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Determining the spectral function uncertainty scale

Role of Public Expenditures and Macroeconomic Uncertainty in Determining Private Investment in Large Scale Manufacturing Sector of Pakistan

Role of Public Expenditures and Macroeconomic Uncertainty in Determining Private Investment in Large Scale Manufacturing Sector of Pakistan

... International Research Journal of Finance and Economics - Issue 26 (2009) 39 uncertainty tends to depress the private investment in large-scale manufacturing. The study also supports that larger the size of ...

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Role of Public Expenditures and Macroeconomic Uncertainty in Determining Private Investment in Large Scale Manufacturing Sector of Pakistan

Role of Public Expenditures and Macroeconomic Uncertainty in Determining Private Investment in Large Scale Manufacturing Sector of Pakistan

... International Research Journal of Finance and Economics - Issue 26 (2009) 39 uncertainty tends to depress the private investment in large-scale manufacturing. The study also supports that larger the size of ...

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Rapid prediction of NMR spectral properties with quantified uncertainty

Rapid prediction of NMR spectral properties with quantified uncertainty

... of uncertainty with their predictions, including inject- ing noise into the network at prediction time [8] and minimizing a variational objective ...an uncertainty value for each predicted shift ...

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Uncertainty estimation of spectral quality factor for photometers and 
		colorimeters

Uncertainty estimation of spectral quality factor for photometers and colorimeters

... colorimeters, spectral quality factor, spectroradiometer, spectral responsivity of ...in spectral response over the 380-780 nm band, referred to as the photopic ...photometer, spectral ...

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Practical Camera Sensor Spectral Response and Uncertainty Estimation

Practical Camera Sensor Spectral Response and Uncertainty Estimation

... loss function to regularize the ...resulting spectral responses for each of the methods being compared, we compare against measured RGB channel values and against ground truth spectral ...of ...

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Determining the Pixel-to-Pixel Uncertainty in Satellite-Derived SST Fields

Determining the Pixel-to-Pixel Uncertainty in Satellite-Derived SST Fields

... a function of the local precision of the underlying data, where the local precision is defined as the square root of the variance of individual pixel values following removal of real trends in the data and removal ...

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Determining the Pixel-to-Pixel Uncertainty in Satellite-Derived SST Fields

Determining the Pixel-to-Pixel Uncertainty in Satellite-Derived SST Fields

... (0.04 km -1 ). Also apparent from these plots is that the approximately linear portion of the AVHRR 470 spectrum corresponds to a small fraction (~10%) of the 129 spectral values. This means that 471 relatively ...

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Modelling scale effects and uncertainty in rating surveys

Modelling scale effects and uncertainty in rating surveys

... To get an idea of the modification in π expressed by the previous formula, we compare the values of the square root in (6) for varying ξ and for m ∗ = m+1, m+2, ..., when m = 5 (Figure 5). The plots show that such a ...

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Factors determining spectral width of HF echoes from high latitudes

Factors determining spectral width of HF echoes from high latitudes

... of spectral broadening it is im- portant to start the analysis from the original ACF data to avoid any bias due to data processing artefacts and initial assumptions about ACF ...time scale, τ c ' 16 ...

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Eigencuts on Hadoop: Spectral Clustering for Image Segmentation at Scale

Eigencuts on Hadoop: Spectral Clustering for Image Segmentation at Scale

... Mahout provides a wealth of data structures and sup- porting algorithms that are well-tested and optimized to function at scale. In particular, we make use of its sparse vector representation and ...

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Determining the control circuitry of redox metabolism at the genome-scale.

Determining the control circuitry of redox metabolism at the genome-scale.

... (PDF) Figure S8 Causative classification of genes differentially ex- pressed log two fold between a wild type and DarcA or Dfnr strain under fully fermentative conditions. After deletion of the arcA and fnr transcription ...

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A new scoring function for top-down spectral deconvolution

A new scoring function for top-down spectral deconvolution

... top-down spectral deconvolution ...The scale ratio is estimated based on the peak intensities of the experimental isotopomer ...scoring function, and a match is reported only if its score is higher ...

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Spectral effects and determining the solar spectral distribution for Mugla and Ankara

Spectral effects and determining the solar spectral distribution for Mugla and Ankara

... (12) Spectral irradiance is calculated for horizontal and 30 tilt angle with ...under spectral irradiance- wavelength curve gives the total solar irradiance solar output of photovoltaic modules varies with ...

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Spectral Analysis of Uncertainty in Water Age

Spectral Analysis of Uncertainty in Water Age

... longer influenced by the initial condition. The values of the mean values and standard deviations are given in Table 1 along with the expansion order. In the evaluation of the results it has become apparent that for the ...

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Determining Measurement Uncertainty for Dimensional Measurements

Determining Measurement Uncertainty for Dimensional Measurements

... Uncertainty due to temperature differential: If the temperature of the micrometer and the gage block are not the same they will experience unequal thermal expansion or contraction and this will produce an error in ...

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On Estimators of a Spectral Density Function

On Estimators of a Spectral Density Function

... log-likelihood function (CVLL), one will also minimize the mean square integrated error, which is what they propose as a theoretical figure of merit for a spectrum ...

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Large-Scale Spectral Clustering on Graphs

Large-Scale Spectral Clustering on Graphs

... In this paper, we propose such an algorithm using spec- tral methods, which have been widely used for effective graph clustering [Shi and Malik, 1997]. Many previous stud- ies have examined accelerating spectral ...

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Determining the health of Lustre filesystems at scale

Determining the health of Lustre filesystems at scale

... The standard snmpwalk will not complete in 30 seconds (SNMP timeout). This is another example of how the monitoring framework must scale to meet future needs. Another headache comes in the Lustre client side ...

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THE autocorrelation function and the power spectral density

THE autocorrelation function and the power spectral density

... ARMAsel for Detection and Correction of Outliers in Univariate Stochastic Data Piet M. T. Broersen Abstract—For stationary random data, an automatic estimation algorithm can now select a time series model with a ...

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Uncertainty quantification for integrated circuits: Stochastic spectral methods

Uncertainty quantification for integrated circuits: Stochastic spectral methods

... stochastic spectral circuit simulators based on generalized polynomial chaos ...The uncertainty quantification algorithms for static, transient and periodic steady-state simulations are presented along with ...

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