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Time-series analysis

Most popular at the top

  • Future Perfectby Robyn Williams

    Allen & Unwin 2007; US$ 24.53

    With his inimitable and entertaining mix of reportage and feigned indignation, Robyn Williams tackles the future of just about everything - from work and science to god and sex. more...

  • Basic Data Analysis for Time Series with Rby DeWayne R. Derryberry

    Wiley 2014; US$ 119.00 US$ 103.13

    Written at a readily accessible level, Basic Data Analysis for Time Series with R emphasizes the mathematical importance of collaborative analysis of data used to collect increments of time or space. Balancing a theoretical and practical approach to analyzing data within the context of serial correlation, the book presents a coherent and systematic... more...

  • Regression Models for Time Series Analysisby Benjamin Kedem; Konstantinos Fokianos

    Wiley 2005; US$ 189.00 US$ 163.80

    A thorough review of the most current regression methods in time series analysis Regression methods have been an integral part of time series analysis for over a century. Recently, new developments have made major strides in such areas as non-continuous data where a linear model is not appropriate. This book introduces the reader to newer developments... more...

  • Applied Nonlinear Time Series Analysisby Michael Small

    World Scientific Publishing Company 2005; US$ 100.00 US$ 82.00

    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...

  • Nonlinear Time Seriesby Jiti Gao

    CRC Press 2007; US$ 109.95

    Useful in the theoretical and empirical analysis of nonlinear time series data, semiparametric methods have received extensive attention in the economics and statistics communities over the past twenty years. Recent studies show that semiparametric methods and models may be applied to solve dimensionality reduction problems arising from using fully... more...

  • Dynamic Stochastic Models from Empirical Databy Kashyap

    Elsevier Science 1976; US$ 98.95

    Dynamic Stochastic Models from Empirical Data more...

  • Forecasting with Univariate Box - Jenkins Modelsby Alan Pankratz

    Wiley 2009; US$ 295.00 US$ 255.67

    Explains the concepts and use of univariate Box-Jenkins/ARIMA analysis and forecasting through 15 case studies. Cases show how to build good ARIMA models in a step-by-step manner using real data. Also includes examples of model misspecification. Provides guidance to alternative models and discusses reasons for choosing one over another. more...

  • Introduction to Statistical Time Seriesby Wayne A. Fuller

    Wiley 2009; US$ 195.00 US$ 169.00

    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...

  • Multiple Time Seriesby Edward James Hannan

    Wiley 2009; US$ 167.00 US$ 144.73

    The Wiley Series in Probability and Statistics is a collection of topics of current research interests in both pure and applied statistics and probability developments in the field and classical methods. This series provides essential and invaluable reading for all statisticians, whether in academia, industry, government, or research. more...

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

    Wiley 2006; US$ 308.00 US$ 266.93

    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...