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: Introduction to Statistical Methods, Design of Experiments and Statistical Quality Control; Dharmaraja Selvamuthu,Dipayan Das Textbook 201

[复制链接]
楼主: complicated
发表于 2025-3-23 13:29:57 | 显示全部楼层
发表于 2025-3-23 17:30:25 | 显示全部楼层
发表于 2025-3-23 18:43:58 | 显示全部楼层
Introduction to Statistical Methods, Design of Experiments and Statistical Quality Control978-981-13-1736-1
发表于 2025-3-24 00:44:35 | 显示全部楼层
Textbook 20181st editiony or statistics is assumed, but an understanding of calculus is a prerequisite. The whole book serves as a master level introductory course in all the three topics, as required in textile engineering or industrial engineering. .Organised into 10 chapters, the book discusses three different courses n
发表于 2025-3-24 03:29:56 | 显示全部楼层
978-981-13-4673-6The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
发表于 2025-3-24 09:47:49 | 显示全部楼层
Dharmaraja Selvamuthu,Dipayan DasCovers the statistical methods, the design of experiments and statistical quality control.Supplies several practical examples and end-of-chapter exercises tested by students in classes.Provides an eas
发表于 2025-3-24 12:06:50 | 显示全部楼层
发表于 2025-3-24 18:27:27 | 显示全部楼层
Response Surface Methodology,Response surface methodology or in short RSM is a collection of mathematical and statistical tools and techniques that are useful in developing, understanding, and optimizing processes and products. Using this methodology, the responses that are influenced by several variables can be modeled, analyzed, and optimized.
发表于 2025-3-24 19:11:36 | 显示全部楼层
https://doi.org/10.1007/978-981-13-1736-1Data Representation; Descriptive Statistics; Sampling Distributions; Point Estimation; Neyman-Pearson Th
发表于 2025-3-25 01:59:21 | 显示全部楼层
Testing of Hypothesis,distribution, based on a random sample. Instead of finding an estimate for the parameter, we shall often find it convenient to hypothesize a value for it and then use the information from the sample to confirm or refute the hypothesized value.
 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, 2025-5-4 22:49
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