Nonlinear Filters, Hisashi Tanizaki

Автор: Fan Jianqing, Yao Qiwei
Название: Nonlinear Time Series / Nonparametric and Parametric Methods
ISBN: 0387261427 ISBN-13(EAN): 9780387261423
Издательство: Springer
Рейтинг:
Цена: 15372.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book presents the contemporary statistical methods and theory of nonlinear time series analysis. The principal focus is on nonparametric and semiparametric techniques developed in the last decade. It covers the techniques for modelling in state-space, in frequency-domain as well as in time-domain. To reflect the integration of parametric and nonparametric methods in analyzing time series data, the book also presents an up-to-date exposure of some parametric nonlinear models, including ARCH/GARCH models and threshold models. A compact view on linear ARMA models is also provided. Data arising in real applications are used throughout to show how nonparametric approaches may help to reveal local structure in high-dimensional data. Important technical tools are also introduced. The book will be useful for graduate students, application-oriented time series analysts, and new and experienced researchers. It will have the value both within the statistical community and across a broad spectrum of other fields such as econometrics, empirical finance, population biology and ecology. The prerequisites are basic courses in probability and statistics. Jianqing Fan, coauthor of the highly regarded book Local Polynomial Modeling, is Professor of Statistics at the University of North Carolina at Chapel Hill and the Chinese University of Hong Kong. His published work on nonparametric modeling, nonlinear time series, financial econometrics, analysis of longitudinal data, model selection, wavelets and other aspects of methodological and theoretical statistics has been recognized with the Presidents' Award from the Committee of Presidents of Statistical Societies, the Hettleman Prize for Artistic and Scholarly Achievement from the University of North Carolina, and by his election as a fellow of the American Statistical Association and the Institute of Mathematical Statistics. Qiwei Yao is Professor of Statistics at the London School of Economics and Political Science. He is an elected member of the International Statistical Institute, and has served on the editorial boards for the Journal of the Royal Statistical Society (Series B) and the Australian and New Zealand Journal of Statistics.

Название: Market microstructure and nonlinear dynamics
ISBN: 331905211X ISBN-13(EAN): 9783319052113
Издательство: Springer
Рейтинг:
Цена: 18167.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Market Microstructure and Nonlinear Dynamics

Автор: Joseph Plasmans
Название: Modern Linear and Nonlinear Econometrics
ISBN: 1441938311 ISBN-13(EAN): 9781441938312
Издательство: Springer
Рейтинг:
Цена: 29209.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The basic characteristic of Modern Linear and Nonlinear Econometrics is that it presents a unified approach of modern linear and nonlinear econometrics in a concise and intuitive way.

Автор: Englander Janos
Название: Advances in Superprocesses and Nonlinear PDEs
ISBN: 1461462398 ISBN-13(EAN): 9781461462392
Издательство: Springer
Рейтинг:
Цена: 15372.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Sergei Kuznetsov is one of the top experts on measure valued branching processes (also known as "superprocesses") and their connection to nonlinear partial differential operators. His research interests range from stochastic processes and partial differential equations to mathematical statistics, time series analysis and statistical software;

Автор: Terasvirta Clive W J
Название: Modelling Nonlinear Economic Time Series
ISBN: 0199587159 ISBN-13(EAN): 9780199587155
Издательство: Oxford Academ
Рейтинг:
Цена: 6572.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This volume is a comprehensive assessment of many recent developments in the modelling of time series. The focus is on introducing various nonlinear models and discussing their practical use, and encouraging the reader to apply nonlinear models to their practical modelling problems.

Автор: Plasmans
Название: Modern Linear and Nonlinear Econometrics
ISBN: 0387257608 ISBN-13(EAN): 9780387257600
Издательство: Springer
Рейтинг:
Цена: 29209.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The basic characteristic of "Modern Linear and Nonlinear Econometrics" is that it presents a unified approach of modern linear and nonlinear econometrics in a concise and intuitive way. It covers four major parts of modern econometrics: linear and nonlinear estimation and testing, time series analysis, models with categorical and limited dependent variables, and, finally, a thorough analysis of linear and nonlinear panel data modeling. Distinctive features of this handbook are: a unified approach of both linear and nonlinear econometrics, with an integration of the theory and the practice in modern econometrics; emphasis on sound theoretical and empirical relevance and intuition; focus on econometric and statistical methods for the analysis of linear and nonlinear processes in economics and finance, including computational methods and numerical tools; completely worked out empirical illustrations are provided throughout, the macroeconomic and microeconomic (household and firm level) data sets of which are available from the internet; these empirical illustrations are taken from finance (e.g.

CAPM and derivatives), international economics (e.g. exchange rates), innovation economics (e. g.

patenting), business cycle analysis, monetary economics, housing economics, labor and educational economics (e.g. demand for teachers according to gender) and many others; exercises are added to the chapters, with a focus on the interpretation of results; several of these exercises involve the use of actual data that are ty ical for current empirical work and that are made available on the internet. What is also distinguishable in "Modern Linear and Nonlinear Econometrics" is that every major topic has a number of examples, exercises or case studies.

By this 'learning by doing' method the intention is to prepare the reader to be able to design, develop and successfully finish his or her own research and/or solve real world problems.