找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Statistical Quality Technologies; Theory and Practice Yuhlong Lio,Hon Keung Tony Ng,Ding-Geng Chen Book 2019 Springer Nature Switzerland AG

[复制链接]
楼主: 多话
发表于 2025-3-23 10:21:13 | 显示全部楼层
发表于 2025-3-23 16:24:34 | 显示全部楼层
发表于 2025-3-23 18:38:09 | 显示全部楼层
发表于 2025-3-24 00:19:33 | 显示全部楼层
Statistical System Monitoring (SSM) for Enterprise-Level Quality Control of data in production facilities. The data may come from different sources such as process parameters and quality characteristics. However, traditional statistical process control (SPC) tools were not built to take the full advantages of the data provided. Traditional SPC tools such as control char
发表于 2025-3-24 04:36:50 | 显示全部楼层
发表于 2025-3-24 09:40:46 | 显示全部楼层
Sequential Monitoring of Circular Processes Related to the von Mises Distribution in location and/or scale are considered when a process has in-control and out-of-control behavior following a von Mises distribution. Results on existing cumulative sum (cusum) charts are reviewed, and new sequential changepoint methods are developed. These are compared using Monte Carlo simulation
发表于 2025-3-24 11:34:35 | 显示全部楼层
Time Truncated Life Tests Using the Generalized Multiple Dependent State Sampling Plans for Various ill present the design of GMDSS sampling when the failure time follows the gamma distribution, Burr type XII distribution and the Birnbaum-Saunders (BS) distribution. The necessary measures including the operating characteristics (OC) function are derived. The plan parameters of the proposed test pl
发表于 2025-3-24 18:46:57 | 显示全部楼层
Decision Theoretic Sampling Plan for One-Parameter Exponential Distribution Under Type-I and Type-I ntial distribution. The Bayes estimator of the mean lifetime is used to define a decision function. A suitable loss function is considered to derive the Bayes risk of this DSP. A finite algorithm is provided to obtain the optimum DSP and the corresponding Bayes risk. It has been observed numerically
发表于 2025-3-24 22:39:52 | 显示全部楼层
发表于 2025-3-25 02:17:47 | 显示全部楼层
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-5-5 16:32
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表