外面
发表于 2025-3-25 07:10:15
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憎恶
发表于 2025-3-25 11:08:27
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LIKEN
发表于 2025-3-25 14:20:05
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MONY
发表于 2025-3-25 16:01:36
Statistical Process Control (SPC),r ensuring controlled and quality capable manufacturing processes in industrial practice. Statistical process control is a way of maintaining an optimized manufacturing process in an optimized state through continuous monitoring and, if necessary, corrections.
用手捏
发表于 2025-3-25 22:31:04
Textbook 2024modelling. The methods of Reliability Engineering are applied in the elementary phases of the product emergence process (concept and series development, production) as well as during the field use of technical products. This book contains a detailed outline of the basics of statistics, graphical vis
两种语言
发表于 2025-3-26 02:48:12
Elementary Terms,is selectively supplemented by a technical perspective to facilitate understanding in the engineering application context. Terms are defined respectively explained from disciplines Technical Realiability, product and process characteristics, maintenance, measurement/testing processes and risk analytics.
Iatrogenic
发表于 2025-3-26 07:55:36
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傻
发表于 2025-3-26 11:21:54
Probability and Random Experiments, explained. The focus of Sect. 5.2 is on pobabilistics, first presented fundamentally for the simple case of two events. Subsequently, multistage random experiments are discussed, focusing on event trees, total probability and Bayes’ theorem.
Type-1-Diabetes
发表于 2025-3-26 12:44:17
Data Collection and First Analysis Steps,riance, proportion) are presented in Sect. 6.3. The application of different estimators for the parameters mean and variance on the basis of available samples is presented in Sect. 6.4 and concludes with the comparison of different mean and variance estimators as well as the skewness of a measurement series.
归功于
发表于 2025-3-26 16:47:02
Distribution Models and Functions,s (Sect. 7.3). Subsequently, Sect. 7.4 is focusing to discrete distribution models. Section 7.5 focuses on the saturation function, which can be used in the analysis of complex damage events. Section 7.6 concludes with an overview of mixed distribution models.