- ホーム
- > 洋書
- > 英文書
- > Science / Mathematics
Full Description
This textbook introduces probabilistic and statistical modelling to risk management and decision making in the face of uncertainty. It then applies this especially to transportation systems. From basic concepts and methods in probability and statistics (descriptive and inferential), it develops to cover more advanced topics in discrete choice and count econometric models particularly for transport systems and frameworks for risk analysis and management. It takes a problem driven approach, where the materials are explained highly intuitively and supported by examples and cases from transportation systems and more widely from civil and environmental engineering. Concepts are related to practice and to professional skills so that real-world problems are explored in a structured way. The problem formulation and solving processes are systematized, but without heavy mathematics. It suits students at undergraduate and graduate level as well as serving as a guide to core techniques for practising engineers.
Contents
Introduction. Exploratory data analysiswith uncertain events: probability basics. Variability modeling I: univariate probability distributions. Variability modeling II: two or more random variables. Collecting data: sampling methods. Estimating population parameters. True or false?-Hypothesis testing. Non parametric hypothesis tests: purpose and procedures. Exploring relationships between variables: regression models. Mode choice and preferences modeling: regression models for discrete dependent variables. Explaining event occurrences: regression models for counts. Risk analysis and management.
