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Time Series Models, Deistler


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Цена: 12577.00р.
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Автор: Deistler
Название:  Time Series Models
ISBN: 9783031132124
Издательство: Springer
Классификация:




ISBN-10: 3031132122
Обложка/Формат: Soft cover
Страницы: 201
Вес: 0.34 кг.
Дата издания: 05.11.2022
Серия: Lecture Notes in Statistics
Язык: English
Издание: 1st ed. 2022
Иллюстрации: 10 illustrations, color; 3 illustrations, black and white; xiv, 201 p. 13 illus., 10 illus. in color.
Размер: 235 x 155
Читательская аудитория: Professional & vocational
Основная тема: Statistics
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This textbook provides a self-contained presentation of the theory and models of time series analysis. Putting an emphasis on weakly stationary processes and linear dynamic models, it describes the basic concepts, ideas, methods and results in a mathematically well-founded form and includes numerous examples and exercises. The first part presents the theory of weakly stationary processes in time and frequency domain, including prediction and filtering. The second part deals with multivariate AR, ARMA and state space models, which are the most important model classes for stationary processes, and addresses the structure of AR, ARMA and state space systems, Yule-Walker equations, factorization of rational spectral densities and Kalman filtering. Finally, there is a discussion of Granger causality, linear dynamic factor models and (G)ARCH models. The book provides a solid basis for advanced mathematics students and researchers in fields such as data-driven modeling, forecasting and filtering, which are important in statistics, control engineering, financial mathematics, econometrics and signal processing, among other subjects.
Дополнительное описание: Preface.- 1 Time Series and Stationary Processes.- 2 Prediction.- 3 Spectral Representation.- 4 Filter.- 5 Autoregressive Processes.- 6 ARMA Systems and ARMA Processes.- 7 State-Space Systems.- 8 Models with Exogenous Variables.- 9 Granger Causality.- 10



Threshold Models in Non-linear Time Series Analysis

Автор: H. Tong
Название: Threshold Models in Non-linear Time Series Analysis
ISBN: 0387909184 ISBN-13(EAN): 9780387909189
Издательство: Springer
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Цена: 16769.00 р.
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Описание: In the last two years or so, I was most fortunate in being given opportunities of lecturing on a new methodology to a variety of audiences in Britain, China, Finland, France and Spain.

Книга  "Periodic Time Series Models " на английском языке/ Авторы P. Franses and R. Paap

Название: Книга "Periodic Time Series Models " на английском языке/ Авторы P. Franses and R. Paap
ISBN: 0199242038 ISBN-13(EAN): 9780199242030
Издательство: Oxford Academ
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Цена: 9504.00 р.
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Описание: An insightful and up-to-date study of the use of periodic models in the description and forecasting of economic data. Incorporating recent developments in the field, the authors investigate such areas as seasonal time series; periodic time series models; periodic integration; and periodic cointegration. The analysis benefits from the inclusion of many new empirical examples and results.

Non-linear time series models in empirical finance

Автор: Philip Hans Franses
Название: Non-linear time series models in empirical finance
ISBN: 0521779650 ISBN-13(EAN): 9780521779654
Издательство: Cambridge Academ
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Цена: 8237.00 р.
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Описание: An accessible guide to one of the fastest growing areas in financial analysis by one of Europes`s leading teaching and researching teams, first published in 2000. This classroom-tested advanced undergraduate and graduate textbook provides an in-depth treatment of non-linear models, including regime-switching and artificial neural networks.

Stochastic Models for Structured Populations

Автор: Meleard Sylvie
Название: Stochastic Models for Structured Populations
ISBN: 3319217100 ISBN-13(EAN): 9783319217109
Издательство: Springer
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Цена: 5589.00 р.
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Описание: Stochastic Models for Structured Populations

Discrete-Time Models for Communication Systems Including ATM

Автор: Herwig Bruneel; Byung G. Kim
Название: Discrete-Time Models for Communication Systems Including ATM
ISBN: 1461363705 ISBN-13(EAN): 9781461363705
Издательство: Springer
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Цена: 19591.00 р.
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Описание: Discrete-Time Models for Communication Systems Including ATM provides a general framework for queueing analyses of dicrete-time systems.

Bayesian Hierarchical Space-Time Models with Application to Significant Wave Height

Автор: Erik Vanem; Elzbieta Maria Bitner-Gregersen; Chris
Название: Bayesian Hierarchical Space-Time Models with Application to Significant Wave Height
ISBN: 3662521970 ISBN-13(EAN): 9783662521977
Издательство: Springer
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Цена: 13275.00 р.
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Описание: This book provides an example of a thorough statistical treatment of ocean wave data in space and time. Furthermore, the book addresses the question of whether climate change has an effect of the ocean wave climate, and if so what that effect might be.

A Time Series Approach to Option Pricing

Автор: Christophe Chorro; Dominique Gu?gan; Florian Ielpo
Название: A Time Series Approach to Option Pricing
ISBN: 3662522403 ISBN-13(EAN): 9783662522400
Издательство: Springer
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Цена: 11179.00 р.
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Описание: The Black Scholes framework is introduced and by underlining its shortcomings, an alternative approach is presented that has emerged over the past ten years of academic research, an approach that is much more grounded on a realistic statistical analysis of data rather than on ad hoc tractable continuous time option pricing models.

