Data and parameter estimates
A study on the characteristics of rainfall data and its parameter estimates
... rainfall data is the unavailability of long series of historical daily rainfall data thus a method to estimate the parameter estimates using the monthly averages is very much beneficial to ...
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Data-driven Simple Thermal Models: The Importance of the Parameter Estimates
... the parameter estimation for a simple thermal model for buildings from a ‘building physics’ perspective, to ensure that the model will eventually be less dependent on (although driven by) the monitored ...
6
Data-driven simple thermal models: the importance of the parameter estimates
... the parameter estimation for a simple thermal model for buildings from a ‘building physics’ perspective, to ensure that the model will eventually be less dependent on (although driven by) the monitored ...
6
Comparing Parameter Estimates Obtained by Simulation Study and Real Life Data from the Two-Parameter Gamma Model
... obtain parameter estimates from the two-parameter Gamma ...two- parameter Gamma model was also put into ...life data considering data sets generated by R statistical software for ...
5
Missing Data in Complex Sample Surveys: Impact of Deletion and Imputation Treatments on Point and Interval Parameter Estimates
... missing data in complex sample surveys. The five missing data methods were listwise deletion (LW), single hot-deck imputation (HS), single regression imputation (RS), hot-deck-based multiple imputation ...
170
How to improve parameter estimates in GLM-based fMRI data analysis: cross-validated Bayesian model averaging
... simulated data, we were able to show that averaged model parameter estimates have a smaller mean squared error than even the best model’s parameter ...empirical data, we demonstrated ...
23
Treatment of Incomplete Data in the Field of Operational Risk: The Effects on Parameter Estimates, EL and UL Figures
... the data, alternative, more robust, measures (as the median or the trimmed/winsorised means) could be called for to represent the typical loss experience of the ...
24
Non-linear Parameter Estimates from Non-stationary MEG Data
... Simulated Data Description Simulations were carried out using MEG system geometry based on the third order synthetic gradiometer configuration of a 274 (275 with one channel disabled) channel whole head CTF MEG ...
9
Globally optimal parameter estimates for nonlinear diffusions
... A striking observation is the higher bias of the ML estimator over the EML estimator. The closed-form likelihood expansion and EML display similar biases. No noticeable difference can be seen by choosing 200 or 1000 ...
32
Discontinuous Parameter Estimates with Least Squares Estimators
... squares estimates and hence are a mechanism through which least squares can be used to estimate discontinuous ...from data collected in the Dry Creek Watershed near Boise, Idaho. Parameter ...
21
SOTER-based soil parameter estimates for Southern Africa
... Figure 5. Conventions for coding the various attributes used in the taxotransfer scheme. A high confidence rating, however, does not necessarily imply that the soil parameter estimates shown will be ...
33
Comparative Analysis of Dispersion Parameter Estimates in Loglinear Modeling: Applied to E-Commerce Sales and Customer Data
... 6. Discussion Though the negative binomial model is more efficient and fully-defined compared to the moment method, allowing for likelihood ratio tests, moment methods are more robust to issues of extra-dispersion ...
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Genetic parameter estimates for birth and weaning weights in Raeini goats
... The data were collected from the Breeding Centre of Raeini (BCR) cashmere goats in Kerman province of Iran from 1986 to ...weight. Estimates of m 2 ranged from ...
7
Genetic parameter estimates for weaning weight and Kleiber ratio in goats
... recording data for village circumstances. Accuracy of recording data, appropriate model and precision of ana- lysis leads clearly genetic ...parameters estimates can be used for further improve- ment ...
8
The use of Kriging in stochastic model updating and its effect on parameter estimates
... Variance Data and Bootstrapping Figures 6 and 7 show the comparison of results from two different sample sizes for the two cases ...density estimates obtained by sampling from parameter densities ...
10
CiteSeerX — Sensitivity of ABR Congestion Control Algorithms to Hurst Parameter Estimates
... Hurst parameter estimators can be implemented which track non-stationarities which occur in the ...Hurst parameter when resource management algorithms are designed specifically with self-similarity in ...
12
A Comparison of Item Parameter Estimates in Pychometrik and the Existing Item Calibration Tool
... 2. Item Calibration Process 2.1. Existing Tool Built with Microsoft’s T-SQL language, the existing item calibration tool can handle the entire item calibration process from within the GRD. Calibration is manually ...
21
Genetic parameter estimates of body weight traits in Iran-Black sheep
... Safari et al. (2005) pointed out that where multiple births are relatively common, as was the case for Iran- Black sheep, partitioning maternal environmental effects into across year effect (maternal permanent ...
7
The Importance of Parameter Estimates for Stock-REIT-Bond Optimal Asset Allocation
... historical data, the results show a significant deviation from the realized returns moving ...historical data also shows that the correlations among asset classes vary considerably over time rather than ...
35
Genetic parameter estimates for feet and leg traits in Red Angus cattle
... Methods Data were obtained on 1885 cattle from August 2015 through April 2017 on purebred Red Angus cattle at operations located in the Midwestern United States by trained observers from Kansas State ...
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