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  • Distributions and Operators
    Distributions and Operators

    This textbook gives an introduction to distribution theory with emphasis on applications using functional analysis.In more advanced parts of the book, pseudodi?erential methods are introduced.Distributiontheoryhasbeen developedprimarilytodealwithpartial(and ordinary) di?erential equations in general situations.Functional analysis in, say, Hilbert spaces has powerful tools to establish operators with good m- ping properties and invertibility properties.A combination of the two allows showing solvability of suitable concrete partial di?erential equations (PDE).When partial di?erential operators are realized as operators in L (?) for 2 n anopensubset?ofR ,theycomeoutasunboundedoperators.Basiccourses infunctionalanalysisareoftenlimitedtothestudyofboundedoperators,but we here meet the necessityof treating suitable types ofunbounded operators; primarily those that are densely de?ned and closed. Moreover, the emphasis in functional analysis is often placed on selfadjoint or normal operators, for which beautiful results can be obtained by means of spectral theory, but the cases of interest in PDE include many nonselfadjoint operators, where diagonalizationbyspectraltheoryisnotveryuseful.Weincludeinthisbooka chapter on unbounded operatorsin Hilbert space (Chapter 12),where classes of convenient operators are set up, in particular the variational operators, including selfadjoint semibounded cases (e.g., the Friedrichs extension of a symmetric operator), but with a much wider scope.Whereas the functional analysis de?nition of the operators is relatively clean and simple, the interpretation to PDE is more messy and complicated.

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  • Extreme Value Distributions
    Extreme Value Distributions

    The aim of the book is to give a through account of the basic theory of extreme value distributions.The book cover a wide range of materials available to date.The central ideas and results of extreme value distributions are presented.The book rwill be useful o applied statisticians as well statisticians interrested to work in the area of extremen value distributions.vmonograph presents the central ideas and results of extreme value distributions.The monograph gives self-contained of theory and applications of extreme value distributions.

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  • Foundations of Quantitative Finance, Book VI:  Densities, Transformed Distributions, and Limit Theorems
    Foundations of Quantitative Finance, Book VI: Densities, Transformed Distributions, and Limit Theorems

    Every finance professional wants and needs a competitive edge.A firm foundation in advanced mathematics can translate into dramatic advantages to professionals willing to obtain it.Many are not—and that is the competitive edge these books offer the astute reader. Published under the collective title of Foundations of Quantitative Finance, this set of ten books develops the advanced topics in mathematics that finance professionals need to advance their careers.These books expand the theory most do not learn in graduate finance programs, or in most financial mathematics undergraduate and graduate courses. As an investment executive and authoritative instructor, Robert R.Reitano presents the mathematical theories he encountered and used in nearly three decades in the financial services industry and two decades in academia where he taught in highly respected graduate programs. Readers should be quantitatively literate and familiar with the developments in the earlier books in the set.While the set offers a continuous progression through these topics, each title can be studied independently. FeaturesExtensively referenced to materials from earlier booksPresents the theory needed to support advanced applicationsSupplements previous training in mathematics, with more detailed developmentsBuilt from the author's five decades of experience in industry, research, and teachingPublished and forthcoming titles in the Robert R.Reitano Quantitative Finance Series:Book I: Measure Spaces and Measurable FunctionsBook II: Probability Spaces and Random VariablesBook III: The Integrals of Riemann, Lebesgue and (Riemann-)StieltjesBook IV: Distribution Functions and ExpectationsBook V: General Measure and Integration TheoryBook VI: Densities, Transformed Distributions, and Limit TheoremsBook VII: Brownian Motion and Other Stochastic ProcessesBook VIII: Itô Integration and Stochastic Calculus 1Book IX: Stochastic Calculus 2 and Stochastic Differential EquationsBook X: Classical Models and Applications in Finance

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  • Creative Work and Distributions of Power
    Creative Work and Distributions of Power

