Search Results - distribution model setting

Modeling loss data with composite models / Mastoureh Maghsoudi by Mastoureh , Maghsoudi

“…These models are designed by piecing together two weighted distributions at a certain threshold q. …”
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Roles of single interpolation and statistical distributions on application in air quality data sets: An overview by Norazian, Mohamed Noor, Mohd Lutfi, Zainudin

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Discovery of SIP/DRIP approach in distributed inter process communication by Hamid H., Jais J.

Heterogeneous Distributed Sensor Networks (HDSN) by Pathan, Al-Sakib Khan

“…We term this network model as Heterogeneous Distributed Sensor Network (HDSN). …”
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Application of Burrxii- Dal and Weibull-Dal Distribution: A Case Study of Rice Yield in Gujranwala and Sheikhupura Pakistan by Nawaz, Shahbaz, Md Yusof, Zahayu, Friday Zinzendoff, Okwonu

“…Conclusion: BurrXII-DAL and Weibull-DAL models are good proposed models among competitive models to the data set and can be highly effective for future analysis as both MLE values showed smaller variation as compared to other models with smaller standard errors…”
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Generalizations of Burr Type X distribution with applications by Ibrahim, Noor Akma, Khaleel, Mundher Abdullah

“…In the applications to real data sets, three sets of data are used whereby from the results we can deduce that these models can be used quite effectively in analysing lifetime data.…”
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Bayesian approach to errors-in-variables in count data regression models / Nur Aainaa Rozliman by Nur Aainaa , Rozliman

“…To remain useful in realistic situations, we utilize the Bayesian approach where the variance is estimated instead of assumed as known. We relax the distributional assumption of the exposure model by intentionally misspecifying the model with a flexible distribution. …”
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Probability models for wet spells in Peninsular Malaysia during the periods of 1940s-1976 & 1977-2004 by Sayang Mohd Deni, Jamaludin Suhaila, Abdul Aziz Jemain

“…The findings of this present study revealed that the mixed geometric distribution is the probability model found to be the most successful in representing the distribution of wet spells for both periods since all the data sets fitted the model well…”
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Parametric mixture model of three components for modelling heterogeneos survival data by Mohammed, Yusuf Abbakar

“…Model 1 is three components of parametric survival mixture model of Gamma distributions and Model 2 is three components of parametric survival mixture model of Exponential, Gamma and Weibull distributions. …”
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Performance of mixed exponential and exponential distribution representing rain cell intensity in neyman-scott rectangular pulse (NSRP) model by Yusof, Fadhilah, Mohd. Daud, Zarina, Nguyen, V-T-V, Yusop, Zulkifli

“…The model uses a flexible model fitting procedure which involves matching approximately a chosen set of historical statistics which exceeds in number of set of parameters to be estimated. …”
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Independent attacks in imperfect settings: a case for two-way quantum key distribution scheme by Shamsul Shaari, Jesni, Bahari, Iskandar

“…We review the study on a two-way quantum key distribution protocol given imperfect settings through a simple analysis of a toy model and show that it can outperform a BB84 setup. …”
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A New Statistical Model Based on the Novel Generalized Odd Beta Prime Family of Continuous Probability Distributions with Applications to Cancer Disease Data Sets by Suleiman, Ahmad Abubakar, Othman, Mahmod, Ishaq, Aliyu Ismail, Abdullah, Mohd Lazim, Indawati, Rachmah, Daud, Hanita, Sokkalingam, Rajalingam

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Loss modeling using Burr mixtures by Bakar, Shaiful Anuar Abu, Nadarajah, Saralees, Adzhar, Zahrul Azmir ABSL Kamarul

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Simulation of power quality events using simulink model by Tan R.H.G., Ramachandaramurthy V.K.

“…This paper presents a comprehensive set of Simulink models, utilizing SimPowerSystems blockset to simulate various power quality events in distribution system. …”

Exponentiated-based Burr type X distributions with censored data and covariate by Oh, Yit Leng

“…Finally, the three proposed distributions fit the two complete data sets better than various extended Burr type X distributions and their sub-models, and they are formidable rivals to all other competing distributions, including the non-nested distributions used in this study, as demonstrated in the real data applications. …”
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Span load modification via differential spoiler setting by Elsayed, Omer Ali, Asrar, Waqar, Omar, Ashraf Ali

“…The half aircraft model was tested at high lift configuration as well as at various differential spoiler settings (DSS’s). …”
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Species distribution model to predict the occurrence of Malayan partridge by Leong, Darren Chien Hsiung

“…Therefore, this study aims to produce a prediction of current and future occurrence of Malayan Partridge in Peninsular Malaysia with different models Species Distribution Model (SDM) that are Maximum Entropy Model (MaxEnt), Random Forest (RF), Support Vector Machine (SVM), Generalized Linear Model (GLM) and Bioclim. …”
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Parameter estimation and outlier detection for some types of circular model / Siti Zanariah binti Satari by Satari, Siti Zanariah

“…The von Mises distribution is the most commonly used probability distribution of a circular random variable, and the concentration of a circular data set is measured using the mean resultant length. …”
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Predictive modelling on competitor analysis performance by using generalised linear models and machine learning approach by Noryanti, Muhammad, Mohamad Nadzman, Mohd Amin, Rose Adzreen, Adnan, Nunkaw, Orasa

“…Furthermore, the synthetic data set is created by using Gamma Distribution, Gaussian Distribution and Poisson Distribution due to some data from the case study is confidential. …”
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Potential benefits of using distributed parameter model for transmission lines in power system analysis by Ahmed, S.S., Rajaratnam, M., Ahmad, H., Sidik, M.A.B.

“…This letter conducts load flow analysis of a five bus test system and repeats it for various sets of transmission line lengths, each with "lumped" and "distributed" models to compare the convergence, total transmission loss, and slack generation. …”
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