Engineering statistics /
Montgomery, Douglas C.
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.
Includes index.
0471448540 (cloth) 0471452408 9780471452409
Statistics.
Probabilities.
519.502462 / MON
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.
Includes index.
0471448540 (cloth) 0471452408 9780471452409
Statistics.
Probabilities.
519.502462 / MON