Practice of Time Series Analysis

Häftad, Engelska, 2011

Del i serien Information Science and Statistics

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Beskrivning

The editors have been aware of the importance of cooperative research in sta tistical science and carried out various cooperative research projects in the area of time series analysis.

Produktinformation

Utgivningsdatum:2011-11-18
Mått:155 x 235 x 23 mm
Vikt:616 g
Format:Häftad
Språk:Engelska
Serie:Information Science and Statistics
Antal sidor:386
Förlag:Springer-Verlag New York Inc.
ISBN:9781461274391

Utforska kategorier

Matematisk statistik inom Naturvetenskap och teknik

Innehållsförteckning

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.