Students who have basic knowledge of probability and statistics will find this textbook highly approachable. Excel files containing the sample data and Minitab and Python example files are also provided. The textbook enables readers to effectively use software to efficiently process massive amounts of data while also reducing human error.Įxamples and case studies as well as exercises and questions are included throughout to enable a smooth learning experience.
Minitab 19 how to#
Reliability Analysis Using Minitab and Python expertly applies Minitab and Python programs to the field of reliability engineering, presenting basic concepts and explaining step-by-step how to implement statistical distributions and reliability analysis methods using the two programming languages. This book introduces how to perform reliability analysis using Minitab and Python."-īook Synopsis Reliability Analysis Using MINITAB and PythonĬomplete overview of the theory and fundamentals of Reliability Analysis applied with Minitab and Python tools Reliability tools allow us to process massive amounts of data quickly and automate our analysis methods efficiently. It is the reliability tool that helps to perform these analysis methods efficiently.
We want to quantitatively and accurately predict the reliability of products and services using various statistical distributions and probabilities. This book is based on the statistical theory of how to analyze reliability. With the development of these technologies, the importance of reliability is increasing. With the development of technology, we live in a society that uses more complex and sophisticated physical and digital products. About the Book "Reliability is a vital and effective field to analyze how long products and services can show satisfactory performance without failure.
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