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An Introduction to Categorical Data Analysis
Parameter Estimate The parameters are estimated by maximum likelihood estimate. When we assume $p$ is a constant, $L = \prod_{i=1}^{n} p^{y_{i}}(1-p)^{1-y_{i}}$, then $\hat{p}=n^{-1} \sum_{i=1}^...
3 Linear Regression 3.0 Introduction 3.1 Simple Linear Regression 3.2 Multiple Linear Regression 3.3 Other Considerations in the Regression Model 3.4 The Marke...
Chapter 2: Contingency Tables 2.1 Three probabilities: Joint, Marginal and Conditional. Sensitivity and Specificity Statistically independence: if the population conditional distributions ...