    Creative Work and Distributions of Power is a journey toward an energized and expanded space for considering power in discussions of creative work. Starting with the participatory creativity framework, this book expertly guides readers through case studies of two very different examples of creative work: the 20th-century, groundbreaking systems theorist Gregory Bateson and the current musician/polymath Tyler, The Creator.Through skillfully interwoven narrative and theory, chapters provide readers with a deep understanding of the roles of power in the ways creativity emerges from complex social, material, and historical systems.Thoughtful metalogues featured throughout the book bring readers into the minds of the authors, illustrating the very processes being analyzed.The result is a model of the functions of creative work in mediating personal capacities and larger societal forces. This critical addition to the discourse around creativity and its practice is an ideal first step in understanding creative work and distributions of power for readers in creativity studies as well as sociology and psychology courses.

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  • What are binomial distributions?

    Binomial distributions are a type of probability distribution that describes the number of successes in a fixed number of independent trials, where each trial has the same probability of success. The distribution is characterized by two parameters: the number of trials and the probability of success on each trial. The outcomes of a binomial distribution are binary, meaning they can only result in success or failure. Binomial distributions are commonly used in statistics to model various real-world scenarios, such as coin flips, medical trials, and quality control processes.

  • What are probability distributions?

    Probability distributions are mathematical functions that describe the likelihood of different outcomes or events. They can be used to model the uncertainty or randomness in a given situation, such as the likelihood of rolling a certain number on a die or the distribution of heights in a population. Probability distributions can be discrete, where the outcomes are distinct and separate, or continuous, where the outcomes can take any value within a certain range. Common examples of probability distributions include the normal distribution, binomial distribution, and uniform distribution.

  • What are skewness of distributions?

    Skewness is a measure of the asymmetry of a distribution. It indicates whether the data is concentrated more on one side of the mean than the other. A positively skewed distribution has a longer right tail, meaning that there are more extreme values on the right side of the distribution. Conversely, a negatively skewed distribution has a longer left tail, indicating more extreme values on the left side. Skewness is an important measure in statistics as it helps to understand the shape and behavior of a dataset.

  • Which Linux distributions are good?

    There are many good Linux distributions, each with its own strengths and target audience. Some popular choices include Ubuntu, which is known for its user-friendly interface and large community support; Fedora, which is known for its cutting-edge features and focus on open source software; and CentOS, which is known for its stability and use in server environments. Ultimately, the best distribution for you will depend on your specific needs and preferences.

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  • Creative Work and Distributions of Power
    Creative Work and Distributions of Power

    Creative Work and Distributions of Power is a journey toward an energized and expanded space for considering power in discussions of creative work. Starting with the participatory creativity framework, this book expertly guides readers through case studies of two very different examples of creative work: the 20th-century, groundbreaking systems theorist Gregory Bateson and the current musician/polymath Tyler, The Creator.Through skillfully interwoven narrative and theory, chapters provide readers with a deep understanding of the roles of power in the ways creativity emerges from complex social, material, and historical systems.Thoughtful metalogues featured throughout the book bring readers into the minds of the authors, illustrating the very processes being analyzed.The result is a model of the functions of creative work in mediating personal capacities and larger societal forces. This critical addition to the discourse around creativity and its practice is an ideal first step in understanding creative work and distributions of power for readers in creativity studies as well as sociology and psychology courses.

    Price: 135.00 £ | Shipping*: 0.00 £
  • Probability Distributions for Directional Data on Smooth Manifolds
    Probability Distributions for Directional Data on Smooth Manifolds

    This book provides a comprehensive and rigorous treatment of real-life scientific problems which encounter non-linear data.The authors first present methods for developing distributions on a circle.Then, they proceed to show how such methods are generalized for other manifolds.They also consider new methods peculiar to certain other manifolds, like disc and hyperdisc.The organization of the book develops the methods from the beginning for a simple manifold, letting the reader appreciate how these unfold and generalize to more complicated manifolds.Next, rather than separately treating one distribution at a time, the authors develop the generalizations of the methods of derivations.Finally, new distributions are presented as outcomes of these generalizations.The authors also provide several real-life examples, which not only attest to the ongoing usefulness, but will also help the reader visualize other modern day areas of the applications of these important distributions.

