Engineering statistics : the industrial experience / Bernard Ostle ... [et al.].
Publication details: Belmont ; Albany : Duxbury Press, c1996.Description: xiv, 566 p. and (various pagings) : ill. ; 25 cmISBN:- 0534265383 (acidfree paper)
- 620.001 22 ENG
| Item type | Current library | Call number | Copy number | Status | Date due | Barcode |
|---|---|---|---|---|---|---|
Book Closed Access
|
Engineering Library | 620.001 ENG 1 (Browse shelf(Opens below)) | 1 | Available | BUML23080265 |
CONTENT
Chapter 1 : Statistics : a tool for decision making
1.1 What is statistics
1.2 The design of experiments
1.3 Tools for identifying causes of problems
1.4 Using statistics to solve quality problems
Chapter 2 : Descriptive statistics and graphical displays
2.1 Stem and leaf display
2.2 Frequency distribution, histograms and ogives
2.3 Measures of location
2.4 Measure of variation
etc
Chapter 3 : Probability and probability function
3.1 Basic definitions
3.2 Conditional probability
3.3 The multiplicative law and statistically independent events
etc
Chapter 4 Binomial poisson and hypergeometric distribution
4.1 Bernoulli trail
4.2 Binomial distribution
4.3 Poison distribution
etc
Chapter 5 . Continuous probability distribution
5.1 Normal probability distribution
5.2 Continuous uniform distribution
5.3 Exponential distribution
etc
Chapter 6 Sampling distribution and estimation
6.1 Distribution of the sample mean
6.2 Estimating a population mean
6.3 Estimating the difference between two means
etc
Chapter 7 . Statistical testing of hypothesis
7.1 Tests concerning o population mean
7.2 Shapior wilk W test for normality
7.3. Test concerning the difference between two means
etc
Chapter 8 : Shewhart control charts
8.1 Variables control charts
8.2 Basic control charts principles
8.3 Control charts of ungrouped measurements
etc
Chapter 9. Measurement system evaluation
9.1 Estimating the repeatability
9.2 Estimating the reproductively
9.3 Estimating the combined repeatability and reproductively
etc
Chapter 10 .Process capability studies
10.1 Evaluating the process performance during the study
10.2 Estimating the process capability
10.3 Monitoring the process based on the capability result
etc
Chapter 11. An introduction to regression analysis
11.1 The statistical model in simple linear regression
11.2 Least squares estimators of B0 AND B1
ETC
Chapter 12 .Design and analysis of single factor experiments
12.1 The completely randomized experiment with one factor
12.2 Randomized complete block design
Chapter 13 . Design and anlysis of multifactor experiment
13.1 Introduction to factorial experiments
13.2 Fractional replicate of 2f factorial experiments
13.3 The taguchi approach to designing 2f-k fractional factorials
etc
Index : p11-16
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