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Statistical Methods for Engineers

ISBN-10: 053873518X
ISBN-13: 9780538735186
Edition: 3rd 2011
List price: $356.95
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Book details

List price: $356.95
Edition: 3rd
Copyright year: 2011
Publisher: Brooks/Cole
Publication date: 1/1/2010
Binding: Hardcover
Pages: 648
Size: 8.25" wide x 10.25" long x 1.00" tall
Weight: 3.278
Language: English

Dr. Scott Kowalski received his Ph.D. from the University of Florida, Gainesville. He works as a Technical Trainer at Minitab, Inc. where he mentors Minitab's International Partners on their training efforts and teaches statistics to corporations in the United States, Asia and Australia. Prior to joining Minitab he taught at Stetson University and University of Central Florida. Dr. Kowalski is a Senior Member of ASQ, a member of the American Statistical Association, an Associate Editor for Quality Technology and Quantitative Management, and serves on the Editorial Review Board for the Journal of Quality Technology and Quality Engineering. Along with co-author Geoffrey Vining he was awarded the 2005 Nelson Award winner for paper with the "greatest immediate impact to practitioners" by the Journal of Quality Technology.

Engineering Method and Data Collection
Need for Statistical Methods in Engineering
Engineering Method and Statistical Thinking
Statistical Thinking and Structured Problem Solving
Obtaining Data
Basic Principles of Experimental Design
Examples of Engineering Experiments
Purpose of Engineering Statistics
Case Study: Manufacture of Writing Instruments
Ideas for Projects References
Data Displays
Importance of Data Displays
Stem-and-Leaf Displays
Using Computer Software
Using Boxplots to Analyze Designed Experiments
Case Study
Need for Probability and Distributions
Ideas for Projects References
Modeling Random Behavior
Random Variables and Distributions
Discrete Random Variables
Continuous Random Variables
The Normal Distribution
Random Behavior of Means
Random Behavior of Means When the Variance Is Unknown
Normal Approximation to the Binomial
The Weibull Distribution for Reliability Applications
Case Study References
Estimation and Testing
Hypothesis Testing
Inference for a Single Mean
Inference for a Single Proportion
Inference for Two Independent Samples
The Paired t-Test Inference for Two Proportions
Inference for Variances
Transformations and Nonparametric Analyses
Case Study
Ideas for Projects References
Control Charts and Statistical Process Control
Specification Limits
X- and R-Charts
X- and s?-Charts
X-Chart. np-Chart. c-Chart
Average Run Lengths
Standard Control Charts with Runs Rules
CUSUM and EWMA Charts
Basic Process Capability Indices
The SPC Approach to Gage R Studies
Case Study
Ideas for Projects References
Linear Regression Analysis
Relationships Among Data
Simple Linear Regression
Multiple Linear Regression
Residual Analysis
Collinearity Diagnostics
Case Study
Ideas for Projects References
Introduction to 2k Factorial-Based Experiments
The 2? Factorial Design
The 2k Factorial Design
Fractions of the 2k Factorial Design
Case Study
Ideas for Projects References
Introduction to Response Surface Methodology
Sequential Philosophy of Experimentation
Central Composite Designs
Box-Behnken Designs
Multiple Responses
Experimental Designs for Quality Improvement
Case Study
Ideas for Projects References
The Themes of This Course
Integrating the Themes
Statistics and Engineering

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