Qiao Dong,
Qiao (Southeast University, Department of Roadway Engineering, School of Transportation, Nanjing, Jiangsu, China) Dong,
Xueqin Chen,
Xueqin (Nanjing University of Science and Technology, Department of Civil Engineering, Nanjing, Jiangsu, China) Chen,
Baoshan Huang,
Baoshan (The Edwin G. Burdette Professor, Department of Civil and Environmental Engineering, University of Tennessee, USA) Huang
e.a.
Data Analysis in Pavement Engineering
Methodologies and Applications
Paperback Engels 2023 9780443159282Levertijd ongeveer 9 werkdagen
Gratis verzonden
Samenvatting
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
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Inhoudsopgave
Preface<br>Chapter 1 Pavement Performance Data<br>Chapter 2 Fundamentals of statistics<br>Chapter 3 Design of experiments<br>Chapter 4 Regression<br>Chapter 5 Logistic regression<br>Chapter 6 Count data models<br>Chapter 7 Survival analysis<br>Chapter 8 Time series<br>Chapter 9 Stochastic process<br>Chapter 10 Decision trees and ensemble learning<br>Chapter 11 Neural networks<br>Chapter 12 Support vector machine and k-nearest neighbors<br>Chapter 13 Principal component analysis<br>Chapter 14 Factor analysis<br>Chapter 15 Cluster analysis<br>Chapter 16 Discriminant analysis<br>Chapter 17 Structural equation model<br>Chapter 18 Markov chain Monte Carlo
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