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Time-series analysis

Most popular at the top

  • The Spectral Analysis of Time Seriesby L. H. Koopmans; Z. W. Birnbaum; E. Lukacs

    Elsevier Science 2014; US$ 72.95

    The Spectral Analysis of Time Series describes the techniques and theory of the frequency domain analysis of time series. The book discusses the physical processes and the basic features of models of time series. The central feature of all models is the existence of a spectrum by which the time series is decomposed into a linear combination of sines... more...

  • Applied Time Series Analysis IIby David F. Findley

    Elsevier Science 2014; US$ 93.95

    Applied Time Series Analysis II contains the proceedings of the Second Applied Time Series Symposium Held in Tulsa, Oklahoma, on March 3-5, 1980. The symposium provided a forum for discussing significant advances in time series analysis and signal processing. Effective alternatives to the familiar least-square and maximum likelihood procedures are... more...

  • Applied Time Series Analysisby David F. Findley

    Elsevier Science 2014; US$ 72.95

    Applied Time Series Analysis contains the proceedings of the First Applied Time Series Symposium held in Tulsa, Oklahoma, on May 14-15, 1976. The symposium provided a forum for reviewing various applications of time series analysis and covered topics ranging from nonlinear time series modeling and G-spectral estimation to multivariate autoregression... more...

  • Diagnostic Checks in Time Seriesby Wai Keung Li

    CRC Press 2003; US$ 125.95

    INTRODUCTION DIAGNOSTIC CHECKS FOR UNIVARIATE LINEAR MODELS Introduction The Asymptotic Distribution of the Residual Autocorrelation Distribution Modifications of the Portmanteau Statistic Extension to Multiplicative Seasonal ARMA Models Relation with the Lagrange Multiplier Test A Test Based on the Residual Partial Autocorrelation test A Test Based... more...

  • The Analysis of Time Seriesby Chris Chatfield

    CRC Press 2013; US$ 83.95

    INTRODUCTION Some Representative Time Series Terminology Objectives of Time-Series Analysis Approaches to Time-Series Analysis Review of Books of Time Series SIMPLE DESCRIPTIVE TECHNIQUES Types of Variation Stationary Time Series The Time Plot Transformation Analysing Series that Contain a Trend Analysing Series that Contain Seasonal Variation Autocorrelation... more...

  • Nonlinear Time Series Analysisby Holger Kantz; Thomas Schreiber

    Cambridge University Press 2003; US$ 72.00

    New edition of a successful advanced text on nonlinear time series analysis. more...

  • Time-Series Forecastingby Chris Chatfield

    CRC Press 2000; US$ 139.95

    INTRODUCTION Types of Forecasting Methods Some Preliminary Questions The Dangers of Extrapolation Are Forecasts Genuinely Out-of-Sample? Brief Overview of Relevant Literature BASICS OF TIME-SERIES ANALYSIS Different Types of Time Series Objectives of Time-Series Analysis Simple Descriptive Techniques Stationary Stochastic Processes Some Classes of... more...

  • Statistical Methods for Spatio-Temporal Systemsby Barbel Finkenstadt; Leonhard Held

    CRC Press 2006; US$ 125.95

    Preface Spatio-Temporal Point Processes: Methods and Applications Peter J. Diggle Spatio-Temporal Modeling-With a View to Biological Growth Eva B. Vedel Jensen, Kristjana İr Jónsdóttir, Jürgen Schmiegel, and Ole E. Barndorff-Nielsen Using Transforms to Analyze Space-Time Processes Montserrat Fuentes, Peter Guttorp, and Paul D. Sampson Geostatistical... more...

  • New Introduction to Multiple Time Series Analysisby Helmut Lütkepohl

    Springer Berlin Heidelberg 2005; US$ 69.95

    This is the new and totally revised edition of Lütkepohl?s classic 1991 work. It provides a detailed introduction to the main steps of analyzing multiple time series, model specification, estimation, model checking, and for using the models for economic analysis and forecasting. more...

  • Benchmarking, Temporal Distribution, and Reconciliation Methods for Time Seriesby Pierre A. Cholette; Estela Bee Dagum

    Springer 2006; US$ 149.00

    Modern economies rely on time series at all levels of activity. Time series are used by decision makers to plan for a better future. This book deals with time series data transformations. In order to facilitate understanding of their properties and limitations of the methods discussed, a real data example is followed throughout the book. more...