Statistics for Engineers: An Introduction with Examples from Practice

ISBN-13: 9783658323967 / Angielski / Miękka / 2021 / 130 str.

Hartmut Schiefer; Felix Schiefer

Spis treści

Statistical Design of Experiments (DoE).- Characterizing the Sample and Population.-  Statistical Measurement Data and Production.- Error Analysis (Error Calculation).- Statistical Tests.- Correlation.- Regression.

O autorze

Prof. Dr.-Ing. Hartmut Schiefer lectured in the Department of Mechanical Engineering at Furtwangen University and elsewhere. He has conducted research into polymer rheology and the structure and properties of polymers.

Dr.-Ing. Pat.-Ing. Felix Schiefer is employed at an international corporation, where he works in the Research & Development and Patent departments.

Blurb

This book describes how statistical methods can be effectively applied in the work of an engineer in terms that can be readily understood. Application of these methods enables the effort involved in experiments to be reduced, the results of these experiments to be fully evaluated, and statistically sound statements to be made as a result. Products can be developed more efficiently and manufactured more cost-effectively, not to mention with greater process reliability. The overarching aim is to save time, money, and materials. From the examples provided, the nature of the practical application can be clearly grasped in each case.

This book is a translation of the original German 1^st edition Statistik für Ingenieure by Hartmut Schiefer and Felix Schiefer, published by Springer Fachmedien Wiesbaden GmbH, part of Springer Nature in 2018. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). The present version has been revised technically and linguistically by the authors in collaboration with a professional translator. Springer Nature works continuously to further the development of tools for the production of books and on the related technologies to support the authors.

The Content

Statistical Design of Experiments (DoE) – Characterizing the Sample and Population –  Statistical Measurement Data and Production – Error Analysis (Error Calculation) – Statistical Tests – Correlation – Regression.

The Target Groups

• Engineers 
• Students with courses in statistics

About the Authors

Prof. Dr.-Ing. Hartmut Schiefer lectured in the Department of Mechanical Engineering at Furtwangen University and elsewhere. He has conducted research into polymer rheology and the structure and properties of polymers.

Dr.-Ing. Pat.-Ing. Felix Schiefer is employed at an international corporation, where he works in the Research & Development and Patent departments.