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Books in Mathematics

The Mathematics collection presents a range of foundational and advanced research content across applied and discrete mathematics, including fields such as Computational Mathematics; Differential Equations; Linear Algebra; Modelling & Simulation; Numerical Analysis; Probability & Statistics.

BooksJournals

    • Hazardous Forecasts and Crisis Scenario Generator

      • 1st Edition
      • September 25, 2015
      • Arnaud Clément-Grandcourt + 1 more
      • English
      • Hardback
        9 7 8 1 7 8 5 4 8 0 2 8 7
      • eBook
        9 7 8 0 0 8 1 0 0 7 7 7 8
      This book presents a crisis scenario generator with black swans, black butterflies and worst case scenarios. It is the most useful scenario generator that can be used to manage assets in a crisis-prone period, offering more reliable values for Value at Risk (VaR), Conditional Value at Risk (CVaR) and Tail Value at Risk (TVaR). Hazardous Forecasts and Crisis Scenario Generator questions how to manage assets when crisis probability increases, enabling you to adopt a process for using generators in order to be well prepared for handling crises.

    • Introduction to Statistical Machine Learning

      • 1st Edition
      • September 25, 2015
      • Masashi Sugiyama
      • English
      • Paperback
        9 7 8 0 1 2 8 0 2 1 2 1 7
      • eBook
        9 7 8 0 1 2 8 0 2 3 5 0 1
      Machine learning allows computers to learn and discern patterns without actually being programmed. When Statistical techniques and machine learning are combined together they are a powerful tool for analysing various kinds of data in many computer science/engineering areas including, image processing, speech processing, natural language processing, robot control, as well as in fundamental sciences such as biology, medicine, astronomy, physics, and materials. Introduction to Statistical Machine Learning provides a general introduction to machine learning that covers a wide range of topics concisely and will help you bridge the gap between theory and practice. Part I discusses the fundamental concepts of statistics and probability that are used in describing machine learning algorithms. Part II and Part III explain the two major approaches of machine learning techniques; generative methods and discriminative methods. While Part III provides an in-depth look at advanced topics that play essential roles in making machine learning algorithms more useful in practice. The accompanying MATLAB/Octave programs provide you with the necessary practical skills needed to accomplish a wide range of data analysis tasks.

    • An Introduction to Stochastic Orders

      • 1st Edition
      • September 21, 2015
      • Felix Belzunce + 2 more
      • English
      • Paperback
        9 7 8 0 1 2 8 0 3 7 6 8 3
      • eBook
        9 7 8 0 1 2 8 0 3 8 2 6 0
      An Introduction to Stochastic Orders discusses this powerful tool that can be used in comparing probabilistic models in different areas such as reliability, survival analysis, risks, finance, and economics. The book provides a general background on this topic for students and researchers who want to use it as a tool for their research. In addition, users will find detailed proofs of the main results and applications to several probabilistic models of interest in several fields, and discussions of fundamental properties of several stochastic orders, in the univariate and multivariate cases, along with applications to probabilistic models.

    • Fluid Flow, Heat and Mass Transfer at Bodies of Different Shapes

      • 1st Edition
      • September 8, 2015
      • Kuppalapalle Vajravelu + 1 more
      • English
      • Hardback
        9 7 8 0 1 2 8 0 3 7 3 3 1
      • eBook
        9 7 8 0 1 2 8 0 3 7 8 5 0
      Most of the equations governing the problems related to science and engineering are nonlinear in nature. As a result, they are inherently difficult to solve. Analytical solutions are available only for some special cases. For other cases, one has no easy means but to solve the problem must depend on numerical solutions. Fluid Flow, Heat and Mass Transfer at Bodies of Different Shapes: Numerical Solutions presents the current theoretical developments of boundary layer theory, a branch of transport phenomena. Also, the book addresses the theoretical developments in the area and presents a number of physical problems that have been solved by analytical or numerical method. It is focused particularly on fluid flow problems governed by nonlinear differential equations. The book is intended for researchers in applied mathematics, physics, mechanics and engineering.

    • Biostatistics for Medical and Biomedical Practitioners

      • 1st Edition
      • September 3, 2015
      • Julien I. E. Hoffman
      • English
      • Paperback
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      • eBook
        9 7 8 0 1 2 8 0 2 6 0 7 6
      Biostatistics for Practitioners: An Interpretative Guide for Medicine and Biology deals with several aspects of statistics that are indispensable for researchers and students across the biomedical sciences. The book features a step-by-step approach, focusing on standard statistical tests, as well as discussions of the most common errors. The book is based on the author’s 40+ years of teaching statistics to medical fellows and biomedical researchers across a wide range of fields.

    • Methods and Applications of Longitudinal Data Analysis

      • 1st Edition
      • September 1, 2015
      • Xian Liu
      • English
      • Hardback
        9 7 8 0 1 2 8 0 1 3 4 2 7
      • eBook
        9 7 8 0 1 2 8 0 1 4 8 2 0
      Methods and Applications of Longitudinal Data Analysis describes methods for the analysis of longitudinal data in the medical, biological and behavioral sciences. It introduces basic concepts and functions including a variety of regression models, and their practical applications across many areas of research. Statistical procedures featured within the text include: descriptive methods for delineating trends over time linear mixed regression models with both fixed and random effects covariance pattern models on correlated errors generalized estimating equations nonlinear regression models for categorical repeated measurements techniques for analyzing longitudinal data with non-ignorable missing observations Emphasis is given to applications of these methods, using substantial empirical illustrations, designed to help users of statistics better analyze and understand longitudinal data. Methods and Applications of Longitudinal Data Analysis equips both graduate students and professionals to confidently apply longitudinal data analysis to their particular discipline. It also provides a valuable reference source for applied statisticians, demographers and other quantitative methodologists.

