Statistical and Econometric Methods for Transportation Data Analysis.

Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Table of Contents -- Preface -- Authors -- Section I: Fundamentals -- 1: Statistical Inference I: Descriptive Statistics -- 1.1 Measures of Relative Standing -- 1.2 Measures of Central Tendency -- 1.3 Measures of Variability -- 1.4 Skewness and Kurtosis -- 1.5 Measures of Association -- 1.6 Properties of Estimators -- 1.6.1 Unbiasedness -- 1.6.2 Efficiency -- 1.6.3 Consistency -- 1.6.4 Sufficiency -- 1.7 Methods of Displaying Data -- 1.7.1 Histograms -- 1.7.2 Ogives -- 1.7.3 Box Plots -- 1.7.4 Scatter Diagrams -- 1.7.5 Bar and Line Charts -- 2: Statistical Inference II: Interval Estimation, Hypothesis Testing, and Population Comparisons Descriptive Statistics -- 2.1 Confidence Intervals -- 2.1.1 Confidence Interval for µ with Known σ2 -- 2.1.2 Confidence Interval for the Mean with Unknown Variance -- 2.1.3 Confidence Interval for a Population Proportion -- 2.1.4 Confidence Interval for the Population Variance -- 2.2 Hypothesis Testing -- 2.2.1 Mechanics of Hypothesis Testing -- 2.2.2 Formulating One- and Two-Tailed Hypothesis Tests -- 2.2.3 The p-Value of a Hypothesis Test -- 2.3 Inferences Regarding a Single Population -- 2.3.1 Testing the Population Mean with Unknown Variance -- 2.3.2 Testing the Population Variance -- 2.3.3 Testing for a Population Proportion -- 2.4 Comparing Two Populations -- 2.4.1 Testing Differences between Two Means: Independent Samples -- 2.4.2 Testing Differences between Two Means: Paired Observations -- 2.4.3 Testing Differences between Two Population Proportions -- 2.4.4 Testing the Equality of Two Population Variances -- 2.5 Nonparametric Methods -- 2.5.1 The Sign Test -- 2.5.2 The Median Test -- 2.5.3 The Mann-Whitney U Test -- 2.5.4 The Wilcoxon-Signed Rank Test for Matched Pairs -- 2.5.5 The Kruskal-Wallis Test.