The text features a unique approach accentuated by an engaging writing style that explains difficult concepts clearly.
Because statistical analyses are done on computers, the book contains exercises and examples that involve interpreting, as well as generating, computer output. This book may be used effectively with any software package.
"This book is based on the author's more comprehensive text Statistics for Engineers and Scientists, 2nd edition (McGraw-Hill, 2008), which is used for both one- and twosemester courses.
Suitable for a one or two semester course, the book takes a practical approach to methods of statistical modeling and data analysis that are most often used in scientific work.
Based on a graduate course on data analysis that the author has taught for many years, and couched in the looser, workaday language of scientists and engineers who wrestle directly with data, this book is ideal for courses on data analysis ...
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The same outcomes and conclusions are reached as through using statistical methods and readers will find the concepts in this book both familiar and easy to understand.
A mathematically accessible textbook introducing all the tools needed to address modern inference problems in engineering and data science.
This applied book for engineers and scientists, written in a non-theoretical manner, focuses on underlying principles that are important in a wide range of disciplines. It emphasizes...
This book is also an ideal reference for lecturers, educators and newcomers to the field who wish to increase their knowledge of fundamental concepts. Engineering consulting firms will also find the explanations and examples useful.