BSI PD ISO/TR 20693:2019
$167.15
Statistical methods for implementation of Six Sigma. Selected illustrations of distribution identification studies
| Published By | Publication Date | Number of Pages |
| BSI | 2019 | 42 |
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.
It only considers one dimensional distribution with one mode. The underlying distribution is either continuous or discrete.
PDF Catalog
| PDF Pages | PDF Title |
|---|---|
| 2 | National foreword |
| 6 | Foreword |
| 7 | Introduction |
| 9 | 1 Scope 2 Normative references 3 Terms and definitions |
| 10 | 4 Symbols and abbreviated terms |
| 11 | 5 Basic principles 5.1 General |
| 12 | 5.2 Exploratory data analysis (EDA) 5.3 Discrete data case 5.3.1 Graphical methods 5.3.2 Numerical methods |
| 13 | 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 |
| 14 | 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 |
| 15 | 6.4 Collect, prepare and explore data |
| 16 | 6.5 Select underlying probability distributions 6.6 Perform goodness of fit test 6.7 Draw conclusions |
| 17 | 7 Examples |
| 18 | Annex A (informative) Test uniformity in the Super Lotto |
| 21 | Annex B (informative) Distribution of the number of technical issues found after product release to the field |
| 26 | Annex C (informative) Software development effort estimation |
| 34 | Annex D (informative) Determining the warranty period of a product |
| 41 | Bibliography |
Related products
-
BSI PD ISO/TR 20694:2018
A typology of language registers Published By Publication Date Number of Pages BSI 2018 26
