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Titlebook: Industrial Statistics; Aims and Computation Christos P. Kitsos,Lutz Edler Conference proceedings 1997 Springer-Verlag Berlin Heidelberg 199

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Taking Multivariate Statistics out into Industry — Multivariate Statistical Progress Control and Proontribute to comprehensive improvements in an industrial process. Univariate SPC has been widely applied in industry but it effectively only detects disturbances related to individual measurement sources (usually quality) and consequently provides little information about the interactions between al
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Sources of Inaccuracy in the Mean and Variance Models for Quality Improvement Problemse following sources of inaccuracy on the mean and variance is considered: incorrect regression model of performance characteristic, neglecting the high order error distribution moments and random character of the regression coefficient estimates.
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Accelerated Life Test with Some Parameter Change in Life-Stress Relationevels. But in many practical situations, the upper bound of the stress levels under which such parameters keep unchanged is often unknown. In this paper we study the situation that the life-stress relation keeps unchanged, however, some parameters involved may be changed if it is over-stressed. A ge
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Accurate Inferences for the Reliability Function Considering Accelerated Life Testsate inferences on the reliability function at time ..in a specified stress level ... We use a reparametrization proposed by Guerrero and Johnson (1982) exploring a nonnormality measure for likelihood functions and posterior densities introduced by Kass and Slate (1992).
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Prediction of Failures that Have Never Occured: Exponential Case been in service for a long time. Sometimes it even happens, that components of given type are observed for years (several decades) and no failures have occurred all the while. In this paper we shall describe several possibilities what to do in such a situation under the assumption, that the stream
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Developing a Graphical Interface for Pre-Posterior Bayesian Analysisntal data, but usually possesses other knowledge and/or past experience. In fact this statistical procedure, via Bayes theorem, is able to incorporate both professional and statistical pieces of information..In this work, the authors, developing a prototype of graphical interface, show advantages of
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Nonlinear-Optimal-Sequential Experiment Designs and Applicationsntial approach is adopted to reach an optimum experiment design, which is defined through the average per observation iformation matrix. Different applications are discussed and the simulated results presented provide evidence that the sequential approach might be the panacea for solving a non-linea
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Robust Inference and Experimental Design for Multi-Factor Modelstotic bias in shrinking contamination neighbourhoods are used. It is shown that one-step M-estimators can combine high breakdown point, small asymptotic bias and high efficiency. For tests similar results can be shown by basing the tests on one-step M-estimaters. It turns out that highest efficiency
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