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Robust Nonlinear Regression

Applications using R covers a variety of theories and applications of nonlinear robust regression. It discusses both parts of the classic and robust;

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Alternative Methods of Regression

Of related interest. Nonlinear Regression Analysis and its Applications Douglas M. Bates and Donald G. Watts .an extraordinary;

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Nonlinear Regression Analysis and Its Applications

have put together an extraordinary presentation of concepts and methods concerning the use and analysis of nonlinear regression models;

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Partially Linear Models

efficient estimation, bootstrap resampling, censored data analysis, linear measurement error models, nonlinear measurement models, nonlinear and;

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Applied Regression and Modeling

regression analysis with applications, and (3) regression and modeling including the second order models, nonlinear regression, and interaction;

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Applied Regression Analysis

An outstanding introduction to the fundamentals of regression analysis-updated and expanded The methods of regression analysis are the most;

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Quantile Regression

treatment of the subject, encompassing models that are linear and nonlinear, parametric and nonparametric. The author has devoted more than 25 years;

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Quantile Regression

treatment of the subject, encompassing models that are linear and nonlinear, parametric and nonparametric. The author has devoted more than 25 years;

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Applied Numerical Methods for Chemical Engineers

equations, boundary value problems, partial differential equations, and linear and nonlinear regression analysis. MATLAB is adopted as the;

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Nonlinear Functional Analysis and Its Applications

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Handbook of Regression Analysis

A Comprehensive Account for Data Analysts of the Methods and Applications of Regression Analysis. Written by two established experts in the;

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Nonlinear Analysis

achievements in the broad area of nonlinear analysis and its various interdisciplinary applications.;

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Nonlinear Analysis

achievements in the broad area of nonlinear analysis and its various interdisciplinary applications.;

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Nonlinear Regression Modeling for Engineering Applications

book details methods of nonlinear regression, computational algorithms,model validation, interpretation of residuals, and useful experimental;

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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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Adaptive Regression for Modeling Nonlinear Relationships

and so need to be addressed. A standard linear analysis can produce misleading conclusions, while a nonlinear analysis can provide novel;

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Nonlinear Analysis

Nonlinear analysis is a broad, interdisciplinary field characterized by a remarkable mixture of analysis, topology, and applications. Its;

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Analysis and Its Applications

Of immense value to researchers and professionals working in the wide domain of analysis and its applications, this volume provides an;

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Modeling in Mathematics

and its application to energy-growth consumption problem. This book also discusses about intuitionistic fuzzy weighted linear regression model;

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Nonlinear Regression with R

- Coherent and unified treatment of nonlinear regression with R. - Example-based approach. - Wide area of application.;

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Logistic Regression Using SAS

theory behind logistic regression, and looks at all the practical details involved in its implementation using SAS. Several real-world examples;

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Conventional and Fuzzy Regression

deals with both crisp (conventional) linear or nonlinear regression and fuzzy linear or nonlinear regression. The application example refers to;

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Methods and Applications of Longitudinal Data Analysis

Methods and Applications of Longitudinal Data Analysis describes methods for the analysis of longitudinal data in the medical;

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Nonlinear Statistical Models

models, multivariate regression models, and simultaneous equation models. Methods are illustrated with worked examples, complete with figures;

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Theorems of Leray-Schauder Type And Applications

methods in nonlinear analysis. This volume will appeal to graduate students and researchers in mathematical analysis and its applications.;

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Theorems of Leray-Schauder Type And Applications

methods in nonlinear analysis. This volume will appeal to graduate students and researchers in mathematical analysis and its applications.;

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