Guide to Analysis


Author: F. Mary Hart
Publisher: Macmillan International Higher Education
ISBN: 1349093904
Category: Applied mathematics
Page: 202
View: 2031

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Guide to Analysis aims to minimise the difficulties which arise from the contrast between analysis and sixth form mathematics. It includes historical notes and anecdotes which will help the reader to appreciate how the subject developed to its present form. Plenty of worked and unworked examples, the latter with hints for solution and answers, are also included.

A Guide to Functional Analysis


Author: Steven G. Krantz
Publisher: MAA
ISBN: 0883853574
Category: Mathematics
Page: 150
View: 8963

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This book is a quick but precise and careful introduction to the subject of functional analysis. It covers the basic topics that can be found in a basic graduate analysis text. But it also covers more sophisticated topics such as spectral theory, convexity, and fixed-point theorems. A special feature of the book is that it contains a great many examples and even some applications. It concludes with a statement and proof of Lomonosov's dramatic result about invariant subspaces.

A Guide to Complex Variables


Author: Steven G. Krantz
Publisher: MAA
ISBN: 9780883853382
Category: Mathematics
Page: 182
View: 772

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A quick and easy-to-use introduction to the key topics in complex variables, for mathematicians and non-mathematicians alike.

Guide to Information Sources in Mathematics and Statistics


Author: Martha A. Tucker,Nancy D. Anderson
Publisher: ABC-CLIO
ISBN: 0313053375
Category: Language Arts & Disciplines
Page: 368
View: 4518

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This book is a reference for librarians, mathematicians, and statisticians involved in college and research level mathematics and statistics in the 21st century. We are in a time of transition in scholarly communications in mathematics, practices which have changed little for a hundred years are giving way to new modes of accessing information. Where journals, books, indexes and catalogs were once the physical representation of a good mathematics library, shelves have given way to computers, and users are often accessing information from remote places. Part I is a historical survey of the past 15 years tracking this huge transition in scholarly communications in mathematics. Part II of the book is the bibliography of resources recommended to support the disciplines of mathematics and statistics. These are grouped by type of material. Publication dates range from the 1800's onwards. Hundreds of electronic resources-some online, both dynamic and static, some in fixed media, are listed among the paper resources. Amazingly a majority of listed electronic resources are free.

A Guide to Topology


Author: Steven G. Krantz
Publisher: MAA
ISBN: 9780883853467
Category: Mathematics
Page: 107
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This book is an outline of the core material in the standard graduate-level real analysis course. It is intended as a resource for students in such a course as well as others who wish to learn or review the subject. On the abstract level, it covers the theory of measure and integration and the basics of point set topology, functional analysis, and the most important types of function spaces. On the more concrete level, it also deals with the applications of these general theories to analysis on Euclidean space: the Lebesgue integral, Hausdorff measure, convolutions, Fourier series and transforms, and distributions. The relevant definitions and major theorems are stated in detail. Proofs, however, are generally presented only as sketches, in such a way that the key ideas are explained but the technical details are omitted. In this way a large amount of material is presented in a concise and readable form.

A Student's Guide to Data and Error Analysis


Author: Herman J. C. Berendsen
Publisher: Cambridge University Press
ISBN: 1139497855
Category: Technology & Engineering
Page: N.A
View: 825

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All students taking laboratory courses within the physical sciences and engineering will benefit from this book, whilst researchers will find it an invaluable reference. This concise, practical guide brings the reader up-to-speed on the proper handling and presentation of scientific data and its inaccuracies. It covers all the vital topics with practical guidelines, computer programs (in Python), and recipes for handling experimental errors and reporting experimental data. In addition to the essentials, it also provides further background material for advanced readers who want to understand how the methods work. Plenty of examples, exercises and solutions are provided to aid and test understanding, whilst useful data, tables and formulas are compiled in a handy section for easy reference.

Guide to Mathematical Methods


Author: John Gilbert,Camilla R. Jordan
Publisher: Macmillan International Higher Education
ISBN: 1403914567
Category: Mathematics
Page: 448
View: 548

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A second edition of this text for science and engineering undergraduates which introduces the mathematical techniques and tools needed to solve the mathematical problems they will face on the first year of their course. Updated and revised by Camilla Jordan, the book now has additional examples and practice your skills sections. As with other titles in the Mathematical Guides series, this book is designed to enable students to acquire confidence and provides a solid foundation for further study

Mathe-Manga Statistik


Author: Shin Takahashi
Publisher: Springer-Verlag
ISBN: 9783834805669
Category: Mathematics
Page: 189
View: 1174

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Statistik ist trocken und macht keinen Spaß? Falsch! Mit diesem Manga lernt man die Grundlagen der Statistik kennen, kann sie in zahlreichen Aufgaben anwenden und anhand der Lösungen seinen Lernfortschritt überprüfen – und hat auch noch eine Menge Spaß dabei! Eigentlich will die Schülerin Rui nur einen Arbeitskollegen ihres Vaters beeindrucken und nimmt daher Nachhilfe in Statistik. Doch schnell bemerkt auch sie, wie interessant Statistik sein kann, wenn man beispielsweise Statistiken über Nudelsuppen erstellt. Nur ihren Lehrer hatte sich Rui etwas anders vorgestellt, er scheint ein langweiliger Streber zu sein – oder?

