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On the General Theory of Skew Correlation and Non-Linear Regression

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A Primer on Linear Models

A Primer on Linear Models presents a unified, thorough, and rigorous development of the theory behind the statistical methodology;

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A Primer on Linear Models

A Primer on Linear Models presents a unified, thorough, and rigorous development of the theory behind the statistical methodology;

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Evolution Equations

; periodic solutions of impulsive evolution equations; non-linear spectral theory and controllability of semi-linear evolution equations; uniform;

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Univariate and Multivariate General Linear Models

Reviewing the theory of the general linear model (GLM) using a general framework, Univariate and Multivariate General Linear Models: Theory;

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Univariate and Multivariate General Linear Models

Reviewing the theory of the general linear model (GLM) using a general framework, Univariate and Multivariate General Linear Models: Theory;

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Partially Linear Models

In the last ten years, there has been increasing interest and activity in the general area of partially linear regression smoothing;

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Linear Algebra, Matrix Theory and Applications

Linear Algebra, Matrix Theory and Applications gives insights into the various aspects related to the matrices including the concepts on;

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Applying Regression & Correlation

aspects of regression analysis such as non-linear regression, logistic regression, and moderator and mediator analysis. These approaches are often;

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Business Statistics

. Business Statistics II includes analysis of variance, simple linear regression, correlation analysis, multiple regression analysis, non parametric;

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Applied Regression Analysis

. Contrary to other textbooks on regression, this book is based on the idea that you do not necessarily need to know much about statistics and;

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Applied Regression Analysis

. Contrary to other textbooks on regression, this book is based on the idea that you do not necessarily need to know much about statistics and;

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Introduction to Linear Regression Analysis, 6th Edition

software in key areas Carefully condensing the text where possible Introduction to Linear Regression Analysis skillfully blends theory and;

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The Coordinate-Free Approach to Linear Models

This book is about the coordinate-free, or geometric, approach to the theory of linear models; more precisely, Model I ANOVA and linear;

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A History of Parametric Statistical Inference from Bernoulli to Fisher, 1713-1935

estimation by Laplace and Gauss; error theory, skew distributions, correlation, sampling distributions; and the Fisherian Revolution. Lively;

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Focus on Nonlinear Analysis Research

In this book, the authors present current research on non-linear analysis, from across the globe. Topics include modelling of the;

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Encyclopedia of Mathematics and its Applications

, and most accounts have hitherto been confined to division algebras - that is skew fields finite dimensional over their centre. Based on the;

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Encyclopedia of Mathematics and its Applications

, and most accounts have hitherto been confined to division algebras - that is skew fields finite dimensional over their centre. Based on the;

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Linear Methods

applications involving business, economics, elementary graph theory, Markov chains, linear regression and least-squares polynomials, geometric;

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Linear Methods

applications involving business, economics, elementary graph theory, Markov chains, linear regression and least-squares polynomials, geometric;

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Sensitivity Analysis in Linear Regression

This volume treats linear regression diagnostics as a tool for the application of linear regression models to real-life data. The;

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Applied Regression Analysis and Experimental Design

For a solid foundation of important statistical methods, the concise, single-source text unites linear regression with analysis;

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Applied Regression Analysis and Experimental Design

Regression, Experimental Design, and Linear Models in a broad range of disciplines. Moreover, applied statisticians will find the book a useful;

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Linear Models And Regression With R

statistical ideas can be used to explore the more general linear model with rank-deficient design and/or covariance matrices. The unified treatment;

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Linear Models

models, and general mixed models. The mean model is used to bring all of these topics together in a coherent presentation of linear model theory;

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London Mathematical Society Lecture Note Series

advances in the theory of skew linear groups. Some aspects of skew linear groups are similar to those for linear groups, however there are often;

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Setting of Linear Analysis on Manifolds

The general approach the author adopted to tackle the whole matter consisted of three broad parts: linear global analysis, non-linear;

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