A Companion to Analysis

A Companion to Analysis

Author: Thomas William Körner

Publisher: American Mathematical Soc.

Published: 2004

Total Pages: 608

ISBN-13: 0821834479

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This book not only provides a lot of solid information about real analysis, it also answers those questions which students want to ask but cannot figure how to formulate. To read this book is to spend time with one of the modern masters in the subject. --Steven G. Krantz, Washington University, St. Louis One of the major assets of the book is Korner's very personal writing style. By keeping his own engagement with the material continually in view, he invites the reader to a similarly high level of involvement. And the witty and erudite asides that are sprinkled throughout the book are a real pleasure. --Gerald Folland, University of Washingtion, Seattle Many students acquire knowledge of a large number of theorems and methods of calculus without being able to say how they hang together. This book provides such students with the coherent account that they need. A Companion to Analysis explains the problems which must be resolved in order to obtain a rigorous development of the calculus and shows the student how those problems are dealt with. Starting with the real line, it moves on to finite dimensional spaces and then to metric spaces. Readers who work through this text will be ready for such courses as measure theory, functional analysis, complex analysis and differential geometry. Moreover, they will be well on the road which leads from mathematics student to mathematician. Able and hard working students can use this book for independent study, or it can be used as the basis for an advanced undergraduate or elementary graduate course. An appendix contains a large number of accessible but non-routine problems to improve knowledge and technique.


A Companion to Analysis

A Companion to Analysis

Author: Thomas William Körner

Publisher: American Mathematical Soc.

Published:

Total Pages: 610

ISBN-13: 9780821872376

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"Able and hard working students can use this book for independent study, or it can be used as the basis for an advanced undergraduate or elementary graduate course. An appendix contains a large number of accessible but non-routine problems to improve knowledge and technique."--BOOK JACKET.


An R and S-Plus® Companion to Multivariate Analysis

An R and S-Plus® Companion to Multivariate Analysis

Author: Brian Everitt

Publisher: Springer Science & Business Media

Published: 2005-03-17

Total Pages: 231

ISBN-13: 1852338822

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Applied statisticians often need to perform analyses of multivariate data; for these they will typically use one of the statistical software packages, S-Plus or R. This book sets out how to use these packages for these analyses in a concise and easy-to-use way, and will save users having to buy two books for the job. The author is well-known for this kind of book, and so buyers will trust that he’s got it right.


Princeton Companion to Applied Mathematics

Princeton Companion to Applied Mathematics

Author: Nicholas J. Higham

Publisher: Princeton University Press

Published: 2015-09-09

Total Pages: 1014

ISBN-13: 0691150397

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The must-have compendium on applied mathematics This is the most authoritative and accessible single-volume reference book on applied mathematics. Featuring numerous entries by leading experts and organized thematically, it introduces readers to applied mathematics and its uses; explains key concepts; describes important equations, laws, and functions; looks at exciting areas of research; covers modeling and simulation; explores areas of application; and more. Modeled on the popular Princeton Companion to Mathematics, this volume is an indispensable resource for undergraduate and graduate students, researchers, and practitioners in other disciplines seeking a user-friendly reference book on applied mathematics. Features nearly 200 entries organized thematically and written by an international team of distinguished contributors Presents the major ideas and branches of applied mathematics in a clear and accessible way Explains important mathematical concepts, methods, equations, and applications Introduces the language of applied mathematics and the goals of applied mathematical research Gives a wide range of examples of mathematical modeling Covers continuum mechanics, dynamical systems, numerical analysis, discrete and combinatorial mathematics, mathematical physics, and much more Explores the connections between applied mathematics and other disciplines Includes suggestions for further reading, cross-references, and a comprehensive index


An R Companion to Political Analysis

An R Companion to Political Analysis

Author: Philip H. Pollock III

Publisher: CQ Press

Published: 2017-04-12

Total Pages: 210

ISBN-13: 1506368832

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Teach your students to conduct political research using R, the open source programming language and software environment for statistical computing and graphics. An R Companion to Political Analysis offers the same easy-to-use and effective style as the best-selling SPSS and Stata Companions. The all-new Second Edition includes new and revised exercises and datasets showing students how to analyze research-quality data to learn descriptive statistics, data transformations, bivariate analysis (cross-tabulations and mean comparisons), controlled comparisons, statistical inference, linear correlation and regression, dummy variables and interaction effects, and logistic regression. The clear explanation and instruction is accompanied by annotated and labeled screen shots and end-of-chapter exercises to help students apply what they have learned. "Students will love this book, as will their teachers." – Courtney Brown, Emory University


Real Analysis

Real Analysis

Author: Barry Simon

Publisher: American Mathematical Soc.

Published: 2015-11-02

Total Pages: 811

ISBN-13: 1470410990

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A Comprehensive Course in Analysis by Poincaré Prize winner Barry Simon is a five-volume set that can serve as a graduate-level analysis textbook with a lot of additional bonus information, including hundreds of problems and numerous notes that extend the text and provide important historical background. Depth and breadth of exposition make this set a valuable reference source for almost all areas of classical analysis. Part 1 is devoted to real analysis. From one point of view, it presents the infinitesimal calculus of the twentieth century with the ultimate integral calculus (measure theory) and the ultimate differential calculus (distribution theory). From another, it shows the triumph of abstract spaces: topological spaces, Banach and Hilbert spaces, measure spaces, Riesz spaces, Polish spaces, locally convex spaces, Fréchet spaces, Schwartz space, and spaces. Finally it is the study of big techniques, including the Fourier series and transform, dual spaces, the Baire category, fixed point theorems, probability ideas, and Hausdorff dimension. Applications include the constructions of nowhere differentiable functions, Brownian motion, space-filling curves, solutions of the moment problem, Haar measure, and equilibrium measures in potential theory.


