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Time-series analysis

Most popular at the top

  • Fourier Analysis of Time Seriesby Peter Bloomfield

    Wiley 2004; US$ 179.00

    A new, revised edition of a yet unrivaled work on frequency domain analysis Long recognized for his unique focus on frequency domain methods for the analysis of time series data as well as for his applied, easy-to-understand approach, Peter Bloomfield brings his well-known 1976 work thoroughly up to date. With a minimum of mathematics and an engaging,... more...

  • Introduction to Statistical Time Seriesby Wayne A. Fuller

    Wiley 2009; US$ 189.00

    The subject of time series is of considerable interest, especially among researchers in econometrics, engineering, and the natural sciences. As part of the prestigious Wiley Series in Probability and Statistics, this book provides a lucid introduction to the field and, in this new Second Edition, covers the important advances of recent years, including... more...

  • Handbook of Time Series Analysisby Bjö Schelter; rn; Matthias Winterhalder; Jens Timmer

    Wiley 2006; US$ 299.00

    This handbook provides an up-to-date survey of current research topics and applications of time series analysis methods written by leading experts in their fields. It covers recent developments in univariate as well as bivariate and multivariate time series analysis techniques ranging from physics' to life sciences' applications. Each chapter comprises... more...

  • A Course in Time Series Analysisby Peñ; Daniel a; George C. Tiao; Ruey S. Tsay

    Wiley 2011; US$ 221.00

    New statistical methods and future directions of research in time series A Course in Time Series Analysis demonstrates how to build time series models for univariate and multivariate time series data. It brings together material previously available only in the professional literature and presents a unified view of the most advanced procedures... more...

  • Introduction to Time Series Analysis and Forecastingby Douglas C. Montgomery; Cheryl L. Jennings; Murat Kulahci

    Wiley 2011; US$ 162.00

    An accessible introduction to the most current thinking in and practicality of forecasting techniques in the context of time-oriented data. Analyzing time-oriented data and forecasting are among the most important problems that analysts face across many fields, ranging from finance and economics to production operations and the natural sciences.... more...

  • Forecasting with Dynamic Regression Modelsby Alan Pankratz

    Wiley 2012; US$ 261.00

    One of the most widely used tools in statistical forecasting, single equation regression models is examined here. A companion to the author's earlier work, Forecasting with Univariate Box-Jenkins Models: Concepts and Cases, the present text pulls together recent time series ideas and gives special attention to possible intertemporal patterns, distributed... more...

  • 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...

  • Digital Spectral Analysisby Castanié; Francis

    Wiley 2013; US$ 160.00

    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... 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...