TY  - BOOK
AU  - Ostle,Bernard
TI  - Engineering statistics: the industrial experience 
SN  - 0534265383 (acidfree paper)
U1  - 620.001 22
PY  - 1996///
CY  - Belmont, Albany : 
PB  - Duxbury Press
KW  - Engineering
KW  - Statistical methods
N1  - 

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
ER  -