Object Oriented Data Analysis

Object Oriented Data Analysis

Author: J. S. Marron

Publisher: CRC Press

Published: 2021-11-18

Total Pages: 436

ISBN-13: 1351189662

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Object Oriented Data Analysis is a framework that facilitates inter-disciplinary research through new terminology for discussing the often many possible approaches to the analysis of complex data. Such data are naturally arising in a wide variety of areas. This book aims to provide ways of thinking that enable the making of sensible choices. The main points are illustrated with many real data examples, based on the authors' personal experiences, which have motivated the invention of a wide array of analytic methods. While the mathematics go far beyond the usual in statistics (including differential geometry and even topology), the book is aimed at accessibility by graduate students. There is deliberate focus on ideas over mathematical formulas. J. S. Marron is the Amos Hawley Distinguished Professor of Statistics, Professor of Biostatistics, Adjunct Professor of Computer Science, Faculty Member of the Bioinformatics and Computational Biology Curriculum and Research Member of the Lineberger Cancer Center and the Computational Medicine Program, at the University of North Carolina, Chapel Hill. Ian L. Dryden is a Professor in the Department of Mathematics and Statistics at Florida International University in Miami, has served as Head of School of Mathematical Sciences at the University of Nottingham, and is joint author of the acclaimed book Statistical Shape Analysis.


Experimenting with Ethnography

Experimenting with Ethnography

Author: Andrea Ballestero

Publisher: Duke University Press

Published: 2021-05-28

Total Pages: 219

ISBN-13: 1478013214

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Experimenting with Ethnography collects twenty-one essays that open new paths for doing ethnographic analysis. The contributors—who come from a variety of intellectual and methodological traditions—enliven analysis by refusing to take it as an abstract, disembodied exercise. Rather, they frame it as a concrete mode of action and a creative practice. Encompassing topics ranging from language and the body to technology and modes of collaboration, the essays invite readers to focus on the imaginative work that needs to be performed prior to completing an argument. Whether exchanging objects, showing how to use drawn images as a way to analyze data, or working with smartphones, sound recordings, and social media as analytic devices, the contributors explore the deliberate processes for pursuing experimental thinking through ethnography. Practical and broad in theoretical scope, Experimenting with Ethnography is an indispensable companion for all ethnographers. Contributors. Patricia Alvarez Astacio, Andrea Ballestero, Ivan da Costa Marques, Steffen Dalsgaard, Endre Dányi, Marisol de la Cadena, Marianne de Laet, Carolina Domínguez Guzmán, Rachel Douglas-Jones, Clément Dréano, Joseph Dumit, Melanie Ford Lemus, Elaine Gan, Oliver Human, Alberto Corsín Jiménez, Graham M. Jones, Trine Mygind Korsby, Justine Laurent, James Maguire, George E. Marcus, Annemarie Mol, Sarah Pink, Els Roding, Markus Rudolfi, Ulrike Scholtes, Anthony Stavrianakis, Lucy Suchman, Katie Ulrich, Helen Verran, Else Vogel, Antonia Walford, Karen Waltorp, Laura Watts, Brit Ross Winthereik


Dyadic Data Analysis

Dyadic Data Analysis

Author: David A. Kenny

Publisher: Guilford Publications

Published: 2020-11-26

Total Pages: 482

ISBN-13: 1462546137

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Interpersonal phenomena such as attachment, conflict, person perception, learning, and influence have traditionally been studied by examining individuals in isolation, which falls short of capturing their truly interpersonal nature. This book offers state-of-the-art solutions to this age-old problem by presenting methodological and data-analytic approaches useful in investigating processes that take place among dyads: couples, coworkers, parent and child, teacher and student, or doctor and patient, to name just a few. Rich examples from psychology and across the behavioral and social sciences help build the researcher's ability to conceptualize relationship processes; model and test for actor effects, partner effects, and relationship effects; and model and control for the statistical interdependence that can exist between partners. The companion website provides clarifications, elaborations, corrections, and data and files for each chapter.


A Companion to Econometric Analysis of Panel Data

A Companion to Econometric Analysis of Panel Data

Author: Badi H. Baltagi

Publisher: John Wiley & Sons

Published: 2009-06-22

Total Pages: 322

ISBN-13: 0470744030

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‘Econometric Analysis of Panel Data’ has become established as the leading textbook for postgraduate courses in panel data. This book is intended as a companion to the main text. The prerequisites include a good background in mathematical statistics and econometrics. The companion guide will add value to the existing textbooks on panel data by solving exercises in a logical and pedagogical manner, helping the reader understand, learn and teach panel data. These exercises are based upon those in Baltagi (2008) and are complementary to that text even though they are stand alone material and the reader can learn the basic material as they go through these exercises. The exercises in this book start by providing some background material on partitioned regressions and the Frisch-Waugh-Lovell theorem, showing the reader some applications of this material that are useful in practice. Then it goes through the basic material on fixed and random effects models in a one-way and two-way error components models, following the same outline as in Baltagi (2008). The book also provides some empirical illustrations and examples using Stata and EViews that the reader can replicate. The data sets are available on the Wiley web site (www.wileyeurope.com/college/baltagi).