ISO/TC 69/SC 7/WG 1 - Design of experiments
Plans d'expérience
General Information
Frequently Asked Questions
ISO/TC 69/SC 7/WG 1 is a Subcommittee within the International Organization for Standardization (ISO). It is named "Design of experiments". This committee has published 2 standards.
ISO/TC 69/SC 7/WG 1 develops ISO standards in the area of Information technology. Currently, there are 2 published standards from this subcommittee.
The International Organization for Standardization (ISO) is an independent, non-governmental international organization that develops and publishes international standards. Founded in 1947 and headquartered in Geneva, Switzerland, ISO brings together experts from 170+ member countries to share knowledge and develop voluntary, consensus-based standards that support innovation and provide solutions to global challenges.
A Subcommittee (SC) in ISO operates under a Technical Committee and focuses on a specific subset of the TC's scope. Subcommittees develop standards and technical specifications in their specialized area, reporting to their parent Technical Committee. They may also have working groups for detailed technical work.
This document describes the necessary steps of the one-way and two-way analyses of variance (ANOVA) for fixed effect models in balanced design. Unbalanced design, random effects and nested design patterns are not included in this document. This document provides examples to analyse the differences among group means by splitting the overall observed variance into different parts. Several illustrations from different fields with different emphasis suggest the procedure of the analysis of variance.
- Technical report56 pagesEnglish languagesale 15% off
ISO/TR 13195:2015 describes the steps necessary to understand the scope of Response Surface Methodology (RSM) and the method to analyse data collected using Central Composite Designs (CCD) through illustration with four distinct applications of this methodology. Response surface methodology (RSM) is used in order to investigate a relation between the response and the set of quantitative predictor variables or factors. Especially after specifying the vital few controllable factors, RSM is used in order to find the factor setting which optimizes the response.
- Technical report80 pagesEnglish languagesale 15% off
- Technical report80 pagesEnglish languagesale 15% off