By H.C. Riggs
Preface
Abstract
Introduction
Distributions
Cumulative distributions
Statistical inference
Correlation and regression
Serial correlation
Regression methods
Regression models
Transformations
Simple linear regression
Multiple linear regression
Regression computation using "c" multipliers
Regressions having various numbers of independent variables
Use of digital computers
Application of the regression method
Graphical regression
Graphical multiple regression
Graphical multiple regression when the independent variables are highly correlated between themselves
Choice of graphical or analytical method for multiple regression
Determining equations of graphical relations
General methods
Definition of equations
Other tools
Analysis of variance
Analysis of covariance
Multivariate analysis
Characteristics of hydrologic data
Effects of data characteristics on analysis
Outliers
Selected references
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