Statistical Curves and Parameters

Choosing an Appropriate Approach

Michael E. Tarter

500 pages, parution le 25/09/2002

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Résumé

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 into solutions for common problems.
Designed as a graduate-level text for statistics and research methods courses, Statistical Parameters is also a good reference for mathematically literate researchers who want to update their research skills as well as their knowledge of current research methods.

Contents

Model and Distribution Terminology
Variability and Related Curve Properties
Moments and Curve Uncertainty
Goodness of Fit
Variates, Variables and Regression
Mixing Parameters and Data-generation Models
The Association Parameter r
Regression and Association Parameters
Parameters, Confounding, and Least Squares
Nonparametric Adjustment
Continuous Variate Adjustment
Procedural Road Maps
Model-Based and Generalized Representation
Parameters, Transformations, and Quantiles
Noncentrality Parameters and Degrees of Freedom
Parameter-Based Estimation
Inference and Composite Variates
Parameters and Test Statistics
Curved Truncation and the Curve e(x)
Models and Notation
Variate Independence and Curve Identity

Caractéristiques techniques

	PAPIER
Éditeur(s)	AK Peters
Auteur(s)	Michael E. Tarter
Parution	25/09/2002
Nb. de pages	500
Format	16 x 23,5
Couverture	Broché
Intérieur	Noir et Blanc
EAN13	9781568811055
ISBN13	978-1-56881-105-5