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Statistical methods for implementation of Six Sigma -- Selected illustrations of distribution identification studies by ISO is a reference work available to read on EtoBox.

What is Statistical methods for implementation of Six Sigma -- Selected illustrations of distribution identification studies about?

Foreword 0 Introduction 0 1 Scope 0 2 Normative references 0 3 Terms and definitions 0 4 Symbols and abbreviated terms 0 5 Basic principles 0 5.1 General 0 5.2 Exploratory data analysis (EDA) 0 5.3 Discrete data case 0 5.3.1 Graphical methods 0 5.3.2 Numerical methods 0 5.4 Continuous data case 0 5.4.1 Graphical methods 0 5.4.2 Numerical methods 0 5.4.3 Distribution family unknown and no prior information available 0 6 General description of distribution identification 0 6.1 Overview of the structure of distribution identification 0 6.2 State overall objectives 0 6.3 Formulate a model theory 0 6.4 Collect, prepare and explore data 0 6.5 Select underlying probability distributions 0 6.6 Perform goodness of fit test 0 6.7 Draw conclusions 0 7 Examples 0 Annex A (informative) Test uniformity in the Super Lotto 0 Annex B (informative) Distribution of the number of technical issues found after product release to the field 0 Annex C (informative) Software development effort estimation 0 Annex D (informative) Determining the warranty period of a product 0 Bibliography 0

Who reads Statistical methods for implementation of Six Sigma -- Selected illustrations of distribution identification studies?

It is typically read by working professionals who need an authoritative practice reference.

Common subject areas: medicine, law, business, engineering.

Author
ISO
Language
EN
Category
reference

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