Engineering statistics : the industrial experience /
Bernard Ostle ... [et al.].
- Belmont ; Albany : Duxbury Press, c1996.
- xiv, 566 p. and (various pagings) : ill. ; 25 cm.
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