

Understanding Regression Analysis by Larry D Schroeder
The authors have provided beginners with a background to the frequently-used technique of linear regression. It is not intended to be a substitute for a course or textbook in statistics, but rather as a stop-gap for students who encounter empirical work before undertaking a statistics course. It provides a heuristic explanation of the procedures and terms used in regression analysis and has been written at the most elementary level.-
Survey Questions
-
Q Methodology
-
Logistic Regression
-
Reliability and Validity Assessment
-
Latent Class Analysis
-
ANOVA
-
Nonparametric Statistics
-
Factor Analysis
-
Exploratory Data Analysis
-
Introduction to Factor Analysis
-
Interpreting and Using Regression
-
Bayesian Statistical Inference
-
Applied Logistic Regression Analysis
-
Multiple Regression in Practice
-
Discriminant Analysis
-
Confirmatory Factor Analysis
-
Applied Regression
-
Missing Data
-
Introduction to the Laws of Statistical Sampling
-
Multiple Time Series Models
-
Random Factors in ANOVA
-
Logit Modeling
-
Loglinear Models with Latent Variables
-
Contextual Analysis
-
Neural Networks
-
Ordinal Log-Linear Models
-
Social Choice
-
Stochastic Parameter Regression Models
-
Analytic Mapping and Geographic Databases
-
Probability Theory
-
Univariate Tests for Time Series Models
-
Introduction to Applied Demography
-
Data Theory and Dimensional Analysis
-
Nonrecursive Causal Models
| SKU | Unavailable |
| ISBN 13 | |
| ISBN 10 | |
| Title | Understanding Regression Analysis |
| Author | Larry D Schroeder |
| Series | |
| Condition | Unavailable |
| Binding Type | |
| Publisher | |
| Year published | |
| Number of pages | |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |
View All Editions
Filter
Applied Filters (0)
Sort by:
Loading editions...

