A Time Series Approach to Option Pricing

Автор: Christophe Chorro; Dominique Gu?gan; Florian Ielpo
Название: A Time Series Approach to Option Pricing
ISBN: 3662450364 ISBN-13(EAN): 9783662450369
Издательство: Springer
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Цена: 13974.00 р.
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Описание: The Black Scholes framework is introduced and by underlining its shortcomings, an alternative approach is presented that has emerged over the past ten years of academic research, an approach that is much more grounded on a realistic statistical analysis of data rather than on ad hoc tractable continuous time option pricing models.

An Introduction to Bispectral Analysis and Bilinear Time Series Models

Автор: T.S. Rao; M.M. Gabr
Название: An Introduction to Bispectral Analysis and Bilinear Time Series Models
ISBN: 0387960392 ISBN-13(EAN): 9780387960395
Издательство: Springer
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Цена: 16769.00 р.
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Описание: The theory of time series models has been well developed over the last thirt,y years. The most interesting feature of such a model is that its second order covariance analysis is ve~ similar to that for a linear model. This demonstrates the importance of higher order covariance analysis for nonlinear models.

Continuous-Time Models in Corporate Finance: A User`s Guide

Автор: Moreno-Bromberg Santiago, Rochet Jean-Charles
Название: Continuous-Time Models in Corporate Finance: A User`s Guide
ISBN: 0691176523 ISBN-13(EAN): 9780691176529
Издательство: Wiley
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Цена: 7128.00 р.
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Описание:

Continuous-Time Models in Corporate Finance synthesizes four decades of research to show how stochastic calculus can be used in corporate finance. Combining mathematical rigor with economic intuition, Santiago Moreno-Bromberg and Jean-Charles Rochet analyze corporate decisions such as dividend distribution, the issuance of securities, and capital structure and default. They pay particular attention to financial intermediaries, including banks and insurance companies.

The authors begin by recalling the ways that option-pricing techniques can be employed for the pricing of corporate debt and equity. They then present the dynamic model of the trade-off between taxes and bankruptcy costs and derive implications for optimal capital structure. The core chapter introduces the workhorse liquidity-management model--where liquidity and risk management decisions are made in order to minimize the costs of external finance. This model is used to study corporate finance decisions and specific features of banks and insurance companies. The book concludes by presenting the dynamic agency model, where financial frictions stem from the lack of interest alignment between a firm's manager and its financiers. The appendix contains an overview of the main mathematical tools used throughout the book.

Requiring some familiarity with stochastic calculus methods, Continuous-Time Models in Corporate Finance will be useful for students, researchers, and professionals who want to develop dynamic models of firms' financial decisions.

Bilinear Stochastic Models and Related Problems of Nonlinear Time Series Analysis

Автор: Gy?rgy Terdik
Название: Bilinear Stochastic Models and Related Problems of Nonlinear Time Series Analysis
ISBN: 0387988726 ISBN-13(EAN): 9780387988726
Издательство: Springer
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Цена: 14673.00 р.
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Описание: The first two chapters are devoted to the basic theory of nonlinear functions of stationary Gaussian processes, Hermite polynomials, cumulants and higher order spectra, multiple Wiener-Ito integrals and finally chaotic Wiener-Ito spectral representation of subordinated processes.

Stochastic Space—Time Models and Limit Theorems

Автор: L. Arnold; P. Kotelenez
Название: Stochastic Space—Time Models and Limit Theorems
ISBN: 902772038X ISBN-13(EAN): 9789027720382
Издательство: Springer
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Цена: 13275.00 р.
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Описание: Approach your problems from It isn't that they can't see the right end and begin with the solution. the answers. Then one day, It is that they can't see the perhaps you will find the problem. final question. G.K. Chesterton. The Scandal 'The Hermit Clad 1n Crane of Father Brown 'The Point of Feathers' in R. van Gulik's a Pin'. The Chinese Maze Murders. Growing specialisation and diversification have brought a host of monographs and textbooks on increasingly specialized topics. However, the "tree" of knowledge of mathematics and related fields does not grow only by putting forth new branches. It also happens, quite often in fact, that branches wich were thought to be completely disparate are suddenly seen to be related. Further, the kind and level of sophistication of mathematics applied in various sciences has changed drastically in recent years: measure theory is used (non-trivially) in regional and theoretical economics; algebraic geometry interacts with physics; the Minkowsky lemma, coding theory and the structure of water meet one another in packing and covering theory; quantum fields, crystal defects and mathematical programming profit from homotopy theory; Lie algebras are relevant to filtering; and prediction and electrical engineering can use Stein spaces. And in addition to this there are such new emerging subdisciplines as "experimental mathematics", "CFD", "completely integrable systems", "chaos, synergetics and large-scale order", which are almost impossible to fit into the existing classification schemes. They draw upon widely different sections of mathematics.


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