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  • Time series analysis
  • Springer  (6)
  • Cell Press
  • 2005-2009  (2)
  • 1985-1989  (4)
  • 1980-1984
  • 1
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    Univariate Time Series in Geosciences - Theory and Examples (2006)
    Springer
    In:  Basel, 404 pp., Springer, vol. 10, no. Subvol. b, pp. 220, (3-540-23810-7, XVII + 718 p., 220 illus.)
    Details
    Publication Date: 2006
    Description: The author introduces the statistical analysis of geophysical time series. The book includes also a chapter with an introduction to geostatistics, many examples and exercises which help the reader to work with typical problems
    Keywords: Textbook of geophysics ; Data analysis / ~ processing ; Time series analysis ; Statistical investigations ; Auto-Regressive Moving Average-process ; Geostatistics, ; Modeling, ; R ; programming ; language, ; Simulation, ; Statistical ; analysis
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    BIBLIOGRAPHY SEISMOLOGY
  • 2
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    MATLAB Recipes for Earth Sciences (2006)
    Springer
    In:  Berlin, Springer, vol. 3, no. ALEX(01)-FR-77-01, AFTAC Contract F08606-76-C-0025, pp. 329, (ISBN: 3-540-27983-0, XII + 238 p., 77 illus., 13 in colour with CD-ROM)
    Details
    Publication Date: 2006
    Description: Contents: Data Analysis in Earth Sciences - Introduction to MATLAB - Univariate Statistics - Bivariate Statistics - Time-Series Analysis - Signal Processing - Spatial Data including Digital Elevation Models - Image Processing including Processing and Georeferencing of Satellite Images - Multivariate Statistics; IfGW Uni Potsdam
    Keywords: Data analysis / ~ processing ; Modelling ; software ; Textbook of geophysics ; Statistical investigations ; digital signal analysis (also DSP) ; DSP ; Time series analysis ; Digital elevation model ; geographic ; coordinates ; Mapping ; Toolbox
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    BIBLIOGRAPHY SEISMOLOGY
  • 3
    Electronic Resource
    Electronic Resource
    Kalman filter estimation for periodic autoregressive-moving average models (1989)
    Springer
    Stochastic environmental research and risk assessment 3 (1989), S. 227-240 
    Details
    ISSN: 1436-3259
    Keywords: Kalman filter ; Maximum likelihood estimation ; Periodic models ; Stochastic hydrology ; Time series analysis
    Source: Springer Online Journal Archives 1860-2000
    Topics: Architecture, Civil Engineering, Surveying , Energy, Environment Protection, Nuclear Power Engineering , Geography , Geosciences
    Notes: Abstract An exact maximum likelihood procedure is presented for estimating the parameters of a periodic autogressive-moving average (PARMA) model. To develop an estimator which is both statistically and computationally efficient, the PARMA class of models is written using a state-space representation and a Kalman filtering algorithm is used to estimate the parameters. In order to demonstrate how to fit PARMA models in practice, the most appropriate types of PARMA models are identified for fitting to two average monthly riverflow time series and the new estimator is employed for estimating the model parameters.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF01543862
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    Paper (German National Licenses)
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  • 4
    Electronic Resource
    Electronic Resource
    Application of time series analysis and modern control theory to the cement plant (1988)
    Springer
    Annals of the Institute of Statistical Mathematics 40 (1988), S. 419-438 
    Details
    ISSN: 1572-9052
    Keywords: Time series analysis ; identification ; control ; cement plant process
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract Cement plant process is full of internal noise sources and feedback loops. Therefore, statistical approach is required to understand its dynamic characteristics. Time series analysis has been applied to some important subprocesses of a cement plant process. These are the vertical mill process, calcining process and clinker cooling process. Based on the AR models of these, a set of optimum controllers have been designed by modern control theory. Successful results of application are reported in this paper. A method of determining optimal production level is also discussed.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00053056
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    Paper (German National Licenses)
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  • 5
    Electronic Resource
    Electronic Resource
    The effect of fluctuations in tidal inundation frequency on a salt-marsh vegetation (1988)
    Springer
    Plant ecology 78 (1988), S. 13-19 
    Details
    ISSN: 1573-5052
    Keywords: Permanent plot ; Population dynamics ; Salinity ; Time series analysis
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract Over a period of 15 years recordings were made of the species cover in permanent plots on the salt marsh of one of the West Frisian Islands, Schiermonnikoog (The Netherlands). Correlations between annual changes in the cover of the major species, and fluctuations in the monthly frequency of inundation by seawater were studied. First, a spectral analysis was carried out on the inundation frequency data to look for predictable patterns. Subsequently, fluctuations were defined as deviations from these predictable patterns. In a repeated multiple regression model, the effects of the season in which the fluctuations occurred, and the elevational position of the plots on the salt marsh were studied as factors influencing the correlation patterns. The behaviour of various species is discussed in relation to their seed bank characteristics and their salt tolerance.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00045634
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  • 6
    Electronic Resource
    Electronic Resource
    A Monte Carlo technique for signal level detection in implanted intracranial pressure monitoring (1987)
    Springer
    Annals of biomedical engineering 15 (1987), S. 79-89 
    Details
    ISSN: 1573-9686
    Keywords: Trend detection ; Monte Carlo method ; Time series analysis ; ICP sampling
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine , Technology
    Notes: Abstract Statistical monitoring techniques like CUSUM, Trigg's tracking signal and EMP filtering have a major advantage over more recent techniques, such as Kalman filtering, because of their inherent simplicity. In many biomedical applications, such as electronic implantable devices, these simpler techniques have greater utility because of the reduced requirements on power, logic complexity and sampling speed. The determination of signal means using some of the earlier techniques are reviewed in this paper, and a new Monte Carlo based method with greater capability to sparsely sample a waveform and obtain an accurate mean value is presented. This technique may find widespread use as a trend detection method when reduced power consumption is a requirement.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF02364169
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    Paper (German National Licenses)
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