## Description

**Table of Contents**

Preface

Chapter 1. Customer Satisfaction Analysis

Chapter 2. Independent Factor Analysis

Chapter 3. Statistical Testing and Predictions

Chapter 4. Score Evaluation

Chapter 5. AHP (Analytic Hierarchy Process)

Chapter 6. Quantification Theory I

Chapter 7. Quantification Theory II

Chapter 8. Quantification Theory III (Correspondence Analysis)

Chapter 9. Quantification Theory IV

Chapter 10. Survival Time Probability

Chapter 11. Population Prediction

Chapter 12. Random Walk

Chapter 13. A Markov Process

Chapter 14. Random Number

Chapter 15. Matrix Operation

Chapter 16. AppendixA Related Mathematics

Chapter 17. Appendix B Summary of Probability Distributions and their Moments

References

Acknowledgement

**Keywords**: CS analysis, objective variable, explanatory variable, average, unbiased variance, co-variance, correlation factor, improve requested, Contributed item, CS correlation factor, first principal component, independent value, independent factor, adjust residual, level achievement ratio, contributed item, improvement request item, CS plot, CS correlation factor, testing, prediction, hypothesis, T distribution, F distribution, score evaluation, average, standard deviation, normalized value, extended normalized value, unit vector, AHP, pair comparison method, geometric average, eigenvector method, quantification theory I, quantification theory II, quantification theory III, correspondence analysis, quantification theory IV, Lagrange function, survival probability, Kaplan-Meier product-limit predictive method, hazard function, population prediction, cohort ratio, birth ratio, random walk, principle of symmetry, return frequency, Markov process, random walk, transition probability, transition matrix, initial vector, supply source, vanishing monitor, constant flux, initial condition, network matrix, network path with a loop, random number, exponential distribution, Poisson distribution, normal distribution, standard normal distribution, matrix operation, Gauss elimination method, LU decomposition, LU division, inverse matrix, determinant of a matrix, eigenvalue, power method, Jacobi method for symmetrical matrix, N-th product of matrix

This book is available for students and members who want to be professionals in this field.