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An Introduction to Copulas, Nelsen


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Цена: 22359.00р.
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Автор: Nelsen
Название:  An Introduction to Copulas
Перевод названия: Связки
ISBN: 9780387286594
Издательство: Springer
Классификация:

ISBN-10: 0387286594
Обложка/Формат: Hardback
Страницы: 284
Вес: 0.58 кг.
Дата издания: 25.10.2007
Язык: English
Размер: 262 x 167 x 22
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание: Copulas are functions that join multivariate distribution functions to their one-dimensional margins. The study of copulas and their role in statistics is a new but vigorously growing field. In this book the student or practitioner of statistics and probability will find discussions of the fundamental properties of copulas and some of their primary applications. The applications include the study of dependence and measures of association, and the construction of families of bivariate distributions.With nearly a hundred examples and over 150 exercises, this book is suitable as a text or for self-study. The only prerequisite is an upper level undergraduate course in probability and mathematical statistics, although some familiarity with nonparametric statistics would be useful. Knowledge of measure-theoretic probability is not required.Roger B. Nelsen is Professor of Mathematics at Lewis & Clark College in Portland, Oregon. He is also the author of Proofs Without Words: Exercises in Visual Thinking, published by the Mathematical Association of America.
Дополнительное описание: Main Subject: Statistics
Edition: 2nd ed. 2006. Corr. 2nd. printing
Bibliography: XIV, 270 p.
Subject1: S11001 Statistical Theory and Methods
Subject2: S13004 Statistics for Business/Economics/Mathematical Finance/Insurance
Publication




An Introduction to Multivariate Statistical Analysis, Third Edition

Автор: T. W. Anderson
Название: An Introduction to Multivariate Statistical Analysis, Third Edition
ISBN: 0471360910 ISBN-13(EAN): 9780471360919
Издательство: Wiley
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Цена: 27712.00 р.
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Описание: Uses the method of maximum likelihood to a large extent to ensure reasonable, and in some cases optimal procedures. This work treats the basic and important topics in multivariate statistics.

Dependence Modeling: Vine Copula Handbook

Автор: Kurowicka Dorota Et Al
Название: Dependence Modeling: Vine Copula Handbook
ISBN: 9814299871 ISBN-13(EAN): 9789814299879
Издательство: World Scientific Publishing
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Цена: 20592.00 р.
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Описание: Research and applications in vines have been growing rapidly. This book traces historical developments, standardizing notation and terminology. It summarizes results on bivariate copulae and results for regular vines. It gives an overview of its applications.

Introduction to Stochastic Integration

Автор: Kuo
Название: Introduction to Stochastic Integration
ISBN: 0387287205 ISBN-13(EAN): 9780387287201
Издательство: Springer
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Цена: 6986.00 р.
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Описание: Also called Ito calculus, the theory of stochastic integration has applications in virtually every scientific area involving random functions. This introductory textbook provides a concise introduction to the Ito calculus. From the reviews:"Introduction to Stochastic Integration is exactly what the title says.

The Finite Volume Method in Computational Fluid Dynamics : An Advanced Introduction with OpenFOAM and MATLAB

Автор: Darwish, M. Mangani, L. Moukalled, F.
Название: The Finite Volume Method in Computational Fluid Dynamics : An Advanced Introduction with OpenFOAM and MATLAB
ISBN: 3319168738 ISBN-13(EAN): 9783319168739
Издательство: Springer
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Цена: 15372.00 р.
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Описание: The Finite Volume Method in Computational Fluid Dynamics

Statistics: An Introduction using R

Автор: Michael J. Crawley
Название: Statistics: An Introduction using R
ISBN: 0470022981 ISBN-13(EAN): 9780470022986
Издательство: Wiley
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Цена: 4744.00 р.
Наличие на складе: Поставка под заказ.

Описание: Computer software is an essential tool for many statistical modelling and data analysis techniques, aiding in the implementation of large data sets in order to obtain useful results. R is one of the most powerful and flexible statistical software packages available, and enables the user to apply a wide variety of statistical methods ranging from simple regression to generalized linear modelling. Statistics: An Introduction using R is a clear and concise introductory textbook to statistical analysis using this powerful and free software, and follows on from the success of the author's previous best-selling title Statistical Computing.
*Features step-by-step instructions that assume no mathematics, statistics or programming background, helping the non-statistician to fully understand the methodology.
*Uses a series of realistic examples, developing step-wise from the simplest cases, with the emphasis on checking the assumptions (e.g. constancy of variance and normality of errors) and the adequacy of the model chosen to fit the data.
*The emphasis throughout is on estimation of effect sizes and confidence intervals, rather than on hypothesis testing.
*Covers the full range of statistical techniques likely to be need to analyse the data from research projects, including elementary material like t-tests and chi-squared tests, intermediate methods like regression and analysis of variance, and more advanced techniques like generalized linear modelling.
*Includes numerous worked examples and exercises within each chapter.
Statistics: An Introduction using R is the first text to offer such a concise introduction to a broad array of statistical methods, at a level that is elementary enough to appeal to a broad range of disciplines. It is primarily aimed at undergraduate students in medicine, engineering, economics and biology but will also appeal to postgraduates who have not previously covered this area, or wish to switch to using R.

