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Real Analysis and Applications

This textbook introduces readers to real analysis in one and n dimensions. It is divided into two parts: Part I explores real analysis;

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Real Analysis and Applications

This textbook introduces readers to real analysis in one and n dimensions. It is divided into two parts: Part I explores real analysis;

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Introduction to Real Analysis

basic facts about calculus but, as importantly, to mathematical reasoning. It covers in great detail calculus of one variable and multivariable;

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Introduction to Real Analysis

basic facts about calculus but, as importantly, to mathematical reasoning. It covers in great detail calculus of one variable and multivariable;

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Introduction to Analysis in Several Variables

for analysis. The first part treats analysis in one variable, and the text at hand treats analysis in several variables. After a review;

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Latent Variable Models

Latent Variable Models: An Introduction to Factor, Path, and Structural Equation Analysis introduces latent variable models by utilizing;

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Latent Variable Models

Latent Variable Models: An Introduction to Factor, Path, and Structural Equation Analysis introduces latent variable models by utilizing;

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Introduction to Mathematical Analysis

of variations, differential geometry and even functional analysis. Overall, this text provides a unique and well-rounded introduction to the highly;

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Analysis II

The second volume of this introduction into analysis deals with the integration theory of functions of one variable, the multidimensional;

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Partial Differential Equations with Variable Exponents

students with a thorough introduction to the theory of nonlinear partial differential equations (PDEs) with a variable exponent, particularly those;

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Functions of One Complex Variable I

This book presents a basic introduction to complex analysis in both an interesting and a rigorous manner. It contains enough material for a;

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Complex Analysis and Differential Equations

This text provides an accessible, self-contained and rigorous introduction to complex analysis and differential equations. Topics covered;

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An Introduction to the Calculus of Variations

This clear, rigorous introduction to the calculus of variations covers applications to geometry, dynamics, and physics. Focusing upon;

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Functions of One Complex Variable

., homotopy theory, manifolds). This view of Complex Analysis as An Introduction to Mathe- matics has influenced the writing and selection of subject;

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A Course in Calculus and Real Analysis

This book provides a self-contained and rigorous introduction to calculus of functions of one variable, in a presentation which emphasizes;

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Introduction to Functions of a Complex Variable

application to the Cauchy theory. It is intended for an introductory course in complex analysis at the first-year graduate and advanced undergraduate;

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Introduction to Functions of a Complex Variable

application to the Cauchy theory. It is intended for an introductory course in complex analysis at the first-year graduate and advanced undergraduate;

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The How and Why of One Variable Calculus

in the deep end with a rigorous analysis text. The How and Why of One Variable Calculus closes this gap in providing a rigorous treatment that;

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Doing Bayesian Data Analysis

data analysis, as material is explained clearly with concrete examples. Included are step-by-step instructions on how to carry out Bayesian;

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Lecture Notes On Applied Analysis

study these subjects in great depth. Instead, it would probably be more beneficial for them to have an introduction to these topics so that when;

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Mathematical Analysis

A self-contained introduction to the fundamentals of mathematical analysis Mathematical Analysis: A Concise Introduction presents the;

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Analysis on Function Spaces of Musielak-Orlicz Type

type. The book also offers readers a step-by-step introduction to the theory of Musielak-Orlicz spaces, and introduces associated function;

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

The conditional least-square or mean-regression (MR) analysis is the quantitative research method used to model and analyze the relationships;

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Analysis

This self-contained text, suitable for advanced undergraduates, provides an extensive introduction to mathematical analysis, from the;

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Advanced Calculus

analysis. Following an introduction dedicated to writing proofs, the book is divided into three parts: Part One explores foundational one-variable;

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Advanced Statistics for Testing Assumed Causal Relationships

mathematical knowledge. It shows multiple regression analysis accurately reconstructs the causal relationships between phenomena. So, it can be used to;

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Latent Variable Analysis and Signal Separation

This book constitutes the proceedings of the 13th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2017;

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