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Artificial Intelligence in Civil Engineering

Inference System, Support Vector Machine, Least Square Support Vector Machine, Relevance Vector Machine, Multivariate Adaptive Regression Spline;

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Adaptive Regression

While there have been a large number of estimation methods proposed and developed for linear regression, none has proved good for all;

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Adaptive Regression for Modeling Nonlinear Relationships

when they are nonlinear. Data analysts will learn how to incorporate nonlinearity in one or more predictor variables into regression models for;

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Adaptive Business Intelligence

. Coverage includes linear regression, time-series forecasting, decision trees and tables, artificial neural networks, genetic programming, fuzzy;

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Adaptive Business Intelligence

. Coverage includes linear regression, time-series forecasting, decision trees and tables, artificial neural networks, genetic programming, fuzzy;

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Adaptive Tests of Significance Using Permutations of Residuals with R and SAS

the biosciences, pharmacology, and business. The book also serves as a valuable supplement for courses on regression analysis and adaptive;

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Neural and Adaptive Systems

of adaptive linear regression and builds on these concepts to explore pattern classification, function approximation, feature extraction, and time;

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Statistical Models of Characteristics of Metal Vapor Lasers

multiple linear and quasilinear regression and other parametric and non-parametric models for modelling laser efficiency and output power. The best;

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Computer Assisted Mass Appraisal

appraisal techniques for ad valorem property tax systems. The primary paradigms discussed include regression, base home technique, adaptive;

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Computer Assisted Mass Appraisal

appraisal techniques for ad valorem property tax systems. The primary paradigms discussed include regression, base home technique, adaptive;

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Computational Statistics Handbook with MATLAB

sections on the nearest neighbor classifier, support vector machines, model checking and regularization, partial least squares regression, and;

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Computational Statistics Handbook with MATLAB

regression, and multivariate adaptive regression splines. Web ResourceThe authors include algorithmic descriptions of the procedures as well;

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Regression Modeling: Methods, Theory, and Computation with SAS

Regression Modeling: Methods, Theory, and Computation with SAS provides an introduction to a diverse assortment of regression techniques;

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Regression Modeling: Methods, Theory, and Computation with SAS

Regression Modeling: Methods, Theory, and Computation with SAS provides an introduction to a diverse assortment of regression techniques;

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Adaptive Disaster Risk Assessment

; first, a logistic regression model was built using the actual evacuation rates observed during Hurricane Irma, and second, an Agent-based model;

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Simultaneous Inference in Regression

Simultaneous confidence bands enable more intuitive and detailed inference of regression analysis than the standard inferential methods;

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Simultaneous Inference in Regression

Simultaneous confidence bands enable more intuitive and detailed inference of regression analysis than the standard inferential methods;

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Soft Computing

Neuro-Fuzzy Inference System (ANFIS), Gaussian Process Regression (GPR), Relevance Vector Machine (RVM), Extreme Learning Machine (ELM). Chapter;

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Sampling Theory and Methods

regression estimators are also discussed. The use of superpopulation models is covered in detail along with recent developments including estimation;

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Statistical Regression Modeling with R

This book provides a concise point of reference for the most commonly used regression methods. It begins with linear and nonlinear;

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Statistical Regression Modeling with R

This book provides a concise point of reference for the most commonly used regression methods. It begins with linear and nonlinear;

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Confidence Intervals in Generalized Regression Models

A Cohesive Approach to Regression Models Confidence Intervals in Generalized Regression Models introduces a unified representation-the;

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Confidence Intervals in Generalized Regression Models

A Cohesive Approach to Regression Models Confidence Intervals in Generalized Regression Models introduces a unified representation-the;

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Applied Statistical Science III

CONTENTS: Partially Adaptive Rank and Regression Rank Scores Tests in Linear Models; An Analysis of Nonoparametric Smoothers; Supercritical;

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Handbook of Regression Methods

Handbook of Regression Methods concisely covers numerous traditional, contemporary, and nonstandard regression methods. The handbook;

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Applied Regression Modeling

Master the fundamentals of regression without learning calculus with this one-stop resource The newly and thoroughly revised 3rd;

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Semiparametric Regression

Semiparametric regression is concerned with the flexible incorporation of non-linear functional relationships in regression analyses. Any;

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