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Titlebook: Statistical Modeling for Degradation Data; Ding-Geng (Din) Chen,Yuhlong Lio,Tzong-Ru Tsai Book 2017 Springer Nature Singapore Pte Ltd. 201

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Misspecification Analysis of Gamma with Inverse Gaussian Degradation Processescification is addressed comprehensively. The result demonstrates that the effect on the accuracy of the product’s MTTF prediction strongly depends on the ratio of critical value to the scale parameter of the gamma degradation process.
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Inference on Remaining Useful Life Under Gamma Degradation Models with Random Effects parametric bootstrap confidence interval for the remaining useful life of each system. A Monte Carlo simulation study is carried out to evaluate the performance of the proposed methodology. To illustrate the suggested model and inferential methods, a real data set of light intensity of light emitting diodes is analyzed.
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2199-0980 al developments and real-world applications.Data and computeThis book focuses on the statistical aspects of the analysis of degradation data. In recent years, degradation data analysis has come to play an increasingly important role in different disciplines such as reliability, public health science
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Degradation Modeling, Analysis, and Applications on Lifetime Predictiononducted for different kinds of modeling and analysis approaches, together with the corresponding lifetime prediction results. Furthermore, discussions over related issues like product initial performance are presented.
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Amazon Caatinga Complex: Sclerophyllous Vegetation on Nutrient-Poor White-Sand Soilsomycorrhizal species are common in all caatinga sites, while ectomycorrhizal species are restricted to a relatively small number of genera, belonging mostly to Fabaceae, Nyctaginaceae, and Polygonaceae.
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Marc Helmold,Ayşe Küçük Yılmaz,Tracy DatheExplains the Japanese lean management concepts Kaizen, Kata and Keiretsu.Offers a wealth of best practices, industry examples and case studies.Demonstrates applied lean management in aviation, civil e
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