Time series analysis : methods and applications / Subba Rao, T.

Regression analysis.

-- Qualitative comparative analysis (intermediate N) -- Quantitative analysis (large-N comparison) -- Conclusions

Table Analysis -- Running the Analysis in SPSS -- Measuring Effect Size in Contingency Table Analysis

-way ANOVA -- Post hoc and planned comparisons -- Two-way analyses of variance -- Analyses of variance with

-- Violations of Linearity -- Polynomial Regression -- Implementing Regression Diagnostis -- Planning a

-Effects Analysis of Variance Models -- 15.1.One-Factor Random-Effects Model -- 15.2.Two-Factor Random-Effects Model

-Sample Case. -- 8. Hypothesis Testing II: The Two-Sample Case. -- 9. Hypothesis Testing III: The Analysis of

Time series analysis and its applications : with R examples / Shumway, Robert H.

Statistical and econometric methods for transportation data analysis / Washington, Simon.

.Introduction to Multiple Regression -- What is Regression? -- Prediction Error, Revisited -- Why Multiple

proportions -- Hypothesis testing -- Correlation, regression, and logistic regression -- Contingency tables