Applied Engineering Statistics Applied Engineering Statistics

Applied Engineering Statistics

    • ‏59٫99 US$
    • ‏59٫99 US$

وصف الناشر

Thoroughly updated throughout, this second edition will continue to be about the practicable methods of statistical applications for engineers, and as well for scientists and those in business. It remains a what-I-wish-I-had-known-when-starting-my-career compilation of techniques.

Contrasting a mathematical and abstract orientation of many statistics texts, which expresses the science/math values of researchers, this book has its focus on the application to concrete examples and the interpretation of outcomes. Supporting application propriety, this book also presents the fundamental concepts, provides supporting derivation, and has frequent do and not-do notes.

Key Features:
Contains details of the computation for the examples. Includes new examples and exercises. Includes expanded topics supporting data analysis.
The book is for upper-level undergraduate or graduate students in engineering, the hard sciences, or business programs. The intent is that the text would continue to be useful in professional life, and appropriate as a self-learning tool after graduation – whether in graduate school or in professional practice.

Errata can be found here

النوع
علم وطبيعة
تاريخ النشر
٢٠٢١
١ نوفمبر
اللغة
EN
الإنجليزية
عدد الصفحات
٥٠٠
الناشر
CRC Press
البائع
Taylor & Francis Group
الحجم
١٣٫٤
‫م.ب.‬
Statistics for Technology Statistics for Technology
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Statistical Hypothesis Testing in Context Statistical Hypothesis Testing in Context
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Applying Contemporary Statistical Techniques Applying Contemporary Statistical Techniques
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Nonlinear Regression Modeling for Engineering Applications Nonlinear Regression Modeling for Engineering Applications
٢٠١٦
Data Driven Statistical Methods Data Driven Statistical Methods
٢٠١٩
Introduction to Statistics and Data Analysis Introduction to Statistics and Data Analysis
٢٠٢٣
Engineering Optimization Engineering Optimization
٢٠١٨
Nonlinear Regression Modeling for Engineering Applications Nonlinear Regression Modeling for Engineering Applications
٢٠١٦