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  • Distributions of the Sensible : Ranciere, between Aesthetics and Politics
    Distributions of the Sensible : Ranciere, between Aesthetics and Politics

    Jacques Rancière’s work is increasingly central to several debates across the humanities.Distributions of the Sensible confronts a question at the heart of his thought: How should we conceive the relationship between the “politics of aesthetics” and the “aesthetics of politics”?Specifically, the book explores the implications of Rancière’s rethinking of the relationship of aesthetic to political democracy from a wide range of critical perspectives. Distributions of the Sensible contains original essays by leading scholars on topics such as Rancière’s relation to political theory, critical theory, philosophical aesthetics, and film.The book concludes with a new essay by Rancière himself that reconsiders the practice of theory between aesthetics and politics.

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  • Sport Funding and Finance : Second edition
    Sport Funding and Finance : Second edition

    Sport Funding and Finance provides a complete introduction to the macro-level and micro-level aspects of sport finance.It describes the evolution of sport from a kitchen-table operation into the sophisticated, boardroom-driven global financial industry that it is today.It uses the professional sports leagues of the US and Europe as an international benchmark, and explains why the financial context is so important for all managers working in sport.The book also provides a step-by-step introduction to the principles and practice of effective financial management, providing the reader with a complete set of professional tools and skills for use in the sport industry. Now in a fully revised and updated new edition, the book develops the reader’s understanding by first explaining basic concepts in finance and accounting before progressing to more complex issues and ideas.It covers every key topic in financial management, including:Planning and strategyBudgetingFinancial projectionsFundraisingPricingCostingFeasibility studiesEconomic impact analysisRatio analysisEvery chapter includes a blend of theory, contextual material and real-world data and case studies from around the world, clearly linking principles to practice, as well as review questions and problem-solving exercises to test the reader’s understanding.Sport Funding and Finance is the perfect foundation text for any degree-level course in sport finance, and an invaluable reference for any sport management professional looking to deepen their understanding of funding and finance.

    Price: 71.99 £ | Shipping*: 0.00 £
  • How do you calculate binomial distributions?

    To calculate binomial distributions, you need to know the probability of success (p), the number of trials (n), and the number of successes you are interested in (k). The formula to calculate the probability of getting exactly k successes in n trials is P(X = k) = (n choose k) * p^k * (1-p)^(n-k), where (n choose k) is the number of ways to choose k successes out of n trials. You can use this formula to calculate the probability of different numbers of successes in a binomial distribution.

  • What are examples of symmetric distributions?

    Some examples of symmetric distributions include the normal distribution, the uniform distribution, and the t-distribution with an even number of degrees of freedom. In these distributions, the shape of the probability density function is the same on both sides of the mean, resulting in a symmetrical appearance. This means that the probability of observing a value to the left or right of the mean is the same, making these distributions symmetric.

  • Which Linux distributions are suitable for programmers?

    Linux distributions that are popular among programmers include Ubuntu, Fedora, and Debian. These distributions come with a wide range of development tools and libraries pre-installed, making it easier for programmers to start coding without having to set up their development environment from scratch. Additionally, these distributions have strong community support, which can be helpful when seeking assistance or troubleshooting programming issues. Ultimately, the best Linux distribution for a programmer will depend on their specific needs and preferences.

  • What is the difference between Linux distributions?

    The main difference between Linux distributions lies in their package management systems, default software, and user interfaces. Each distribution has its own package manager, which is used to install, update, and remove software. Additionally, different distributions come with different default software and user interfaces, catering to different user preferences and needs. Some distributions are designed for stability and long-term support, while others prioritize bleeding-edge software and frequent updates. Overall, the choice of a Linux distribution depends on the user's specific requirements and technical expertise.

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