Front cover; Contents; List of Figures; List of Tables; Preface; CHAPTER 1. An Overview; CHAPTER 2. Describing a Sample; CHAPTER 3. Describing a Population; CHAPTER 4. Statistical Foundations; CHAPTER 5. Foundation Distributions; CHAPTER 6. Distributional Model Building; CHAPTER 7. Further Distributions; CHAPTER 8. Identification; CHAPTER 9. Estimation; CHAPTER 10. Validation; CHAPTER 11. Applications; CHAPTER 12. Regression Quantile Models; CHAPTER 13. Bivariate Quantile Distributions; CHAPTER 14. A Postscript; APPENDIX 1. Some Useful Mathematical Results
Summary
Gilchrist (Sheffield Hallam University, emeritus) systematically examines the entire process of statistical modeling, starting with the use of the quantile function to define continuous distributions. He argues that this approach makes it possible to develop complex distributional models from simple components. A modeling kit can be developed that
Bibliography
Includes bibliographical references (pages 301-308) and index
