1st Edition
Statistical Curves and Parameters Choosing an Appropriate Approach
By Michael E. Tarter
Copyright 2000
400 Pages
by
A K Peters/CRC Press
400 Pages
by
A K Peters/CRC Press
Also available as eBook on:
Statistical Parameters is a unique new guide to current statistical methods and research. Based on a series of interdisciplinary lectures for users of statistical methods in research and development, this book provides insights into data acquisition and statistical interpretation.
The author discusses practical problems in a consistent methodological framework and offers advice that translates... Read more
Preface, 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, 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, 19. Parameters and Test Statistics, 20. Curve Truncation and the Curve e(x), I Models and Notation, II Variate Independence and Curve Identity, III General Statistical and Mathematical Notation, References, Index
Biography
Michael E. Tarter
Although the topics it discusses are elementary, this is in no way an elementary statistics book.
-- Lianfen Qian, Technometrics , February 2005
