Data Analysis in Pavement Engineering
Methodologies and Applications
Paperback Engels 2023 9780443159282Samenvatting
Data Analysis in Pavement Engineering: Methodologies and Applications introduces the theories and methods as well as definitions, principles, and algorithms of data analysis applied in pavement and transportation infrastructure analysis, tests, maintenance, and operation. This book provides case studies that demonstrate how these methods can be applied to solve problems in pavement engineering. Through these real-life examples, readers can gain a better understanding of how to utilize these data analysis techniques effectively. Data Analysis in Pavement Engineering: Methodologies and Applications serves as a reference for engineers or a textbook for graduate and senior undergraduate students in disciplines related to transportation infrastructure.
Specificaties
Lezersrecensies
Inhoudsopgave
Chapter 1 Pavement Performance Data
Chapter 2 Fundamentals of statistics
Chapter 3 Design of experiments
Chapter 4 Regression
Chapter 5 Logistic regression
Chapter 6 Count data models
Chapter 7 Survival analysis
Chapter 8 Time series
Chapter 9 Stochastic process
Chapter 10 Decision trees and ensemble learning
Chapter 11 Neural networks
Chapter 12 Support vector machine and k-nearest neighbors
Chapter 13 Principal component analysis
Chapter 14 Factor analysis
Chapter 15 Cluster analysis
Chapter 16 Discriminant analysis
Chapter 17 Structural equation model
Chapter 18 Markov chain Monte Carlo
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