Автор: V. Seshadri Название: The Inverse Gaussian Distribution ISBN: 0387986189 ISBN-13(EAN): 9780387986180 Издательство: Springer Рейтинг: Цена: 97820.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book will appeal to probabilists and mathematical statisticians interested in the inverse Gaussian distribution. It will also be of value to those wishing to use the distibution in a particular subject matter. It provides a broad, up-to-date coverage of topics, an in- depth description of many examples, and a very large bibliography.
Автор: Balakrishnan, N. , Chen, William Название: CRC Handbook of Tables for Order Statistics from Inverse Gaussian Distributions with Applications ISBN: 0367448157 ISBN-13(EAN): 9780367448158 Издательство: Taylor&Francis Рейтинг: Цена: 63280.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents a study of order statistics from standard Inverse Gaussian distributions and their moments, and applies the moments of order statistics to derive the best linear unbiased estimators of the location and scale parameters based on complete as well as Type-II censored samples.
Автор: Malinovskii Vsevolod K. Название: Level-Crossing Problems and Inverse Gaussian Distributions: Closed-Form Results and Approximations ISBN: 036774029X ISBN-13(EAN): 9780367740290 Издательство: Taylor&Francis Рейтинг: Цена: 183750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book focusses on inverse Gaussian approximation for the distribution of the first level-crossing time in a shifted compound renewal process framework.
Автор: Vladimir I. Piterbarg Название: Asymptotic Methods in the Theory of Gaussian Processes and Fields ISBN: 0821883313 ISBN-13(EAN): 9780821883310 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 75770.00 T Наличие на складе: Невозможна поставка. Описание: This book is devoted to a systematic analysis of asymptotic behavior of distributions of various typical functionals of Gaussian random variables and fields. The text begins with an extended introduction, which explains fundamental ideas and sketches the basic methods fully presented later in the book. Good approximate formulas and sharp estimates of the remainders are obtained for a large class of Gaussian and similar processes. The author devotes special attention to the development of asymptotic analysis methods, emphasizing the method of comparison, the double-sum method and the method of moments. The author has added an extended introduction and has significantly revised the text for this translation, particularly the material on the double-sum method.
Автор: Jondeau Eric Название: Financial Modeling Under Non-Gaussian Distributions ISBN: 1849965994 ISBN-13(EAN): 9781849965996 Издательство: Springer Цена: 83850.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Practitioners and researchers who have handled financial market data know that asset returns do not behave according to the bell-shaped curve, associated with the Gaussian or normal distribution. Indeed, the use of Gaussian models when the asset return distributions are not normal could lead to a wrong choice of portfolio, the underestimation of extreme losses or mispriced derivative products. Consequently, non-Gaussian models and models based on processes with jumps, are gaining popularity among financial market practitioners.
Non-Gaussian distributions are the key theme of this book which addresses the causes and consequences of non-normality and time dependency in both asset returns and option prices. One of the main aims is to bridge the gap between the theoretical developments and the practical implementations of what many users and researchers perceive as "sophisticated" models or black boxes. The book is written for non-mathematicians who want to model financial market prices so the emphasis throughout is on practice. There are abundant empirical illustrations of the models and techniques described, many of which could be equally applied to other financial time series, such as exchange and interest rates.
The authors have taken care to make the material accessible to anyone with a basic knowledge of statistics, calculus and probability, while at the same time preserving the mathematical rigor and complexity of the original models.
This book will be an essential reference for practitioners in the finance industry, especially those responsible for managing portfolios and monitoring financial risk, but it will also be useful for mathematicians who want to know more about how their mathematical tools are applied in finance, and as a text for advanced courses in empirical finance; financial econometrics and financial derivatives.
Автор: Merlevede, Florence (professor, Universite Paris-est Marne-la-vallee) Peligrad, Magda (professor, University Of Cincinnati) Utev, Sergey (university O Название: Functional gaussian approximation for dependent structures ISBN: 019882694X ISBN-13(EAN): 9780198826941 Издательство: Oxford Academ Рейтинг: Цена: 118800.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book has its origin in the need of developing and analysing mathematical models for phenomena that evolve in time and influence each another, and aims at a better understanding of the structure and asymptotic behaviour of stochastic processes.
Автор: A.B. Aries; I.A. Ibragimov; Y.A. Rozanov Название: Gaussian Random Processes ISBN: 038790302X ISBN-13(EAN): 9780387903026 Издательство: Springer Рейтинг: Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The book deals mainly with three problems involving Gaussian stationary processes. The second problem mentioned above is closely related with problems involving ergodic theory of Gaussian dynamic systems as well as prediction theory of stationary processes.
Автор: Jamie D. Riggs Название: Handbook for Applied Modeling: Non-Gaussian and Correlated Data ISBN: 1316601056 ISBN-13(EAN): 9781316601051 Издательство: Cambridge Academ Рейтинг: Цена: 40130.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Designed for the applied practitioner, this book is a compact, entry-level guide to modeling and analyzing data that fail idealized assumptions. It explains and demonstrates core techniques, common pitfalls and data issues, and interpretation of model results, all with a focus on application, utility, and real-life data.
Автор: Marcus Michael B., Rosen Jay Название: Asymptotic Properties of Permanental Sequences: Related to Birth and Death Processes and Autoregressive Gaussian Sequences ISBN: 3030694844 ISBN-13(EAN): 9783030694845 Издательство: Springer Цена: 65210.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This SpringerBriefs employs a novel approach to obtain the precise asymptotic behavior at infinity of a large class of permanental sequences related to birth and death processes and autoregressive Gaussian sequences using techniques from the theory of Gaussian processes and Markov chains.
Автор: Mandjes, Michel Название: Large deviations for gaussian queues ISBN: 0470015233 ISBN-13(EAN): 9780470015230 Издательство: Wiley Рейтинг: Цена: 119270.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Demonstrates how the Gaussian traffic model arises naturally, and how the analysis of the corresponding queuing model can be performed. This text provides an introduction to Gaussian queues, and surveys research into the modelling of communications networks. It is useful for postgraduate students in applied probability, and operations research.
Автор: Balakrishna N. Название: Non-Gaussian Autoregressive-Type Time Series ISBN: 9811681619 ISBN-13(EAN): 9789811681615 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book classifies the stationary time-series models into different groups such as linear stationary models with non-Gaussian innovations, linear stationary models with non-Gaussian marginal distributions, product autoregressive models and minification models.
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