Engineering statistics /
Douglas C. Montgomery, George C. Runger, Norma Faris Hubele.
- 3rd edition.
- New York : Wiley, c2004.
- xiii, 461 p. : ill. ; 26 cm.
CONTENT
Chapter 1 The role of statistics in Engineering The engineering method and statistical thinking Collecting engineering data Mechanistic and empirical models Observing processes over time
Chapter 2 Data summary and presentation Data summary and display Stem and leaf diagram Histogram Box plot Time series Multivariate data
Chapter 3 Random variables and probability distributions Introduction Random variables Probability Important continuous Probability plots Discrete random variable Cumulative distribution etc.
Chapter 4 Decision making for a single sample Statistical inference Point estimation Hypotheses Inference on the mean of population variance known Inference on the mean of population variance unknown etc.
Chapter 5 Decision making for two samples Introduction Inference on the means of two populations, variances known Inference on the means of two population variances unknown The paired t-test Inference on two population proportions Summary tables for inference procedure for two samples What if we have more than two samples?
Chapter 6 Building empirical models Introduction to empirical models Simple linear regression Multiple regression Other aspects of regression
Chapter 7 Design of engineering experiments The strategy of experimentation Factorial experiments Fractional replication of a 2k design Response surface methods and design Factorial experiments with more than two levels
Chapter 8 Statistical process control Quality improvement and statistics Statistical process control Introduction to control charts X and R control charts Control charts for individual measurements etc.