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- Encyclopedia of Mathematics and the Social Sciences by Salem Press Editors; Sarah Greenwald (Editor) This single explores the application of mathematics in business and government, history, and economics. It includes articles on accounting, credit cards, national debt and Stock Market IndicesPublication Date: 2012
- Handbook of Linear Partial Differential Equations for Engineers and Scientists, Second Edition by Andrei D. Polyanin; Vladimir E. Nazaikinskii New to the Second Edition are more than 700 pages with 1,500+ new first-, second-, third-, fourth-, and higher-order linear equations with solutions Systems of coupled PDEs with solutions. Some analytical methods, including decomposition methods and their applications. Symbolic and numerical methods for solving linear PDEs with Maple, Mathematica, and MATLAB. Many new problems, illustrative examples, tables, and figures. To accommodate different mathematical backgrounds, the authors avoid wherever possible the use of special terminology, outline some of the methods in a schematic, simplified manner, and arrange the material in increasing order of complexity, psychology, pharmaceuticals, and mathematics, and provides a clear introduction to the subject for the general reader.Publication Date: 2016
- Handbook of Mathematics for Engineers and Scientists by Andrei D. Polyanin; Alexander V. Manzhirov The concise handbook covers the main fields of mathematics and focuses on the methods used for obtaining solutions of various classes of mathematical equations that underlie the mathematical modeling of numerous phenomena and processes in science and technology. It outlines the material in a simplified, schematic manner, avoiding special terminology wherever possible. The first part is a coherent survey of the most important definitions, formulas, equations, methods, and theorems. The second part provides many in-depth mathematical tables, including those of exact solutions of various types of equations.Publication Date: 2006
- The Princeton Companion to Mathematics by Timothy Gowers (Editor); June Barrow-Green (Editor); Imre Leader (Editor); June Barrow-Green (Editor) This is a one-of-a-kind reference for anyone with a serious interest in mathematics. It presents nearly 200 entries, that introduce basic mathematical tools and vocabulary; trace the development of modern mathematics; explain essential terms and concepts; examine core ideas in major areas of mathematics; describe the achievements of scores of famous mathematicians; explore the impact of mathematics on other disciplines such as biology, finance, and music--and much, much more.Publication Date: 2010
- Handbook of Computational Statistics by James E. Gentle (Editor); Wolfgang Karl HÃ¤rdle (Editor); Yuichi Mori (Editor)ISBN: 9783642215513Publication Date: 2012-07-06The Handbook of Computational Statistics - Concepts and Methods (second edition) is divided into 4 parts. It begins with "How Computational Statistics became the backbone of modern data science" (Ch.1): an overview of the field of Computational Statistics, how it emerged as a separate discipline, and how its own development mirrored that of hardware and software, including a discussion of current active research. The second part (Chs. 2 - 15) presents several topics in the supporting field of statistical computing. Emphasis is placed on the need for fast and accurate numerical algorithms, and some of the basic methodologies for transformation, database handling, high-dimensional data and graphics treatment are discussed. The third part (Chs. 16 - 33) focuses on statistical methodology. Special attention is given to smoothing, iterative procedures, simulation and visualization of multivariate data. Lastly, a set of selected applications (Chs. 34 - 38) like Bioinformatics, Medical Imaging, Finance, Econometrics and Network Intrusion Detection highlight the usefulness of computational statistics in real-world applications.
- Practical Statistics by John BuglearISBN: 9780749468460Publication Date: 2013-11-28Practical Statistics is an introduction and reference guide which gives the reader a solid understanding of statistics without being too simple or mind-numbingly complex. It turns statistics, into something approachable and sensible by emphasizes the importance of working back from results rather than working out results. With basic concepts that get increasingly more complex, simple diagrams to multivariate methods, as well as using simple metaphors to aid understanding. The book has a two-level approach, with sections headed 'The essentials' and 'Tell me more' to support learning at all levels.
- A Tiny Handbook on R by Mike AllerhandISBN: 9783642179808Publication Date: 2011-03-25This Brief provides a roadmap for the R language and programming environment with signposts to further resources and documentation.
- A Handbook of Statistical Analyses Using R, Third Edition by Torsten Hothorn; Brian S. EverittISBN: 9781482204599Publication Date: 3rd ed, 2014-05-30A Handbook of Statistical Analyses using R provides an up-to-date guide to data analysis using the R system for statistical computing. The book explains how to conduct a range of statistical analyses, from simple inference to recursive partitioning to cluster analysis.
- Schaum's Outline of Theory and Problems of Statistics by Murray R. Spiegel; Larry J. StephensISBN: 9780071594462Publication Date: 4th ed, 2008-01-01Schaum's Outlines presents all the essential course information in an easy-to-follow, topic-by-topic format. You also get hundreds of examples, solved problems, and practice exercises to test your skills.
- Concise Guide to Statistics by Hans-Michael KaltenbachISBN: 9783642235023Publication Date: 2011-09-18A concise introduction into fundamental concepts in statistics. Chapter 1: Short exposition of probability theory, using generic examples. Chapter 2: Estimation in theory and practice, using biologically motivated examples. Maximum-likelihood estimation in covered, including Fisher information and power computations. Methods for calculating confidence intervals and robust alternatives to standard estimators are given. Chapter 3: Hypothesis testing with emphasis on concepts, particularly type-I , type-II errors, and interpreting test results. Several examples are provided. T-tests are used throughout, followed important other tests and robust/nonparametric alternatives. Multiple testing is discussed in more depth, and combination of independent tests is explained. Chapter 4: Linear regression, with computations solely based on R. Multiple group comparisons with ANOVA are covered together with linear contrasts, again using R for computations.