Succeed with Math

Every Student's Guide to Conquering Math Anxiety
Author: Sheila Tobias
Publisher: Macmillan Publishing Company
ISBN: 9780874472592
Category: Reference
Page: 252
View: 2803

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Offers techniques for achieing math competence and demonstrates the importance and application of math skills in business

A Guide to Real Variables


Author: Steven G. Krantz
Publisher: MAA
ISBN: 9780883853443
Category: Mathematics
Page: 147
View: 2082

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A Guide to Real Variables is an aid and conceptual support for students taking an undergraduate course on real analysis. It focuses on concepts, results, examples and illustrative figures, rather than the details of proofs, in order to remain a concise guide which students can dip into. The core topics of a first real analysis course are covered, including sequences, series, modes of convergence, the derivative, the integral and metric spaces. The next book in this series, Folland's A Guide to Advanced Real Analysis is designed to naturally follow on from this book, and introduce students to graduate level real analysis. Together these books provide a concise guide to the subject at all levels, ideal for student preparation for exams.

Sensitivity Analysis in Practice

A Guide to Assessing Scientific Models
Author: A. Saltelli,Stefano Tarantola,Marco Ratto
Publisher: John Wiley & Sons
ISBN: 047087094X
Category: Mathematics
Page: 232
View: 6137

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Sensitivity analysis should be considered a pre-requisite for statistical model building in any scientific discipline where modelling takes place. For a non-expert, choosing the method of analysis for their model is complex, and depends on a number of factors. This book guides the non-expert through their problem in order to enable them to choose and apply the most appropriate method. It offers a review of the state-of-the-art in sensitivity analysis, and is suitable for a wide range of practitioners. It is focussed on the use of SIMLAB – a widely distributed freely-available sensitivity analysis software package developed by the authors – for solving problems in sensitivity analysis of statistical models. Other key features: Provides an accessible overview of the current most widely used methods for sensitivity analysis. Opens with a detailed worked example to explain the motivation behind the book. Includes a range of examples to help illustrate the concepts discussed. Focuses on implementation of the methods in the software SIMLAB - a freely-available sensitivity analysis software package developed by the authors. Contains a large number of references to sources for further reading. Authored by the leading authorities on sensitivity analysis.

Reader's Guide to the History of Science


Author: Arne Hessenbruch
Publisher: Taylor & Francis
ISBN: 9781884964299
Category: Science
Page: 934
View: 8360

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"A readers' advisory to the best books on the history of science. Written by 200 international scholars, the 600 comparative essays begin with a bibliography of important works, followed by reviews of those sources in the body of the entry. Important concepts and processes, phenomena, and scientists as well as scientific developments in different countries are covered."--"Outstanding Reference Sources," American Libraries, May 2002.

Resampling Methods

A Practical Guide to Data Analysis
Author: Phillip I. Good
Publisher: Springer Science & Business Media
ISBN: 081764444X
Category: Mathematics
Page: 218
View: 1494

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This thoroughly revised and expanded third edition is a practical guide to data analysis using the bootstrap, cross-validation, and permutation tests. Only requiring minimal mathematics beyond algebra, it provides a table-free introduction to data analysis utilizing numerous exercises, practical data sets, and freely available statistical shareware. New to the third edition are additional program listings and screen shots of C++, CART, Blossom, Box Sampler (an Excel add-in), EViews, MATLAB, R, Resampling Stats, SAS macros, S-Plus, Stata, or StatXact, which accompany each resampling procedure. A glossary and solutions to selected exercises have also been added. With its accessible style and intuitive topic development, the book is an excellent basic resource for the power, simplicity, and versatility of resampling methods. It is an essential resource for statisticians, biostatisticians, statistical consultants, students, and research professionals in the biological, physical, and social sciences, engineering, and technology.

