Search Results - normal distribution modified algorithm

Modeling The Modified Internal Rate Of Return (Mirr) For Long-Term Investment Strategy By The Assumption Of Gamma Distribution by Sayed, Amani Idris A

“…It offers greater flexibility compared to the commonly used normal distribution.…”
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Soap performance enhancement for high volume messaging / Ali Baba Dauda by Ali Baba , Dauda

“…Two messages formats, normal and compressed (modified algorithm) with the size ranging 1MB - 22 MB were generated and executed 50 times in both web services. …”
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Modifying maximum likelihood test for solving singularity and outlier problems in high dimensional cases by Hafeez, Ahmad

“…On the other hand, several shortcomings such as inconsistency under normal distribution, based on small sample size with large variables in high dimensions were discovered. …”
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Dynamic robust bootstrap method based on LTS estimators by Midi, Habshah, Uraibi, Hassan Sami, Al-Talib, Bashar Abdul Aziz Majeed

“…In order to make reliable inferences about the parameters of a model, require that the parameter estimates are normally distributed. Nevertheless, in real situations, many estimates are not normal and the use of bootstrap method is more appropriate as it does not rely on the normality assumption. …”
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Dynamic Robust Bootstrap Algorithm for Linear Model Selection Using Least Trimmed Squares by Uraibi, Hassan Sami

“…One of the important assumptions of the linear model is that the error terms are normally distributed. Unfortunately, many researchers are not aware that the performance of the OLS can be very poor when the data set that one often makes a normal assumption, has a heavy-tailed distribution which may arise as a result of the presence of outliers. …”
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Efficiency of 4253HT smoothers in extracting signal from noise and their applications in forecasting by Khairol Azmi, Nurul Nisa'

“…This is asserted by the smooth value which was close to the signal, indicating its capability to extract signal from highly fluctuating noise. The modified 4253HT using adaptive mean showed the most effective, compared to others, in extracting low, moderate and high frequency of sinusoidal signal from the noise with 10%, 25%, 50% and 75% contaminated normal distribution. …”
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Robust Kernel Density Function Estimation by Dadkhah, Kourosh

“…To do this evaluation, the mixtures of bivariate normal distribution with different percentage of contribution are simulated. …”
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An enhanced cluster head selection algorithm for routing in mobile AD-HOC network by Abdulsaheb, Ghaida Muttasher

“…The performance of ECRP algorithms was compared with other cluster based algorithms. …”
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Pemetaan Pm10 Dan Aot Menggunakan Teknik Penderiaan Jauh Di Semenanjung Malaysia by San, Limhwee

“…The developed algorithms are two-band algorithm, terma linear and modified algorithm from the combination of the visible and infrared thermal bands. …”
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Multi-objective portfolio selection with skewness preference: An application to the stock and electricity markets / Karoon Suksonghong by Karoon, Suksonghong

“…However, MV efficient portfolios may not yield superior result due to the fact that the distribution of returns to financial assets is not normal but skewed. …”
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Nonlinear three-dimensional finite elements for composite concrete beams by Kohnehpooshi, Omid

“…Therefore in this study, new interface elements have been developed,while modified constitutive law have been applied and new computational algorithm is utilised. …”
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Development Of Finite Element Codes For Shear Wall Analysis by Paknahad, Masoud

“…In this study, new elements have been developed, modified constitutive law has been proposed, new computational algorithm has been utilised. …”
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Development Of Distributed Grid-Based Hydrological Model And Floodplain Inundation Management System by Al_Fugara, A’kif Mohammed Salem

“…A physical based, distributed hydrological model was developed to route overland flows during isolated HISD storms. …”
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