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Fitting Linear Relationships

statistical estimation procedures. Detailed descriptions of the fitting of linear relationships by the method of least squares and the closely related;

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Least Squares Data Fitting with Applications

environmental sciences to geophysics. Anyone working with problems of linear and nonlinear least squares fitting will find this book invaluable as a;

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Circular and Linear Regression

, Circular and Linear Regression: Fitting Circles and Lines by Least Squares explains how to use modern algorithms to fit geometric contours (circles;

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Circular and Linear Regression

-1990s, Circular and Linear Regression: Fitting Circles and Lines by Least Squares explains how to use modern algorithms to fit geometric;

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Data Fitting and Uncertainty

* fitting of linear and nonlinear functions with one- or multi-dimensional variables * weighted least-squares * outlier detection;

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Theory of Linear Viscoelasticity

examples of stress-related problems. In addition, it explains procedures for model fitting to measured values of complex modulus or compliance.

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An Introduction to Generalized Linear Models

Continuing to emphasize numerical and graphical methods, An Introduction to Generalized Linear Models, Third Edition provides a cohesive;

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Linear Mixed Models

comprehensive update of the available tools for fitting linear mixed-effects models in the newest versions of SAS, SPSS, R, Stata, and HLM. All examples;

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An Introduction to Generalized Linear Models

distributions; linear regression models; classical estimation and model fitting methods; and frequentist methods of statistical inference. After forming;

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An Introduction to Generalized Linear Models

distributions; linear regression models; classical estimation and model fitting methods; and frequentist methods of statistical inference. After forming;

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Linear Mixed Models

perform complex linear mixed model (LMM) analyses via a variety of software programs. Linear Mixed Models: A Practical Guide Using;

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Linear Algebra for Pattern Processing

Linear algebra is one of the most basic foundations of a wide range of scientific domains, and most textbooks of linear algebra are written;

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Adaptive Regression for Modeling Nonlinear Relationships

This book presents methods for investigating whether relationships are linear or nonlinear and for adaptively fitting appropriate models;

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Elementary Linear Algebra

This classic treatment of linear algebra presents the fundamentals in the clearest possible way, examining basic ideas by means;

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Linear Regression Analysis

Concise, mathematically clear, and comprehensive treatment of the subject. Expanded coverage of diagnostics and methods of model fitting;

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Nonparametric Statistical Methods And Related Topics

that Professor Bhattacharya has published on research. Topics of special interest include nonparametric inference, nonparametric curve fitting;

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Elementary Linear Algebra

This classic treatment of linear algebra presents the fundamentals in the clearest possible way, examining basic ideas by means;

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Regression Analysis and Linear Models

independent variables. It is used in forecasting and prediction. The models used to understand and build relationships, using the linear predictor;

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Foundations of Linear and Generalized Linear Models

fundamentals of linear models, such as how the model-fitting projects the data onto a model vector subspace and how orthogonal decompositions of the;

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Computer Software Applications In Chemistry

modeling software. Major areas covered include: Error, Statistics, and the Floating-Point Number System Curve Fitting Multiple Linear Regression;

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Deterministic Methods in Systems Hydrology: Ihe Delft Lecture Note Series

chapters cover linear conceptual models of direct runoff, the fitting of conceptual models to data, simple models of subsurface flow and non-linear;

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Deterministic Methods in Systems Hydrology

chapters cover linear conceptual models of direct runoff, the fitting of conceptual models to data, simple models of subsurface flow and non-linear;

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Automated Data Analysis Using Excel

curve fitting, linear and non-linear mapping, charting, plotting, sorting, and filtering of data have been updated to leverage the newest Excel;

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Automated Data Analysis Using Excel

curve fitting, linear and non-linear mapping, charting, plotting, sorting, and filtering of data have been updated to leverage the newest Excel;

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Applied Regression Analysis

a basic knowledge of elementary statistics, Applied Regression Analysis, Third Edition focuses on the fitting and checking of both linear;

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Mathematical Principles for Scientific Computing and Visualization

introduction to computer graphics. The scientific computing part of the book covers topics in numerical linear algebra (basics, solving linear system;

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Mathematical Principles for Scientific Computing and Visualization

introduction to computer graphics. The scientific computing part of the book covers topics in numerical linear algebra (basics, solving linear system;

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