The Practice of Time Series Analysis

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This collection of 23 articles presents the applications of time series to problems in engineering and physical science.

Inhalt
1 Control of Boilers for Thermoelectric Power Plants by Means of a Statistical Model.- 2 Feedback Analysis of a Living Body by a Multivariate Autoregressive Model.- 3 Factor Decomposition of Economic Time Series Fluctuations Economic and Statistical Models in Harmony.- 4 The Statistical Optimum Control of Ship Motion and a Marine Main Engine.- 5 High Precision Estimation of Seismic Wave Arrival Times.- 6 Analysis of Dynamic Characteristics of a Driver-Vehicle System.- 7 Estimation of Directional Wave Spectra Using Ship Motion Data.- 8 Control of Filature Production Process.- 9 Application to Pharmacokinetic Analysis.- 10 State Space Modeling of Switching Time Series.- 11 Time Varying Coefficient AR and VAR Models.- 12 Statistical Control of Cement Process.- 13 Analysis of a Human/2-Wheeled-Vehicle System by ARdock.- 14 Vibration Data Analysis of Automobiles.- 15 Auto-Regressive Spectral Analysis of RR-Interval Time Series in Healthy Fetus and Newborn Infants.- 16 Information Processing Mechanisms in the Mammalian Brain: Analysis of Spatio-Temporal Neural Response in the Auditory Cortex.- 17 Time Series Analysis of Financial Asset Price Fluctuations.- 18 Dynamic Analysis of Economic Time Series.- 19 Processing of Time Series Data Obtained by Satellites.- 20 Analysis of Earth Tides Data.- 21 Detection of Groundwater Level Changes Related to Earthquakes.- 22 Processing of Missing Observations and Outliers in Time Series.- 23 Mental Preparation for Time Series Analysis.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09781461274391
    • Editor Hirotugu Akaike, Genshiro Kitagawa
    • Sprache Englisch
    • Größe H235mm x B155mm x T23mm
    • Jahr 2011
    • EAN 9781461274391
    • Format Kartonierter Einband
    • ISBN 1461274397
    • Veröffentlichung 18.11.2011
    • Titel The Practice of Time Series Analysis
    • Untertitel Information Science and Statistics
    • Gewicht 616g
    • Herausgeber Springer
    • Anzahl Seiten 408
    • Lesemotiv Verstehen
    • Genre Mathematik

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