Statistical curves and parameters : choosing an appropriate approach / Michael E. Tarter.

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Bibliographic Details
Online Access: Full Text (via Taylor & Francis)
Main Author: Tarter, Michael E.
Format: eBook
Language:English
Published: Natick, Mass. : A K Peters, 2000.
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.