{"id":356545,"date":"2024-10-20T01:12:55","date_gmt":"2024-10-20T01:12:55","guid":{"rendered":"https:\/\/pdfstandards.shop\/product\/uncategorized\/bsi-pd-iso-tr-206932019\/"},"modified":"2024-10-26T01:36:29","modified_gmt":"2024-10-26T01:36:29","slug":"bsi-pd-iso-tr-206932019","status":"publish","type":"product","link":"https:\/\/pdfstandards.shop\/product\/publishers\/bsi\/bsi-pd-iso-tr-206932019\/","title":{"rendered":"BSI PD ISO\/TR 20693:2019"},"content":{"rendered":"
This document provides guidelines for the identification of distributions related to the implementation of Six Sigma. Examples are given to illustrate the related graphical and numerical procedures.<\/p>\n
It only considers one dimensional distribution with one mode. The underlying distribution is either continuous or discrete.<\/p>\n
PDF Pages<\/th>\n | PDF Title<\/th>\n<\/tr>\n | ||||||
---|---|---|---|---|---|---|---|
2<\/td>\n | National foreword <\/td>\n<\/tr>\n | ||||||
6<\/td>\n | Foreword <\/td>\n<\/tr>\n | ||||||
7<\/td>\n | Introduction <\/td>\n<\/tr>\n | ||||||
9<\/td>\n | 1 Scope 2 Normative references 3 Terms and definitions <\/td>\n<\/tr>\n | ||||||
10<\/td>\n | 4 Symbols and abbreviated terms <\/td>\n<\/tr>\n | ||||||
11<\/td>\n | 5 Basic principles 5.1 General <\/td>\n<\/tr>\n | ||||||
12<\/td>\n | 5.2 Exploratory data analysis (EDA) 5.3 Discrete data case 5.3.1 Graphical methods 5.3.2 Numerical methods <\/td>\n<\/tr>\n | ||||||
13<\/td>\n | 5.4 Continuous data case 5.4.1 Graphical methods 5.4.2 Numerical methods 5.4.3 Distribution family unknown and no prior information available <\/td>\n<\/tr>\n | ||||||
14<\/td>\n | 6 General description of distribution identification 6.1 Overview of the structure of distribution identification 6.2 State overall objectives 6.3 Formulate a model theory <\/td>\n<\/tr>\n | ||||||
15<\/td>\n | 6.4 Collect, prepare and explore data <\/td>\n<\/tr>\n | ||||||
16<\/td>\n | 6.5 Select underlying probability distributions 6.6 Perform goodness of fit test 6.7 Draw conclusions <\/td>\n<\/tr>\n | ||||||
17<\/td>\n | 7 Examples <\/td>\n<\/tr>\n | ||||||
18<\/td>\n | Annex A (informative) Test uniformity in the Super Lotto <\/td>\n<\/tr>\n | ||||||
21<\/td>\n | Annex B (informative) Distribution of the number of technical issues found after product release to the field <\/td>\n<\/tr>\n | ||||||
26<\/td>\n | Annex C (informative) Software development effort estimation <\/td>\n<\/tr>\n | ||||||
34<\/td>\n | Annex D (informative) Determining the warranty period of a product <\/td>\n<\/tr>\n | ||||||
41<\/td>\n | Bibliography <\/td>\n<\/tr>\n<\/table>\n","protected":false},"excerpt":{"rendered":" Statistical methods for implementation of Six Sigma. Selected illustrations of distribution identification studies<\/b><\/p>\n |