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Gaussian Process Regression Analysis for Functional Data

Gaussian Process Regression Analysis for Functional Data presents nonparametric statistical methods for functional regression analysis;

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First Hitting Time Regression Models

This book aims to promote regression methods for analyzing lifetime (or time-to-event) data that are based on a representation of the;

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Handbook for Applied Modeling

Designed for the applied practitioner, this book is a compact, entry-level guide to modeling and analyzing non-Gaussian and correlated data;

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Handbook for Applied Modeling

Designed for the applied practitioner, this book is a compact, entry-level guide to modeling and analyzing non-Gaussian and correlated data;

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Artificial Intelligence in Civil Engineering

, Gaussian Process Regression, Logistic Regression) for solving different problems in civil engineering.The book is very useful for civil engineers.;

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Geostatistical Functional Data Analysis

Geostatistical Functional Data Analysis Explore the intersection between geostatistics and functional data analysis with this insightful;

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Correlated Data Analysis

models, this book covers new topics on joint regression analysis based on Gaussian copulas.;

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Statistical Modeling Using Local Gaussian Approximation

explores Measuring dependence and testing for independence, Time series dependence and spectral analysis, Multivariate density estimation;

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Random Fields for Spatial Data Modeling

significant computational gains for the processing of big spatial data are presented and discussed. The final chapter concludes with a description;

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High-Dimensional Covariance Estimation

, Tapering, and Thresholding * Covariance Matrices * Sparse Gaussian Graphical Models * Multivariate Regression The book is an ideal resource for;

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Regression Analysis and Its Application: A Data-Oriented Approach

Regression Analysis and Its Application: A Data-Oriented Approach answers the need for researchers and students who would like a better;

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Handbook of Mixture Analysis

The book Handbook of Mixture Analysis is a collection of peer-reviewed articles featuring several statistical data analysis methods based;

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Regression Analysis and its Application

Regression Analysis and Its Application: A Data-Oriented Approach answers the need for researchers and students who would like a better;

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Regression Analysis with Python

* Solve some of the complex data science problems related to predicting outcomes * Get to grips with various types of regression for effective;

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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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Stochastic Analysis for Gaussian Random Processes and Fields

Stochastic Analysis for Gaussian Random Processes and Fields: With Applications presents Hilbert space methods to study deep analytic;

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Stochastic Analysis for Gaussian Random Processes and Fields

Stochastic Analysis for Gaussian Random Processes and Fields: With Applications presents Hilbert space methods to study deep analytic;

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Regression Analysis with R

Build effective regression models in R to extract valuable insights from real data Key Features Implement different regression analysis;

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QUANTILE REGRESSION - Applications on Experimental and Cross Section Data Using EVIEWS

Section Data Using EViews is a highly useful resource for students and lecturers in statistics, data analysis, econometrics, engineering, ecology;

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Regression Analysis of Survival Data in Cancer Chemotherapy

This book presents ideas and procedures for regression analysis of survival data in cancer chemotherapy based on regression-based;

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Soft Computing

computing algorithms and fuzzy information processing models by developing a library of universal analytic models for fuzzy arithmetic operations;

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Modern Engineering Statistics

This concise introduction to engineering statistics emphasizes data analysis and model building, not mathematical statistics. Intended for;

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Data Analysis Using Regression & Multi

Data Analysis Using Regression and Multilevel/Hierarchical Models, first published in 2007, is a comprehensive manual for the applied;

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A Course on Statistics for Finance

Taking a data-driven approach, A Course on Statistics for Finance presents statistical methods for financial investment analysis. The;

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A Course on Statistics for Finance

Taking a data-driven approach, A Course on Statistics for Finance presents statistical methods for financial investment analysis. The;

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Chemical Process Performance Evaluation

The latest advances in process monitoring, data analysis, and control systems are increasingly useful for maintaining the safety;

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Analysis of Variance for Functional Data

, Analysis of Variance for Functional Data presents up-to-date hypothesis testing methods for functional data analysis. The book covers the;

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