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Time-series analysis

Most popular at the top

  • Nonlinear Time Seriesby Jianqing Fan; Qiwei Yao

    Springer 2008; US$ 79.99

    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... more...

  • Long-Memory Processesby Jan Beran; Yuanhua Feng; Sucharita Ghosh; Rafal Kulik

    Springer 2013; US$ 189.00

    Long-memory processes are known to play an important part in many areas of science and technology, including physics, geophysics, hydrology, telecommunications, economics, finance, climatology, and network engineering. In the last 20 years enormous progress has been made in understanding the probabilistic foundations and statistical principles of such... more...

  • Zeitreihenanalyseby Helmut Thome

    De Gruyter 2005; US$ 490.00

    Ausgangspunkt dieses Lehrbuchs sind die klassischen Verfahren der Zerlegung von Zeitreihen in verschiedene Komponenten (wie Trend und Zyklus). Im zweiten Schritt werden die Zeitreihen als stochastische Prozesse interpretiert, die im Rahmen des Box/Jenkins-Ansatzes modelliert werden können (sog. ARIMA-Modelle). Im dritten Schritt werden einzelne Zeitreihen... more...

  • Multivariate Time Series Analysisby Ruey S. Tsay

    Wiley 2013; US$ 135.00

    An accessible guide to the multivariate time series tools used in numerous real-world applications Multivariate Time Series Analysis: With R and Financial Applications is the much anticipated sequel coming from one of the most influential and prominent experts on the topic of time series. Through a fundamental balance of theory and methodology,... more...

  • Hidden Markov Models in Financeby Rogemar S. Mamon; Robert J. Elliott

    Springer 2014; US$ 129.00

    Since the groundbreaking research of Harry Markowitz into the application of operations research to the optimization of investment portfolios, finance has been one of the most important areas of application of operations research. The use of hidden Markov models (HMMs) has become one of the hottest areas of research for such applications to finance.... more...

  • Applied Nonlinear Time Series Analysisby Michael Small

    World Scientific Publishing Company 2005; US$ 163.00

    Nonlinear time series methods have developed rapidly over a quarter of a century and have reached an advanced state of maturity during the last decade. Implementations of these methods for experimental data are now widely accepted and fairly routine; however, genuinely useful applications remain rare. This book focuses on the practice of applying these... more...

  • Topics in Nonlinear Time Series Analysisby Andreas Galka

    World Scientific Publishing Company 2000; US$ 164.00

    This book provides a thorough review of a class of powerful algorithms for the numerical analysis of complex time series data which were obtained from dynamical systems. These algorithms are based on the concept of state space representations of the underlying dynamics, as introduced by nonlinear dynamics. In particular, current algorithms for state... more...

  • Case Study in Time Series Analysisby Xie Zhongjie

    World Scientific Publishing Company 1993; US$ 129.00

    This book is a monograph on case studies using time series analysis, which includes the main research works applied to practical projects by the author in the past 15 years. The works cover different problems in broad fields, such as: engineering, labour protection, astronomy, physiology, endocrinology, oil development, etc. The first part of this... more...

  • Digital Spectral Analysisby Castanié; Francis

    Wiley 2013; US$ 155.00

    Digital Spectral Analysis provides a single source that offers complete coverage of the spectral analysis domain. This self-contained work includes details on advanced topics that are usually presented in scattered sources throughout the literature. The theoretical principles necessary for the understanding of spectral analysis are discussed in the... more...