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Time-series analysis

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

    Wiley 2014; US$ 115.00

    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...

  • Hidden Markov Models in Financeby

    Springer US 2014; US$ 129.00

    This book offers cutting-edge research developments and applications of Hidden Markov Models (HMMs) to finance and closely allied fields. It will help readers to use HMMs to accurately and efficiently capture many of the processes in the financial market. more...

  • 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...

  • Displaying Time Series, Spatial, and Space-Time Data with Rby Oscar Perpinan Lamigueiro

    CRC Press 2014; US$ 79.95

    Code and Methods for Creating High-Quality Data Graphics A data graphic is not only a static image, but it also tells a story about the data. It activates cognitive processes that are able to detect patterns and discover information not readily available with the raw data. This is particularly true for time series, spatial, and space-time datasets.... more...

  • Nonlinear Time Seriesby Randal Douc; Eric Moulines; David Stoffer

    CRC Press 2014; US$ 99.95

    FOUNDATIONS Linear Models Stochastic Processes The Covariance World Linear Processes The Multivariate Cases Numerical Examples Exercises Linear Gaussian State Space Models Model Basics Filtering, Smoothing, and Forecasting Maximum Likelihood Estimation Smoothing Splines and the Kalman Smoother Asymptotic Distribution of the MLE Missing... 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...

  • Multivariate Time Series Analysisby Ruey S. Tsay

    Wiley 2013; US$ 140.00

    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...

  • Time Series with Mixed Spectraby Ta-Hsin Li

    CRC Press 2013; US$ 83.95

    Introduction Periodicity and Sinusoidal Functions Sampling and Aliasing Time Series with Mixed Spectra Complex Time Series with Mixed Spectra Basic Concepts Parameterization of Sinusoids Spectral Analysis of Stationary Processes Gaussian Processes and White Noise Linear Prediction Theory . Asymptotic Statistical Theory Cramér-Rao... more...