Statistical curves and parameters : choosing an appropriate approach / Michael E. Tarter.
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Full Text (via Taylor & Francis) |
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Format: | eBook |
Language: | English |
Published: |
Natick, Mass. :
A K Peters,
2000.
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Subjects: |
Table of Contents:
- 1. Introduction
- 2. Model and Distribution Terminology
- 3. Variability and Related Curve Properties
- 4. Moments and Curve Uncertainty
- 5. Goodness of fit
- 6. Variates, Variables and Regression
- 7. Mixing Parameters and Data-generation models
- 8. The Association Parameter [rho]
- 9. Regression and Association Parameters
- 10. Parameters, Confounding, and Least Squares
- 11. Nonparametric Adjustment
- 12. Continuous Variate Adjustment
- 13. Procedural Road Maps
- 14. Model-based and Generalized Representation
- 15. Parameters, Transformations, and Quantiles
- 16. Noncentrality Parameters and Degrees of Freedom
- 17. Parameter-Based Estimation
- 18. Inference and Composite Variates.
- chapter 1 Introduction
- chapter 2 Model and Distribution Terminology
- chapter 3 Variability and Related Curve Properties
- chapter 4 Moments and Curve Uncertainty
- chapter 5 Goodness of fit
- chapter 6 Variates, Variables and Regression
- chapter 7 Mixing Parameters and Data-generation models
- chapter 8 The Association Parameter ρ
- chapter 9 Regression and Association Parameters
- chapter 10 Parameters, Confounding, and Least Squares
- chapter 11 Nonparametric Adjustment
- chapter 12 Continuous Variate Adjustment
- chapter 13 Procedural Road Maps
- chapter 14 Model-based and Generalized Representation
- chapter 15 Parameters, Transformations, and Quantiles
- chapter 16 Noncentrality Parameters and Degrees of Freedom
- chapter 17 Parameter-Based Estimation
- chapter 18 Inference and Composite Variates
- chapter 19 Parameters and Test Statistics
- chapter 20 Curve Truncation and the Curve e(x)
- chapter I Models and Notation
- chapter II Variate Independence and Curve Identity
- chapter III General Statistical and Mathematical Notation.