procedure for the process capability index C Pk. R Foundation for Statistical Computing, Vienna R Core Team (2020) R: a language and environment for statistical computing. In: Khattree B, Rao CR (eds) Handbook of statistics, chapter 17, vol 22. Polansky AM, Kirmani SNUA (2003) Quantifying the capability of industrial processes. Perakis M, Xekalaki E (2003) On a comparison of the efficacy of various approximations of the critical values for tests on the process capability indices C PL, C PU, C Pk. Pearn WL, Wu CW (2006b) Variables sampling plans with PPM fraction of defectives and process loss consideration. Pearn WL, Wu CW (2006a) Critical acceptance values and sample sizes of a variables sampling plan for very low fraction of defectives. Pearn WL, Shu MH, Hsu BM (2005) Monitoring manufacturing quality for multiple Li-BPIC processes based on capability index C pmk. Pearn WL, Lin PC (2004) Testing process performance based on capability index C pk with critical values. Pearn WL, Lin PC (2002) Computer program for calculating the p-value in testing process capability index C pmk. Pearn WL, Kotz S (2006) Encyclopedia and handbook of process capability indices: a comprehensive exposition of quality control measures. Pearn WL, Chen KS (1999) Making decision in assessing process capability index Cpk. Negrin I, Parmet Y, Schechtman E (2011) Developing a sampling plan based on C pk-unknown variance. Negrin I, Parmet Y, Schechtman E (2009) Developing a sampling plan based on C pk. Montgomery D (2009) Introduction to statistical quality control, 6th edn. Lin GH (2006) A hypothesis testing procedure on assessing process performance. Lepore A, Palumbo B, Castagliola P (2018) A note on decision making method for product acceptance based on process capability indices C pk and C pmk. Lepore A, Palumbo B (2015) New insights into the decisional use of process capability indices via hypothesis testing. Hussein A, Ahmed SE, Bhatti S (2012) Sequential testing of process capability indices. Hussein A (2005) Sequential comparison of two treatments using weighted wald-type statistics. Hubele NF, Vännman K (2004) The effect of pooled and un-pooled variance estimators on C pm when using subsamples. Kotz S, Lovelace CR (1998) Introduction to process capability indices: theory and practice. Kane VE (1986) Process capability indices. Int J Oper Res 3(1):56–75įeller W (1970) An Introduction to probability theory and its Applications, vol II. įan S, Kao C (2006) Development of confidence interval and hypothesis testing for Taguchi capability index using a Bayesian approach. Birkhäuser Verlag, BaselĬhen SM, Hsu YS (2004) Uniformly most powerful test for process capability index C pk. Springer, New Yorkīorodin AB, Salminen P (1996) Handbook of Brownian motion-facts and formulae. ![]() Arizono I, Kanagawa A, Ohta H, Watakabe K, Tateishi K (1997) Variable sampling plans for normal distribution indexed by Taguchi’s loss function. ![]()
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