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Full-Text Articles in Physical Sciences and Mathematics

The Performance Of Some Biased Estimators With Different Biased Parameter In Linear Regression Model, Mustafa Nadhim Lattef, Mustafa I. Alheety Oct 2020

The Performance Of Some Biased Estimators With Different Biased Parameter In Linear Regression Model, Mustafa Nadhim Lattef, Mustafa I. Alheety

Al-Qadisiyah Journal of Pure Science

To circumvent the problem of multicollinearity, biased estimation method has been suggested to improve the precision of estimators. In this paper, we study types of biased estimators that can help to reduce the effect of multicollinearity on estimation. A simulation study is carried out to study the relative effectiveness of certain types of biased estimators in comparison to some proposed estimated ridge parameter (k) that have been shown in the literature . Moreover, a real data set has been considered to support the simulation results based on the estimated mean square error criterion.


An Investigation Of Chi-Square And Entropy Based Methods Of Item-Fit Using Item Level Contamination In Item Response Theory, William R. Dardick, Brandi A. Weiss Oct 2020

An Investigation Of Chi-Square And Entropy Based Methods Of Item-Fit Using Item Level Contamination In Item Response Theory, William R. Dardick, Brandi A. Weiss

Journal of Modern Applied Statistical Methods

New variants of entropy as measures of item-fit in item response theory are investigated. Monte Carlo simulation(s) examine aberrant conditions of item-level misfit to evaluate relative (compare EMRj, X2, G2, S-X2, and PV-Q1) and absolute (Type I error and empirical power) performance. EMRj has utility in discovering misfit.


Jmasm 53: Miccerird, Michael Lance Jul 2020

Jmasm 53: Miccerird, Michael Lance

Journal of Modern Applied Statistical Methods

Fortran 77 and 90 modules (REALPOPS.lib) exist for invoking the 8 distributions estimated by Micceri (1989). These respective modules were created by Sawilowsky et al. (1990) and Sawilowsky and Fahoome (2003). The MicceriRD (Micceri’s Real Distributions) Python package was created because Python is increasingly used for data analysis and, in some cases, Monte Carlo simulations.


Optimal Linear Moment Estimation Method For Gumbel Distribution, Yumei Zhai, Ruixing Zhao Jul 2020

Optimal Linear Moment Estimation Method For Gumbel Distribution, Yumei Zhai, Ruixing Zhao

Journal of System Simulation

Abstract: Linear moment is one of the important methods to estimate the extreme value distribution function in engineering practice. In order to improve the estimation performance for Gumbel distribution, the estimating results of twelve empirical distribution functions were simulated by using Monte Carlo method. The optimal linear moment estimation method was constructed based on the empirical distribution function with the minimum estimation error, and compared with ordinary moment, traditional linear moment and maximum likelihood method. The study shows that choosing an appropriate empirical distribution function can enhance the estimation accuracy. The optimal empirical distribution function varies depending on the sample …


Artillery Company Firepower Assignment Model And Algorithm, Xuezhi Lü, Lisheng Chang, Xianwen Wang, Xinhui Zhao Jun 2020

Artillery Company Firepower Assignment Model And Algorithm, Xuezhi Lü, Lisheng Chang, Xianwen Wang, Xinhui Zhao

Journal of System Simulation

Abstract: In view of deficiency of traditional firepower assignment method and characteristics of modern artillery, the model and algorithm of firepower assignment of artillery company were studied. The firepower assignment problem of artillery company was described, and the resolving concept was discussed. Three firepower assignment modes based on resolving concept were introduced. The idea of getting optimal solution of firepower assignment with Monte Carlo simulation and golden section search were analyzed. The model and algorithm were validated with an example.


Modeling And Simulation Of Single Lane Taxi Boarding System Based On Queuing Theory, Sun Jian, Rijia Ding, Yanyan Chen Jun 2020

Modeling And Simulation Of Single Lane Taxi Boarding System Based On Queuing Theory, Sun Jian, Rijia Ding, Yanyan Chen

Journal of System Simulation

Abstract: Taxi pick-up area was described as a queuing system based on the GPSS language to establish a simulation model, to find out a new way to improve taxi traffic capacity. Vehicle release officer and passenger release officer were represented by logic switch object, such business logic as taxi producing, taxi entering, boarding, taxi leaving could be reappeared well in computer. The time which spent on the above processes were analysed and by video data. Multi wheel simulation experiments were carried out. Quantitative analysis was executed to find out how the traffic capacity are affected by the berth quantity and …