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Titlebook: Springer Handbook of Engineering Statistics; Hoang Pham Book 2023Latest edition Springer-Verlag London Ltd., part of Springer Nature 2023

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樓主: 萬靈藥
31#
發(fā)表于 2025-3-26 23:08:52 | 只看該作者
Statistics for Reliability Modelingstributions that are used in engineering reliability analysis, including general properties of reliability distributions that pertain to lifetime for manufactured products. Certain distributions are formulated on the basis of simple physical properties, and other are more or less empirical. The firs
32#
發(fā)表于 2025-3-27 04:38:29 | 只看該作者
33#
發(fā)表于 2025-3-27 09:05:51 | 只看該作者
Symmetric Geometric Skew Normal Regression Model (ASN) distribution. The GSN distribution can be a skewed distribution; it can be heavy tailed as well as multimodal also, unlike ASN distribution. It can be easily extended to the multivariate case also. The multivariate geometric skew normal (MGSN) distribution also has several desirable propertie
34#
發(fā)表于 2025-3-27 11:31:03 | 只看該作者
35#
發(fā)表于 2025-3-27 15:39:37 | 只看該作者
36#
發(fā)表于 2025-3-27 19:48:59 | 只看該作者
Progressive Censoring Methodologyapplications, related models, and probabilistic and inferential results for progressively censored data. Based on the fundamental models of progressive type I and type II censoring, we present related models like adaptive and hybrid censoring as well as, e.g., stress-strength and competing risk mode
37#
發(fā)表于 2025-3-27 23:07:22 | 只看該作者
38#
發(fā)表于 2025-3-28 02:42:00 | 只看該作者
Statistical Methods for Quality and Productivity Improvementlity and productivity improvement. Section?. describes in-depth SPC theory and tools for monitoring independent and autocorrelated data with a single quality characteristic. The relationship between SPC methods and automatic process control methods is discussed and differences in their philosophies,
39#
發(fā)表于 2025-3-28 07:24:30 | 只看該作者
40#
發(fā)表于 2025-3-28 12:05:26 | 只看該作者
Six Sigmant business performance in today’s manufacturing and service industries. In this chapter, we provide a systematic and principled introduction of Six Sigma from its various facets. The first part of this chapter describes what Six Sigma is, why we need Six Sigma, and how to implement Six Sigma in pra
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