Generalized Additive Models: An Introduction with R

Автор: Wood, Simon
Название: Generalized Additive Models: An Introduction with R
ISBN: 1584884746 ISBN-13(EAN): 9781584884743
Издательство: Taylor&Francis
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Цена: 10717.00 р.
Наличие на складе: Поставка под заказ.

Описание: An Introduction to Generalized Additive Models with R provides readers with a thorough understanding of the theory and practical applications of GAMs to enable informed use of these very flexible tools and other advanced related models. The author's approach is based on a framework of penalized regression splines, and he provides a gentle introduction through motivating chapters on linear and generalized linear models. The author uses the freely available R software throughout to explain the underlying theory and illustrate the practicalities of linear, generalized linear, and generalized additive models. The text is accompanied by a supporting Web site that contains R code and the datasets used in the book.

Introduction to Applied Nonlinear Dynamical Systems and Chaos

Автор: Wiggins
Название: Introduction to Applied Nonlinear Dynamical Systems and Chaos
ISBN: 0387001778 ISBN-13(EAN): 9780387001777
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This volume is intended for advanced undergraduate or first-year graduate students as an introduction to applied nonlinear dynamics and chaos. The author has placed emphasis on teaching the techniques and ideas that will enable students to take specific dynamical systems and obtain some quantitative information about the behavior of these systems. He has included the basic core material that is necessary for higher levels of study and research. Thus, people who do not necessarily have an extensive mathematical background, such as students in engineering, physics, chemistry, and biology, will find this text as useful as students of mathematics. This new edition contains extensive new material on invariant manifold theory and normal forms (in particular, Hamiltonian normal forms and the role of symmetry). Lagrangian, Hamiltonian, gradient, and reversible dynamical systems are also discussed. Elementary Hamiltonian bifurcations are covered, as well as the basic properties of circle maps. The book contains an extensive bibliography as well as a detailed glossary of terms, making it a comprehensive book on applied nonlinear dynamical systems from a geometrical and analytical point of view.

Introduction to Physical Modeling with Modelica

Автор: Tiller
Название: Introduction to Physical Modeling with Modelica
ISBN: 0792373677 ISBN-13(EAN): 9780792373674
Издательство: Springer
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Цена: 12850.00 р.
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Описание: This title describes "Modelica", a modelling language that can be used to simulate both continuous and discrete behaviour, It provides the necessary background to develop Modelica models of almost any physical system. The author starts with basic differential equations from several engineering domains and describes how these equations can be used to create reusable component models. Next, he describes techniques for modelling complex non-linear behaviour, exploiting the powerful array handling features and mixing continuous and discrete behaviour.

The second part of the book focuses on effective use of all the language features provided by the Modelica modelling language. This includes, among other things, discussions on maximizing the reusability of component models being developed, managing the model development process, and making models as computationally efficient as possible. The book includes a companion CD-ROM with the Modelica source code for all examples as well as an evaluation copy of Dymola.

Using Dymola, readers can immediately begin to explore the dynamics of the models included with the book or to develop their own models. Nearly 100 examples of mechanical, electrical, biological, chemical, thermal and hydraulic models are included.

Introduction to Spatial Econometrics

Название: Introduction to Spatial Econometrics
ISBN: 142006424X ISBN-13(EAN): 9781420064247
Издательство: Taylor&Francis
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Цена: 17609.00 р.
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Описание: Presents a variety of regression methods used to analyze spatial data samples that violate the traditional assumption of independence between observations. This title explores a range of alternative topics, including maximum likelihood and Bayesian estimation and applied modeling situations involving different circumstances.

An Introduction to Partial Differential Equations

Автор: Renardy Michael, Rogers Robert C.
Название: An Introduction to Partial Differential Equations
ISBN: 0387004440 ISBN-13(EAN): 9780387004440
Издательство: Springer
Рейтинг:
Цена: 10335.00 р.
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Описание: Partial differential equations are fundamental to the modeling of natural phenomena. Like algebra, topology, and rational mechanics, partial differential equations are a core area of mathematics. This book aims to provide the background to initiate work on a PhD thesis in PDEs for beginning graduate students.

An Introduction to the Mathematics of Financial Derivatives,

Автор: Ali Hirsa
Название: An Introduction to the Mathematics of Financial Derivatives,
ISBN: 012384682X ISBN-13(EAN): 9780123846822
Издательство: Elsevier Science
Рейтинг:
Цена: 13304.00 р.
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Описание: A text that eases the transition between basic summaries of financial engineering to more advanced treatments using stochastic calculus. Requiring a basic knowledge of calculus and probability, it takes readers on a tour of advanced financial engineering. It encourages use of discrete chapters as complementary readings on different topics.

Financial Engineering with Copulas Explained

Автор: Mai Jan-Frederik
Название: Financial Engineering with Copulas Explained
ISBN: 1137346302 ISBN-13(EAN): 9781137346308
Издательство: Springer
Рейтинг:
Цена: 4191.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This is a succinct guide to the application and modelling of dependence models or copulas in the financial markets. First applied to credit risk modelling, copulas are now widely used across a range of derivatives transactions, asset pricing techniques and risk models and are a core part of the financial engineer`s toolkit.


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