Cambridge Series in Statistical and Probabilistic Mathematic, Wainwright Martin J
Автор: Joshi, Mark S. Название: Concepts and practice of mathematical finance ISBN: 0521514088 ISBN-13(EAN): 9780521514088 Издательство: Cambridge Academ Рейтинг: Цена: 70740.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The second edition of a successful text providing the working knowledge needed to become a good quantitative analyst. An ideal introduction to mathematical finance, readers will gain a clear understanding of the intuition behind derivatives pricing, how models are implemented, and how they are used and adapted in practice.
Автор: Spokoiny Vladimir, Dickhaus Thorsten Название: Basics of moderm mathematical Statistics ISBN: 366251348X ISBN-13(EAN): 9783662513484 Издательство: Springer Рейтинг: Цена: 52170.00 T Наличие на складе: Есть Описание: The present book provides a fully self-contained introduction to the world of modern mathematical statistics, collecting the basic knowledge, concepts and findings needed for doing further research in the modern theoretical and applied statistics.
Автор: Krylov Название: Introduction To The Theory Of Random Processes (Graduate Studies In Mathematics) ISBN: 0821829858 ISBN-13(EAN): 9780821829851 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 36790.00 T Наличие на складе: Невозможна поставка. Описание: Discusses the theory of stochastic processes. This book presents basics of discrete time martingales. It includes such topics as Wiener process, stationary processes, infinitely divisible processes, and Ito stochastic equations.
Название: Eigenvalue Distributionof Large Random Matrices, Mathematical Surveys and Monographs L. Pastur, M. Shcherbina ISBN: 082185285X ISBN-13(EAN): 9780821852859 Издательство: Неизвестно Рейтинг: Цена: 189840.00 T Наличие на складе: Невозможна поставка. Описание: Explores the basic theory of quantum bounded symmetric domains. The area became active in the late 1990s at a junction of noncommutative complex analysis and extensively developing theory of quantum groups. In a surprising advance of the theory of quantum bounded symmetric domains, it turned out that many classical problems admit elegant quantum analogs. Some of those are expounded in the book.
Автор: Hiroaki Morimoto Название: Stochastic Control and Mathematical Modeling Applications in Economics ISBN: 0521195039 ISBN-13(EAN): 9780521195034 Издательство: Cambridge Academ Рейтинг: Цена: 135170.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This concise and elementary introduction to stochastic control and mathematical modelling is designed for researchers in stochastic control theory studying its application in mathematical economics, and for interested economics researchers. Also suitable for graduate students in applied mathematics, mathematical economics, and non-linear PDE theory.
Автор: Marco Corazza; Cira Perna; Marilena Sibillo; Flore Название: Mathematical and Statistical Methods for Actuarial Sciences and Finance ISBN: 3319502336 ISBN-13(EAN): 9783319502335 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This volume gathers selected peer-reviewed papers presented at the "International MAF Conference 2016 - Mathematical and Statistical Methods for Actuarial Sciences and Finance" held in Paris at the University of Paris-Dauphine from March 30 to April 1, 2016.
Автор: Straub Название: Non-Life Insurance Mathematics ISBN: 3540187871 ISBN-13(EAN): 9783540187875 Издательство: Springer Рейтинг: Цена: 62380.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The book gives a comprehensive overview of modern non-life actuarial science. It starts with a verbal description (i.e. without using mathematical formulae) of
the main actuarial problems to be solved in non-life practice.
Then in an extensive second chapter all the mathematical tools needed to solve these problems are dealt with -
now in mathematical notation. The rest of the book is devoted to the exact formulation of various problems and their possible solutions. Being a good mixture of practical problems and
their actuarial solutions, the book addresses above all two types of readers: firstly students (of mathematics, probability and statistics, informatics, economics) having some mathematical
knowledge, and secondly insurance practitioners who remember mathematics only from some distance.
Prerequisites are basic calculus and probability theory.
Автор: Keyfitz Название: Applied Mathematical Demography ISBN: 0387225374 ISBN-13(EAN): 9780387225371 Издательство: Springer Рейтинг: Цена: 102480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Focuses on applications of demographic models, extending to matrix models for stage-classified populations. This book introduces the life table to describe age-specific mortality, and develops theory for stable populations and the rate of population increase. It also introduces reproductive value and the stable equivalent population.
Автор: Galimkair Mutanov Название: Mathematical Methods and Models in Economic Planning, Management and Budgeting ISBN: 3662451417 ISBN-13(EAN): 9783662451410 Издательство: Springer Рейтинг: Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book describes a system of mathematical models and methods that can be used to analyze real economic and managerial decisions and to improve their effectiveness.
Автор: Joshi Название: Introduction to Mathematical Portfolio Theory ISBN: 1107042313 ISBN-13(EAN): 9781107042315 Издательство: Cambridge Academ Рейтинг: Цена: 60190.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: A concise yet comprehensive guide to the mathematics of portfolio theory from a modelling perspective, with discussion of the assumptions, limitations and implementations of the models as well as the theory underlying them. Aimed at advanced undergraduates, this book can be used for self-study or as a course text.
Автор: Vershynin, Roman (university Of Michigan, Ann Arbor) Название: Cambridge series in statistical and probabilistic mathematics ISBN: 1108415199 ISBN-13(EAN): 9781108415194 Издательство: Cambridge Academ Рейтинг: Цена: 60190.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The data sciences are moving fast, and probabilistic methods are both the foundation and a driver. This highly motivated text brings beginners up to speed quickly and provides working data scientists with powerful new tools. Ideal for a basic second course in probability with a view to data science applications, it is also suitable for self-study.
Finance and insurance companies are facing a wide range of parametric statistical problems. Statistical experiments generated by a sample of independent and identically distributed random variables are frequent and well understood, especially those consisting of probability measures of an exponential type. However, the aforementioned applications also offer non-classical experiments implying observation samples of independent but not identically distributed random variables or even dependent random variables.
Three examples of such experiments are treated in this book. First, the Generalized Linear Models are studied. They extend the standard regression model to non-Gaussian distributions. Statistical experiments with Markov chains are considered next. Finally, various statistical experiments generated by fractional Gaussian noise are also described.
In this book, asymptotic properties of several sequences of estimators are detailed. The notion of asymptotical efficiency is discussed for the different statistical experiments considered in order to give the proper sense of estimation risk. Eighty examples and computations with R software are given throughout the text.
Examines a range of statistical inference methods in the context of finance and insurance applications
Presents the LAN (local asymptotic normality) property of likelihoods
Combines the proofs of LAN property for different statistical experiments that appears in financial and insurance mathematics
Provides the proper description of such statistical experiments and invites readers to seek optimal estimators (performed in R) for such statistical experiments
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