Logo

Engineering Statistics Handbook

Small book cover: Engineering Statistics Handbook

Engineering Statistics Handbook

Publisher: NIST/SEMATECH

Description:
The goal of this handbook is to help scientists and engineers incorporate statistical methods in their work as efficiently as possible. Many parts of the book feature case studies or short examples with computations from Dataplot, the free, downloadable software.

Home page url

Download or read it online for free here:
Download link
(multiple PDF files)

Similar books

Book cover: An Introduction to Solving Engineering Problems with MatlabAn Introduction to Solving Engineering Problems with Matlab
by - CK-12 Foundation
Matlab is a language used by several computational packages known as m-file environments. This text introduces freshman engineering students to problem solving using an m-file environment. Most of the information applies to any environment.
(11185 views)
Book cover: Fundamental Engineering Optimization MethodsFundamental Engineering Optimization Methods
by - Bookboon
This book is addressed to engineering students and practicing engineers. It covers the fundamentals of commonly used optimization methods in engineering design. These include graphical optimization, linear and nonlinear programming, etc.
(5961 views)
Book cover: Engineering Reliability: New Techniques and ApplicationsEngineering Reliability: New Techniques and Applications
by - John Wiley & Sons
The scope of reliability engineering is extremely wide, encompassing many areas of engineering technology. Reliability engineering helps ensure the success of space missions, maintain the national security, provide reliable transportation, and so on.
(3124 views)
Book cover: The Art of Insight in Science and Engineering: Mastering ComplexityThe Art of Insight in Science and Engineering: Mastering Complexity
by - The MIT Press
Sanjoy Mahajan shows us that the way to master complexity is through insight rather than precision. He first teaches the tools for organizing complexity, then distinguishes two paths for discarding complexity: with and without loss of information.
(4402 views)