Data Analysis in Pavement Engineering
portes grátis
Data Analysis in Pavement Engineering
Methodologies and Applications
Dong, Qiao; Chen, Xueqin; Huang, Baoshan
Elsevier - Health Sciences Division
11/2023
376
Mole
Inglês
9780443159282
15 a 20 dias
Descrição não disponível.
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
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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Quadrilateral; nodes; linear; matrix; triangle; linear elasticity; polynomial; interpolation
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
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
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
