Scientificness Matters in papers about TBE Control Charts
Résumé
Several authors write about “Rare Events” data, with data are exponentially distributed. They send their papers, on Control Charts for TBE (Time Between Events), to “Good and Reputed Journals or Magazines”, such as Quality and Reliability Engineering International, Communications in Statistics - Theory and Methods, Quality Technology & Quantitative Management, Journal of Quality Technology, Reliability Engineering & System Safety, Quality Engineering, Journal of Statistics and Management Systems, and other, whose Editors “Good and Reputed”. The papers are “Peer Reviewed by Good and Reputed Referees”. Therefore any reader should expect that those papers are “Scientific and based on Scientific Theory”. On the contrary, the papers are WRONG. The letters sent to the Editors are not yet been published: the papers are wrong and obviously the Editors cannot acknowledge that. Good decisions (Quality Decisions) depend on Scientific analysis of data: data must be analysed according their distribution: decisions are different, because they depend on the data distribution. This document is the first of a collection of the author’s papers raising the problem of WRONG TBE Control Charts. The reader will appreciate the big difference between the Shewhart Control Charts and the TBE Control Charts: doing that, the future decisions of the Decision Makers will be both sounder and cheaper, when the data are not normally distributed. The novelty of all the papers is due to the Scientific Way of Computing the Control Limits of the Control Charts, both with Normal distributed data and with Exponential distributed data. In this way a lot of wrong published papers “on Time Between Events” are to be discarded.
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