- The Concise Oxford Dictionary of Mathematics by Christopher Clapham; James NicholsonISBN: 9780199679591Publication Date: 2014-07-22This dictionary is authoritative, reliable and provides jargon-free definitions for even the most technical mathematical terms. With over 3,000 entries ranging from Achilles paradox to zero matrix, it covers all commonly encountered terms and concepts from pure and applied mathematics and statistics, for example, linear algebra, optimisation, nonlinear equations, and differential equations. In addition, there are entries on major mathematicians and on topics of more general interest, such as fractals, game theory, and chaos. Usinggraphs, diagrams, and charts to render definitions as comprehensible as possible, entries are clear and accessible. Almost 200 new entries have been added to this edition, including terms such as arrow paradox, nested set, and symbolic logic.
- A Dictionary of Statistics 3e by Graham Upton; Ian CookISBN: 9780199679188Publication Date: 2014-05-13This wide-ranging, jargon-free dictionary contains over 2,300 entries on all aspects of statistics, including terms used in computing, mathematics, and probability. While embracing the whole multi-disciplinary spectrum of this complex subject, information is presented in a clear and practical manner.

- International Encyclopedia of Statistical Science by Miodrag Lovric (Editor)ISBN: 9783642048982Publication Date: 2011-02-16This book is multidimensional: a) to help reviving Statistics education in many parts in the world where it is in crisis. b) to enable any non-statistician to obtain quick and yet comprehensive and highly understandable view on certain statistical term, method or application c) to enable all the researchers, managers and practicioners to refresh their knowledge in Statistics, especially in certain controversial fields. d) to revive interest in statistics among students, since they will see its usefulness and relevance in almost all branches of Science.
- Encyclopedia of Statistical Sciences by N. Balakrishnan (Editor-In-Chief); Samuel Kotz (Editor-In-Chief); Campbell B. Read (Editor-In-Chief); Brani Vidakovic (Editor-In-Chief)ISBN: 9780471150442Publication Date: 2005-12-16This source of information on statistical theory, methods, and applications is designed to bring the encyclopedia in line with the latest topics and advances made in statistical science over the past decade--in areas such as computer-intensive statistical methodology, genetics, medicine, the environment, and other applications. Written by over 600 world-renowned experts (including the editors), the entries are self-contained and easily understood by readers with a limited statistical background. With the publication of this second edition in 16 printed volumes, the Encyclopedia of Statistical Sciences retains its position as a cutting-edge reference of choice for those working in statistics, biostatistics, quality control, economics, sociology, engineering, probability theory, computer science, biomedicine, psychology, and many other areas.
- The Concise Encyclopedia of Statistics by Yadolah DodgeISBN: 9780387328331Publication Date: 2008-02-21The Concise Encyclopedia of Statistics presents the essential information about statistical tests, concepts, and analytical methods in language that is accessible to practitioners and students of the vast community using statistics in medicine, engineering, physical science, life science, social science, and business/economics. The reference is alphabetically arranged to provide quick access to the fundamental tools of statistical methodology and biographies of famous statisticians. The more than 500 entries include definitions, history, mathematical details, limitations, examples, references, and further readings. All entries include cross-references as well as the key citations. The back matter includes a timeline of statistical inventions. This reference will be an enduring resource for locating convenient overviews about this essential field of study.

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