Author
George C. Runger
Other affiliations: IBM
Bio: George C. Runger is an academic researcher from Rensselaer Polytechnic Institute. The author has contributed to research in topics: Control chart & Statistical process control. The author has an hindex of 9, co-authored 14 publications receiving 1429 citations. Previous affiliations of George C. Runger include IBM.
Papers
More filters
TL;DR: In this paper, the authors consider several distinct approaches for controlling the mean of a multivariate normal process including two new and distinct multivariate CUSUM charts, several multiple univariate cusum charts, and a Shewhart x2 control chart.
Abstract: We consider several distinct approaches for controlling the mean of a multivariate normal process including two new and distinct multivariate CUSUM charts, several multiple univariate CUSUM charts, and a Shewhart x2 control chart. The performances of th..
519 citations
01 Jan 2003
TL;DR: It was found that respondents do not purchase DVD Ebooks nearly as much anymore, if ever, as Streaming has taken over the Maidenrket, and viewers did not find Ebook quality to besign if icantly different between DVD and online Streaming.
Abstract: Teks ini memberikan pendekatan praktis yang berorientasi pada teknik serta ilmu kimia dan fisika. Siswa belajar bagaimana materi tersebut akan relevan dalam karir mereka melalui integrasi di seluruh rangkaian masalah unik yang mencerminkan aplikasi dan situasi yang realistis. Statistik Terapan, Edisi ke-6 cocok untuk kursus satu atau dua jangka waktu dalam probabilitas dan statistik.
260 citations
TL;DR: In this paper, the authors present a broad overview of generic methods for estimating the capability and designed expertise of a quality engineering system. But they focus on three categories of methods: basic methods, generic methods, and designed methods.
Abstract: (1993). GAUGE CAPABILITY AND DESIGNED EXPERIMENTS. PART I: BASIC METHODS. Quality Engineering: Vol. 6, No. 1, pp. 115-135.
192 citations
TL;DR: A generalization of this standard paradigm removes the restriction of equal waiting times between subgr.. as mentioned in this paper, which typically entail monitoring the process by selecting rational subgroups of equal size at equal time intervals.
Abstract: Statistical process control procedures typically entail monitoring the process by selecting rational subgroups of equal size at equal time intervals. A generalization of this standard paradigm removes the restriction of equal waiting times between subgr..
177 citations
TL;DR: In this paper, experimental design models for the classical gauge repeatability and reproducibility study are discussed, both factorial and nested models are considered, and the conditions under which each model is appropriate are described.
Abstract: This article discusses experimental design models for the classical gauge repeatability and reproducibility study. Both factorial and nested models are considered, and the conditions under which each model is appropriate are described. Point estimates a..
134 citations
Cited by
More filters
Book•
17 May 2013
TL;DR: This research presents a novel and scalable approach called “Smartfitting” that automates the very labor-intensive and therefore time-heavy and therefore expensive and expensive process of designing and implementing statistical models for regression models.
Abstract: General Strategies.- Regression Models.- Classification Models.- Other Considerations.- Appendix.- References.- Indices.
3,672 citations
TL;DR: Three approaches to deciding model validity are described, two paradigms that relate verification and validation to the model development process are presented, and various validation techniques are defined.
Abstract: Verification and validation of simulation models are discussed in this paper. Three approaches to deciding model validity are described, two paradigms that relate verification and validation to the...
1,425 citations
TL;DR: An overview of multivariate statistical methods use for the statistical process control of both continuous and batch multivariate processes and examples are provided of their use for analysing the operations of a mineral processing plant, for on-line monitoring and fault diagnosis of a continuous polymerization process and for the on- line monitoring of an industrial batch polymerization reactor.
1,174 citations
TL;DR: In this article, a multivariate extension of the exponentially weighted moving average (EWMA) control chart is presented, and guidelines given for designing this easy-to-implement multivariate procedure.
Abstract: A multivariate extension of the exponentially weighted moving average (EWMA) control chart is presented, and guidelines given for designing this easy-to-implement multivariate procedure. A comparison shows that the average run length (ARL) performance of this chart is similar to that of multivariate cumulative sum (CUSUM) control charts in detecting a shift in the mean vector of a multivariate normal distribution. As with the Hotelling's χ2 and multivariate CUSUM charts, the ARL performance of the multivariate EWMA chart depends on the underlying mean vector and covariance matrix only through the value of the noncentrality parameter. Worst-case scenarios show that Hotelling's χ2 charts should always be used in conjunction with multivariate CUSUM and EWMA charts to avoid potential inertia problems. Examples are given to illustrate the use of the proposed procedure.
1,174 citations
713 citations