Page 7 - Applied statistics and probability for engineers

Wiley Books by These Authors
Website: www.wiley.com/college/montgomery

Engineering Statistics, Fifth Edition
by Montgomery and Runger
Introduction to engineering statistics, with topical coverage appropriate for a one-semester
course. A modest mathematical level, and an applied approach.
Applied Statistics and Probability for Engineers, Sixth Edition
by Montgomery and Runger
Introduction to engineering statistics, with topical coverage appropriate for eityher a one or two-
semester course. An applied approach to solving real-world engineering problems.

Introduction to Statistical Quality Control, Seventh Edition
by Douglas C. Montgomery
For a irst course in statistical quality control. A comprehensive treatment of statistical
methodology for quality control and improvement. Some aspects of quality management are also
included such as the six-sigma approach.

Design and Analysis of Experiments, Eighth Edition
by Douglas C. Montgomery
An introduction to design and analysis of expieriments, with the modes prerequisite of a irst
course in statistical methods. For senior and graduate students for a practitioners, to design and
analyze experiments for improving the quality and eficiency of working systems.

Introduction to Linear Regression Analysis, Fifth Edition
by Mongomery, Peck and Vining
A comprehensive and thoroughly up to date look at regression analysis still most widely used
technique in statistics today.

Response Surface Methodology: Process and Product Optimization Using Designed
Experiments, Third Edition
Website: www.wiley.com/college/myers
The exploration and optimization of response surfaces, for graduate courses in experimental
design and for applied statisticians, engineers and chemical and physical scientists.
Generalized Linear Models: with Applications in Engineering and the Sciences, Second
Edition
by Myers, Montgomery and Vining
Website: www.wiley.com/college/myers
An introductory text or reference on generalized linewar models (GLMs). The range of theoretical
topics and applications appeals both to students and practicing professionals.

Introduction to Time Series Analysis and Forecasting
by Montgomery, Jennings and Kulahci
Methods for modeling and analyzing times series data, to draw inferences about the datat and
generate forecasts useful to he decision maker. Minitab and SAS are used to illustrate how the
methods are implemented in practice. For Advanced undergrad/irst-year graduate, with a prereq-
uisite of basic statistical methods. Portions of the book require calculus and matrix algebra.