Models for Dependent Time Series, Tunnicliffe Wilson Granville, Reale Marco, Haywood John

Автор: Hamilton, James
Название: Time Series Analysis
ISBN: 0691042896 ISBN-13(EAN): 9780691042893
Издательство: Wiley
Рейтинг:
Цена: 73920.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A graduate-level text which describes the recent dramatic changes that have taken place in the way that researchers analyze economic and financial time series. It explores such important innovations as vector regression, nonlinear time series models and the generalized methods of moments.

Автор: Harvey, Andrew C.
Название: Forecasting, structural time series models and the kalman filter
ISBN: 0521405734 ISBN-13(EAN): 9780521405737
Издательство: Cambridge Academ
Рейтинг:
Цена: 40120.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is concerned with modelling economic and social time series and with addressing the special problems which the treatment of such series pose. It is unique in its use of Kalman filtering with econometric and time series modelling.

Автор: Wilson Jeffrey R., Vazquez-Arreola Elsa, Chen (din) Ding-Geng
Название: Marginal Models in Analysis of Correlated Binary Data with Time Dependent Covariates
ISBN: 3030489035 ISBN-13(EAN): 9783030489038
Издательство: Springer
Рейтинг:
Цена: 46570.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This monograph provides a concise point of research topics and reference for modeling correlated response data with time-dependent covariates, and longitudinal data for the analysis of population-averaged models, highlighting methods by a variety of pioneering scholars.

Автор: Barber
Название: Bayesian Time Series Models
ISBN: 0521196760 ISBN-13(EAN): 9780521196765
Издательство: Cambridge Academ
Рейтинг:
Цена: 117210.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: `What`s going to happen next?` Time series data hold the answers. This ambitious book is the first unified treatment of the emerging knowledge-base in Bayesian time series techniques. Readers with only a basic understanding of applied probability are guided from fundamental concepts to the state-of-the-art in research and practice.

Автор: Harvey, A.c.
Название: Forecasting, structural time series models, and the kalman filter
ISBN: 0521321964 ISBN-13(EAN): 9780521321969
Издательство: Cambridge Academ
Рейтинг:
Цена: 142560.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is concerned with modelling economic and social time series and with addressing the special problems which the treatment of such series pose. It is unique in its use of Kalman filtering with econometric and time series modelling.

Автор: Zucchini
Название: Hidden Markov Models for Time Series
ISBN: 1482253836 ISBN-13(EAN): 9781482253832
Издательство: Taylor&Francis
Рейтинг:
Цена: 93910.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Hidden Markov Models (HMMs) remains a vibrant area of research in statistics, with many new applications appearing since publication of the first edition.

Автор: H. Tong
Название: Threshold Models in Non-linear Time Series Analysis
ISBN: 0387909184 ISBN-13(EAN): 9780387909189
Издательство: Springer
Рейтинг:
Цена: 111790.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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.

Автор: Gy?rgy Terdik
Название: Bilinear Stochastic Models and Related Problems of Nonlinear Time Series Analysis
ISBN: 0387988726 ISBN-13(EAN): 9780387988726
Издательство: Springer
Рейтинг:
Цена: 97820.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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.

Название: Time Series Models
ISBN: 0367401320 ISBN-13(EAN): 9780367401320
Издательство: Taylor&Francis
Рейтинг:
Цена: 65320.00 T
Наличие на складе: Нет в наличии.
Описание: The five papers in this book describe recent developments in the analysis, prediction, and interpolation of economic time series from various viewpoints. Topics include time series models for volatility, the nature of prediction errors, a biometrical perspective on the analysis of short time series, and the study of option pricing.

Автор: Sun Li-Hsien, Huang Xin-Wei, Alqawba Mohammed S.
Название: Copula-Based Markov Models for Time Series: Parametric Inference and Process Control
ISBN: 9811549974 ISBN-13(EAN): 9789811549977
Издательство: Springer
Рейтинг:
Цена: 55890.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides statistical methodologies for time series data, focusing on copula-based Markov chain models for serially correlated time series.

Автор: Frantisek Stulajter
Название: Predictions in Time Series Using Regression Models
ISBN: 1441929657 ISBN-13(EAN): 9781441929655
Издательство: Springer
Рейтинг:
Цена: 102480.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book will interest and assist people who are dealing with the problems of predictions of time series in higher education and research. It will greatly assist people who apply time series theory to practical problems in their work and also serve as a textbook for postgraduate students in statistics economics and related subjects.

Автор: Doukhan, Paul
Название: Stochastic models for time series
ISBN: 3319769375 ISBN-13(EAN): 9783319769370
Издательство: Springer
Рейтинг:
Цена: 79190.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents essential tools for modelling non-linear time series.