搜索结果: 1-7 共查到“理学 non-parametric”相关记录7条 . 查询时间(0.093 秒)
Non-parametric analysis of a single seismometric recording to obtain building dynamic parameters
damping fundamental mode singledegree-of-freedom ambient vibration
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2015/9/2
We propose a simple time-domain, non-parametric method to estimate the damping at the fundamental frequency of a building. The method aims at obtaining quick-and-dirty data on large sets of buildings,...
Wavelets and the theory of non-parametric function estimation
Pinsker’s theorem sparsity statistical decision problem
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2015/8/20
Non-parametric function estimation aims to estimate or recover or denoise a function
of interest, perhaps a signal, spectrum or image, that is observed in noise and possibly
indirectly after some tr...
Non-Parametric Maximum Likelihood Density Estimation and Simulation-Based Minimum Distance Estimators
Non-Parametric Maximum Likelihood Density Estimation Simulation-Based Minimum Distance Estimators
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2011/2/22
Indirect inference estimators (i.e., simulation-based minimum distance estimators) in a
parametric model that are based on auxiliary non-parametric maximum likelihood density
estimators are shown to...
Non-Parametric Tests of Structure for High Angular Resolution Diffusion Imaging in Q-Space
High Angular Resolution Imaging in Q-Space
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2010/11/18
High angular resolution diffusion imaging data is the observed characteristic function for the local diffusion of water molecules in tissue. This data is used to infer structural information in brain...
Non-Parametric Statistics on Extreme Rainfall
Non-Parametric Statistics Extreme Rainfall
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2009/10/26
This article focuses on rain as input data to problems related to urban storm
drainage. The rain data originate from a monitoring program consisting of 56
gauges in Denmark. The gauges have observat...
Neural networks and non-parametric methods for improving real-time flood forecasting through conceptual hydrological models
real-time flood forecasting precipitation prediction
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2009/3/17
Time-series analysis techniques for improving the real-time flood forecasts issued by a deterministic lumped rainfall-runoff model are presented. Such techniques are applied for forecasting the short-...
A non-parametric hidden Markov model for climate state identification
Hidden Markov models non-parametric two-state model
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2009/3/12
Hidden Markov models (HMMs) can allow for the varying wet and dry cycles in the climate without the need to simulate supplementary climate variables. The fitting of a parametric HMM relies upon assump...