FUNDAMENTALSStatistical Inference I: Descriptive StatisticsMeasures of Relative Standing Measures of Central Tendency Measures of Variability Skewness and Kurtosis Measures of Association Properties of Estimators Methods of Displaying DataStatistical Inference II: Interval Estimation, Hypothesis Testing, and Population ComparisonsConfidence IntervalsHypothesis Testing Inferences Regarding a Single PopulationComparing Two PopulationsNonparametric MethodsCONTINUOUS DEPENDENT VARIABLE MODELSLinear RegressionAssumptions of the Linear Regression ModelRegression FundamentalsManipulating Variables in. Read more...
Abstract:
Describes tools that are commonly used in transportation data analysis. This book provides statistical fundamentals and presents continuous dependent variable models. With a focus on count and discrete dependent variable models, it features chapters on mixed logit models, logistic regression, and ordered probability models. Read more...
Author(s): Karlaftis, Matthew G.; Mannering, Fred L.; Washington, Simon P
Edition: 2nd ed
Publisher: CRC Press
Year: 2010
Language: English
Pages: 530
City: Hoboken
Tags: Транспорт;Технология и организация перевозок;
Content: Cover
Contents
Preface
Part I: Fundamentals
Chapter 1: Statistical Inference I: Descriptive Statistics
Body
Chapter 2: Statistical Inference II: IntervalEstimation, Hypothesis Testingand Population Comparisons
Part II: Continuous Dependent Variable Models
Chapter 3: Linear Regression
Chapter 4: Violations of Regression Assumptions
Chapter 5: Simultaneous-Equation Models
Chapter 6: Panel Data Analysis
Chapter 7: Background and Exploration in Time Series
Chapter 8: Forecasting in Time Series: AutoregressiveIntegrated Moving Average (ARIMA)Models and Extensions Chapter 9: Latent Variable ModelsChapter 10: Duration Models
Part III: Count and DiscreteDependent Variable Models
Chapter 11: Count Data Models
Chapter 12: Logistic Regression
Chapter 13: Discrete Outcome Models
Chapter 14: Ordered Probability Models
Chapter 15: Discrete/Continuous Models
Part IV: Other Statistical Methods
Chapter 16: Random-Parameter Models
Chapter 17: Bayesian Models
Appendix A: Statistical Fundamentals
Appendix B: Glossary of Terms
Appendix C: Statistical Tables
References
Back Cover
