Special Features: · More Motivation· Revised Probability Topics· Chapter Reorganization· Real Engineering Applications· Real Data, Real Engineering Situations· Use of the Computer· Problems, examples, and exercises have all been thoroughly updated to reflect today's engineering realities About The Book: Written by engineers, this edition uses a practical, applied approach that is more oriented to engineering than any other text available. Instead of a few engineering examples mixed in with examples from other fields, all of its unique problem sets reflect the types of situations encountered by engineers in their working lives.
Applied Statistics 3rd Edition Just Ask Edition with Student Workbook Set
This concise book for engineering and sciences students emphasizes modern statistical methodology and data analysis.
Applied Statistics and Probability for Engineers, 7E
This e-Text features enlarged figures, worked-out solutions, links to data sets for problems solved with a computer, multiple links between glossary terms and text sections for quick and easy reference, and a wealth of additional material ...
"Written by two of the leading figures in statistics, this highly regarded volume thoroughly addresses the full range of required topics." provides early discussed fundamental concepts such as variability, graphical...
Written by engineers, it uses a practical, applied approach that is more oriented to engineering than any other text available.
Kutner, Nachtsheim, Neter, Li (2005), Applied Linear Statistical Models, 4th ed., McGraw-Hill/Irwin, Columbus, OH. The first part of the book is an introduction to simple and multiple linear regression. The orientation is to business ...
The book also features: Detailed discussions on sampling distributions, statistical estimation of population parameters, hypothesis testing, reliability theory, statistical quality control including Phase I and Phase II control charts, and ...
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...
Montgomery, Runger, and Hubele provide modern coverage of engineering statistics, focusing on how statistical tools are integrated into the engineering problem-solving process.