    • Stochastic Calculus for Quantitative Finance

      • 1st Edition
      • August 19, 2015
      • Alexander A Gushchin
      • English
      • Hardback
        9 7 8 1 7 8 5 4 8 0 3 4 8
      • eBook
        9 7 8 0 0 8 1 0 0 4 7 6 0
      In 1994 and 1998 F. Delbaen and W. Schachermayer published two breakthrough papers where they proved continuous-time versions of the Fundamental Theorem of Asset Pricing. This is one of the most remarkable achievements in modern Mathematical Finance which led to intensive investigations in many applications of the arbitrage theory on a mathematically rigorous basis of stochastic calculus.Mathematica... Basis for Finance: Stochastic Calculus for Finance provides detailed knowledge of all necessary attributes in stochastic calculus that are required for applications of the theory of stochastic integration in Mathematical Finance, in particular, the arbitrage theory. The exposition follows the traditions of the Strasbourg school. This book covers the general theory of stochastic processes, local martingales and processes of bounded variation, the theory of stochastic integration, definition and properties of the stochastic exponential; a part of the theory of Lévy processes. Finally, the reader gets acquainted with some facts concerning stochastic differential equations.

    • Contagion Phenomena with Applications in Finance

      • 1st Edition
      • August 19, 2015
      • Serge Darolles + 1 more
      • English
      • Hardback
        9 7 8 1 7 8 5 4 8 0 3 5 5
      • eBook
        9 7 8 0 0 8 1 0 0 4 7 8 4
      Much research into financial contagion and systematic risks has been motivated by the finding that cross-market correlations (resp. coexceedances) between asset returns increase significantly during crisis periods. Is this increase due to an exogenous shock common to all markets (interdependence) or due to certain types of transmission of shocks between markets (contagion)? Darolles and Gourieroux explain that an attempt to convey contagion and causality in a static framework can be flawed due to identification problems; they provide a more precise definition of the notion of shock to strengthen the solution within a dynamic framework.This book covers the standard practice for defining shocks in SVAR models, impulse response functions, identitification issues, static and dynamic models, leading to the challenges of measurement of systematic risk and contagion, with interpretations of hedge fund survival and market liquidity risks

    • Bent Functions

      • 1st Edition
      • August 6, 2015
      • Natalia Tokareva
      • English
      • Paperback
        9 7 8 0 1 2 8 0 2 3 1 8 1
      • eBook
        9 7 8 0 1 2 8 0 2 5 5 5 0
      Bent Functions: Results and Applications to Cryptography offers a unique survey of the objects of discrete mathematics known as Boolean bent functions. As these maximal, nonlinear Boolean functions and their generalizations have many theoretical and practical applications in combinatorics, coding theory, and cryptography, the text provides a detailed survey of their main results, presenting a systematic overview of their generalizations and applications, and considering open problems in classification and systematization of bent functions. The text is appropriate for novices and advanced researchers, discussing proofs of several results, including the automorphism group of bent functions, the lower bound for the number of bent functions, and more.

    • Latin Squares and their Applications

      • 2nd Edition
      • July 24, 2015
      • A. Donald Keedwell + 1 more
      • English
      • Hardback
        9 7 8 0 4 4 4 6 3 5 5 5 6
      • eBook
        9 7 8 0 4 4 4 6 3 5 5 8 7
      Latin Squares and Their Applications, Second edition offers a long-awaited update and reissue of this seminal account of the subject. The revision retains foundational, original material from the frequently-cited 1974 volume but is completely updated throughout. As with the earlier version, the author hopes to take the reader ‘from the beginnings of the subject to the frontiers of research’. By omitting a few topics which are no longer of current interest, the book expands upon active and emerging areas. Also, the present state of knowledge regarding the 73 then-unsolved problems given at the end of the first edition is discussed and commented upon. In addition, a number of new unsolved problems are proposed. Using an engaging narrative style, this book provides thorough coverage of most parts of the subject, one of the oldest of all discrete mathematical structures and still one of the most relevant. However, in consequence of the huge expansion of the subject in the past 40 years, some topics have had to be omitted in order to keep the book of a reasonable length. Latin squares, or sets of mutually orthogonal latin squares (MOLS), encode the incidence structure of finite geometries; they prescribe the order in which to apply the different treatments in designing an experiment in order to permit effective statistical analysis of the results; they produce optimal density error-correcting codes; they encapsulate the structure of finite groups and of more general algebraic objects known as quasigroups. As regards more recreational aspects of the subject, latin squares provide the most effective and efficient designs for many kinds of games tournaments and they are the templates for Sudoku puzzles. Also, they provide a number of ways of constructing magic squares, both simple magic squares and also ones with additional properties.

Related subjects

Mathematics and applied mathematics

Statistics and probability