Searched for: subject%3A%22Time%255C+series%255C+analysis%22
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Bosgra, J.A. (author)
Noise measurements were performed on two identical space qualified gyroscopes of the floated rate integrating type (Perranti Type I25) in an analog rehalance loop configuration of selectable loop bandwidth, running under space representative conditions. The noise frequency range of interest was O.OO5 Hz to 50 Hz. The noise results were processed...
report 1979
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Wensink, H.E. (author)
doctoral thesis 1996
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Ruan, M. (author)
doctoral thesis 1999
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Furuya, M. (author)
Currently, 434 nuclear power plants are in operation worldwide. 21% of them are known as Boiling Water Reactors (BWRs). These BWRs have pumps that cool their reactor cores (the forced circulation BWRs). In the design of new BWRs, ways to cool the core by a natural circulation flow, without pumps, also called natural circulation BWRs, are being...
doctoral thesis 2006
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Wang, W. (author)
Abstract not available
doctoral thesis 2006
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Blaas, M. (author), Boogaard, H.F.P. van den. (author)
report 2006
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Bos, M.S. (author), Fernandes, R.M.S. (author), Williams, S.D.P. (author), Bastos, L. (author)
It has been generally accepted that the noise in continuous GPS observations can be well described by a power-law plus white noise model. Using maximum likelihood estimation (MLE) the numerical values of the noise model can be estimated. Current methods require calculating the data covariance matrix and inverting it, which is a significant...
journal article 2007
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Lichtenauer, J.F. (author), Hendriks, E.A (author), Reinders, M.J.T. (author)
To recognize speech, handwriting, or sign language, many hybrid approaches have been proposed that combine Dynamic Time Warping (DTW) or Hidden Markov Models (HMMs) with discriminative classifiers. However, all methods rely directly on the likelihood models of DTW/HMM. We hypothesize that time warping and classification should be separated...
journal article 2008
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Den Dekker, A.J. (author), Poot, D.H.J. (author), Bos, R. (author), Sijbers, J. (author)
Functional magnetic resonance imaging (fMRI) data that are corrupted by temporally colored noise are generally preprocessed (i.e., prewhitened or precolored) prior to functional activation detection. In this paper, we propose likelihood-based hypothesis tests that account for colored noise directly within the framework of functional activation...
journal article 2009
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Broersen, P.M.T. (author)
The Yule-Walker (YW) method for autoregressive (AR) estimation uses lagged-product (LP) autocorrelation estimates to compute an AR parametric spectral model. The LP estimates only have a small triangular bias in the estimated autocorrelation function and are asymptotically unbiased. However, using them in finite samples with the YW method for AR...
journal article 2009
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Broersen, P.M.T. (author)
Vector time series analysis takes the same model order and model type for the different signals involved. Selection criteria have been developed to select the best order to simultaneously predict the different components of the vector. The prediction of single channels might require a different order or type for the best accuracy of each...
journal article 2009
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Veling, E.J.M. (author), Maas, C. (author)
In this paper we comment on some recent numerical and analytical work to evaluate the Hantush Well Function. We correct an expression found in a Comment by Nadarajah (J. of Hydrology, vol. 338, p. 152-153 (2007)) to a paper by Prodanoff et al. (J. of Hydrology, vol. 318, p. 173-183 (2006)). We subsequently derived another analytic representation...
journal article 2010
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Ooms, J.C. (author)
This thesis investigates methods to assess stationarity in a given time series. It is assumed that such a time series is generated by one of the autoregressive and moving average models, with optional deterministic and/or stochastic trends. The problem subjected here, will be to characterize if this stochastic process is stationary or non...
bachelor thesis 2012
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Van Tol, P.J.M. (author)
A couple of topics on calculating the required capital of an insurance company are covered in this thesis. We derive a new method in order to compare correlation matrices of aggregation methods consisting of one- or two-levels. Different from earlier time series analysis, we show that a prediction for the one-year correlation can be made with...
master thesis 2013
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Obergfell, C.C.A. (author), Bakker, M. (author), Maas, Kees (author)
The flood-wave method is implemented within the framework of time-series analysis to estimate aquifer parameters for use in a groundwater model. The resulting extended flood-wave method is applicable to situations where groundwater fluctuations are affected significantly by time-varying precipitation and evaporation. Response functions for time...
journal article 2016
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Collenteur, R.A. (author)
The objective of this study is to improve the simulation of deep groundwater levels by time se- ries models with pre-defined impulse response functions. This is attempted by adding a conceptual non-linear root zone model to simulate the recharge series to the model and by testing the use of a separate response function for the percolation zone....
master thesis 2016
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Nemati, M. (author), Kenjeres, S. (author), Urbach, Paul (author), Bhattacharya, N. (author)
The scattering of coherent light from a system with underlying flow can be used to yield essential information about dynamics of the process. In the case of pulsatile flow, there is a rapid change in the properties of the speckle images. This can be studied using the standard laser speckle contrast and also the fractality of images. In this...
journal article 2016
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Papathanasiou, M. (author)
The problem owner of the present study is a consulting company that provides simulation-based workforce planning advice to a big manufacturing firm XYZ. The latter pertains the number of engineers of various skill levels that are needed for the repair of health care equipment in hospitals of a large country. The prediction of machine failures ...
master thesis 2016
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van der Spek, J.E. (author), Bakker, M. (author)
The influence of the length of the calibration period and observation frequency on the predictive uncertainty in time series modeling of groundwater dynamics is investigated. Studied series are from deltaic regions with predominantly shallow groundwater tables in a temperate maritime climate where heads vary due to precipitation and...
journal article 2017
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de Rooij, Tim (author)
Time-frequency analysis and digital signal processing are important tools in the field of coastal engineering. Both can be done using techniques like Fourier or wavelet analysis, however, analysts from this field experience a threshold to use wavelet analysis instead of their current methods, often Fourier-based. This is due to the lack of...
master thesis 2017
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