Taschenbuch der Mathematik


Author: Ilja N. Bronstein,Heiner Mühlig,Gerhard Musiol,Konstantin A. Semendjajew
Publisher: N.A
ISBN: 9783808556719
Category:
Page: 1231
View: 627

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A Guide to Advanced Linear Algebra


Author: Steven H. Weintraub
Publisher: MAA
ISBN: 0883853515
Category: Mathematics
Page: 251
View: 6917

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Linear algebra occupies a central place in modern mathematics. This book provides a rigorous and thorough development of linear algebra at an advanced level, and is directed at graduate students and professional mathematicians. It approaches linear algebra from an algebraic point of view, but its selection of topics is governed not only for their importance in linear algebra itself, but also for their applications throughout mathematics. Students in algebra, analysis, and topology will find much of interest and use to them, and the careful treatment and breadth of subject matter will make this book a valuable reference for mathematicians throughout their professional lives. Topics treated in this book include: vector spaces and linear transformations; dimension counting and applications; representation of linear transformations by matrices; duality; determinants and their uses; rational and especially Jordan canonical form; bilinear forms; inner product spaces; normal linear transformations and the spectral theorem; and an introduction to matrix groups as Lie groups. The book treats vector spaces in full generality, though it concentrates on the finite dimensional case. Also, it treats vector spaces over arbitrary fields, specializing to algebraically closed fields or to the fields of real and complex numbers as necessary.

The ESRI Guide to GIS Analysis: Geographic patterns & relationships


Author: Andy Mitchell,Michael Minami,Environmental Systems Research Institute (Redlands, Calif.)
Publisher: ESRI, Inc.
ISBN: 9781879102064
Category: Science
Page: 186
View: 7987

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How to conduct accurate analysis using powerful GIS software tools.

Mathematical Publishing

A Guidebook
Author: Steven George Krantz
Publisher: American Mathematical Soc.
ISBN: 9780821872598
Category: Mathematics
Page: 297
View: 2327

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Mathematicians are expected to publish their work: in journals, conference proceedings, and books. It is vital to advancing their careers. Later, some are asked to become editors. However, most mathematicians are trained to do mathematics, not to publish it. But here, finally, for graduate students and researchers interested in publishing their work, Steven G. Krantz, the respected author of several "how-to" guides in mathematics, shares his experience as an author, editor, editorial board member, and independent publisher. This new volume is an informative, comprehensive guidebook to publishing mathematics. Krantz describes both the general setting of mathematical publishing and the specifics about all the various publishing situations mathematicians may encounter. As with his other books, Krantz's style is engaging and frank. He gives advice on how to get your book published, how to get organized as an editor, what to do when things go wrong, and much more. He describes the people, the language (including a glossary), and the process of publishing both books and journals. Steven G. Krantz is an accomplished mathematician and an award-winning author. He has published more than 130 research articles and 45 books. He has worked as an editor of several book series, research journals, and for the Notices of the AMS. He is also the founder of the Journal of Geometric Analysis. Other titles available from the AMS by Steven G. Krantz are How to Teach Mathematics, A Primer of Mathematical Writing, A Mathematician's Survival Guide, and Techniques of Problem Solving.

The Chicago Guide to Writing about Multivariate Analysis, Second Edition


Author: Jane E. Miller
Publisher: University of Chicago Press
ISBN: 022603819X
Category: Reference
Page: 560
View: 2642

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Many different people, from social scientists to government agencies to business professionals, depend on the results of multivariate models to inform their decisions. Researchers use these advanced statistical techniques to analyze relationships among multiple variables, such as how exercise and weight relate to the risk of heart disease, or how unemployment and interest rates affect economic growth. Yet, despite the widespread need to plainly and effectively explain the results of multivariate analyses to varied audiences, few are properly taught this critical skill. The Chicago Guide to Writing about Multivariate Analysis is the book researchers turn to when looking for guidance on how to clearly present statistical results and break through the jargon that often clouds writing about applications of statistical analysis. This new edition features even more topics and real-world examples, making it the must-have resource for anyone who needs to communicate complex research results. For this second edition, Jane E. Miller includes four new chapters that cover writing about interactions, writing about event history analysis, writing about multilevel models, and the “Goldilocks principle” for choosing the right size contrast for interpreting results for different variables. In addition, she has updated or added numerous examples, while retaining her clear voice and focus on writers thinking critically about their intended audience and objective. Online podcasts, templates, and an updated study guide will help readers apply skills from the book to their own projects and courses. This continues to be the only book that brings together all of the steps involved in communicating findings based on multivariate analysis—finding data, creating variables, estimating statistical models, calculating overall effects, organizing ideas, designing tables and charts, and writing prose—in a single volume. When aligned with Miller’s twelve fundamental principles for quantitative writing, this approach will empower readers—whether students or experienced researchers—to communicate their findings clearly and effectively.