Engineering Statistics

An Introduction

Edward B. Magrab (Autor)

Buch | Hardcover

X, 171 Seiten

2022 | 1st ed. 2022
Springer International Publishing (Verlag)
978-3-031-05009-1 (ISBN)

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This book presents a concise and focused introduction to engineering statistics, emphasizing topics and concepts that a practicing engineer is mostly likely to use: the display of data, confidence intervals, hypothesis testing, fitting straight lines to data, and designing experiments to find the impact of process changes on a system or its output. It introduces the language of statistics, derives equations with sufficient detail so that there is no mystery as to how they came about, makes extensive use of tables to collect and summarize important formulas and concepts, and utilizes enhanced graphics that are packed with visual information to illustrate the meaning of the equations and their usage. The book can be used as an introduction to the subject, to refresh one's knowledge of engineering statistics, to complement course materials, as a study guide, and to provide a resource in laboratories where data acquisition and analysis are performed.

Created specifically forthe book are 16 interactive graphics (IGs) that can be used to replicate all numerical calculations appearing in the book and many of its figures, numerically evaluate all formulas appearing in tables, solve all exercises, and determine probabilities and critical values for commonly used probability distributions. After downloading a free program, the IGs are ready to use and are self-explanatory in the context of the material.

Edward B. Magrab is Emeritus Professor in the Department of Mechanical Engineering at the University of Maryland at College Park. He has extensive experience in analytical and experimental analysis of vibrations and acoustics, served as an engineering consultant to numerous companies, and authored and co-authored books on vibrations, environmental noise control, instrumentation, integrated product design, advanced engineering mathematics, MATLAB (R), and Mathematica (R). He is a Life Fellow of the American Society of Mechanical Engineers.

- 1. Descriptive Statistics and Discrete Probability Distributions. - 2. Continuous Probability Distributions, Confidence Intervals, and Hypothesis Testing. - 3. Regression Analysis and the Analysis of Variance. - 4. Experimental Design. - Appendix A: Moment Generating Function.

Erscheinungsdatum	14.10.2022
Zusatzinfo	X, 171 p. 42 illus., 10 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	433 g
Themenwelt	Mathematik / Informatik ► Mathematik ► Statistik
Themenwelt	Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
Schlagworte	Analysis of Variance • Box-whisker Plots • Chi Square Distribution • confidence intervals • Experimental Design • Experiments with Blocking • f Distribution • histograms • hypothesis testing • linear regression • lognormal • Moment generating function • Multiple Linear Regression • Normal distribution • Poisson distribution • p-value • random variables • repeatability • reproducibility • Scatter Diagrams
ISBN-10	3-031-05009-6 / 3031050096
ISBN-13	978-3-031-05009-1 / 9783031050091
Zustand	Neuware