Table of Contents
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.