Statistics for Engineers An Introduction by S.J. Morrison

Table of Contents
1. Nature of Variability
2. Basic Statistical Methods
3. Production
4. Engineering Design
5. Research and Development
6. Background
7. Quality Management
8. Conclusion
Appendix

Statistics for Research by Shirley Dowdy, Stanley Wearden and Daniel Chilko

Table of Contents
1. The Role of Statistics
2. Populations, Samples, and Probability Distributions
3. Binomial Distributions
4. Poisson Distributions
5. Chi-Square Distributions
6. Sampling Distribution of Averages
7. Normal Distributions
8. Student’s t Distribution
9. Distributions of Two Variables
10. Techniques for One-way Analysis of Variance
11. The Analysis-of-Variance Model
12. Other Analysis-of-Variance Designs
13. Analysis of Covariance
14. Multiple Regression and Correlation
Appendix of Useful Tables
Answers to Most Odd-Numbered Exercises and All Review Exercises
Index

Measurement Error Models, Methods and Applications by John P. Buonaccorsi

Table of Contents
1 Introduction
2 Misclassification in Estimating a Proportion
3 Misclassification in Two-Way Tables
4 Simple Linear Regression
5 Multiple Linear Regression
6 Measurement Error in Regression: A General Overview
7 Binary Regression
8 Linear Models with Nonadditive Error
9 Nonlinear Regression
10 Error in the Response
11 Mixed/Longitudinal Models
12 Time Series
13 Background Material

Statistical Process Control 6th Ed. by John S. Oakland

Table of Contents
Part 1 Process Understanding
1 Quality, processes and control
2 Understanding the process
3 Process data collection and presentation
Part 2 Process Variability
4 Variation: understanding and decision making
5 Variables and process variation
Part 3 Process Control
6 Process control using variables
7 Other types of control charts for variables
8 Process control by attributes
9 Cumulative sum (cusum) charts
Part 4 Process Capability
10 Process capability for variables and its measurement
Part 5 Process Improvement
11 Process problem solving and improvement
12 Managing out-of-control processes
13 Designing the statistical process control system
14 Six-sigma process quality
15 The implementation of statistical process control
Appendices

Statistical Aspects of the Microbiological Examination of Foods Basil Jarvis

Contents
Chapter 1
INTRODUCTION
Chapter 2
SOME BASIC STATISTICAL CONCEPTS
Chapter 3
FREQUENCY DISTRIBUTIONS
Chapter 4
THE DISTRIBUTION OF MICROORGANISMS IN FOODS IN RELATION TO SAMPLING
Chapter 5
STATISTICAL ASPECTS OF SAMPLING FOR MICROBIOLOGICAL ANALYSIS
Chapter 6
ERRORS IN THE PREPARATION OF LABORATORY SAMPLES FOR ANALYSIS
Chapter 7
ERRORS ASSOCIATED WITH COLONY COUNT PROCEDURES
Chapter 8
ERRORS ASSOCIATED WITH QUANTAL RESPONSE METHODS
Chapter 9
STATISTICAL CONSIDERATIONS OF OTHER METHODS IN QUANTITATIVE MICROBIOLOGY
Chapter 10
MEASUREMENT UNCERTAINTY IN MICROBIOLOGICAL ANALYSIS
Chapter 11
ESTIMATION OF MEASUREMENT UNCERTAINTY
Chapter 12
STATISTICAL PROCESS CONTROL USING MICROBIOLOGICAL DATA
Chapter 13
VALIDATION OF MICROBIOLOGICAL METHODS FOR FOOD
Chapter 14
RISK ASSESSMENT, FOOD SAFETY OBJECTIVES AND MICROBIOLOGICAL CRITERIA FOR FOODS