Data Analysis in Pavement Engineering : Methodologies and Applications (Woodhead Publishing Series in Civil and Structural Engineering)

Dong, Qiao/ Chen, Xueqin/ Huang, Baoshan

Elsevier - Health Sciences Division（2023/11発売）

Elsevier - Health Sciences Division（2023/11発売）

• 製本 Paperback:紙装版/ペーパーバック版／ページ数 376 p.
• 言語 ENG
• 商品コード 9780443159282
• DDC分類 625.8

Full Description

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.

Contents

Preface
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