Zobrazeno 1 - 10
of 23
pro vyhledávání: '"M. T. Alodat"'
Publikováno v:
Communications in Statistics - Theory and Methods. 51:6963-6977
In this paper, we study the asymptotic distribution of the plug-in kernel density estimator of the Matusita's overlapping measure. By utilizing the convergence of functional of stochastic processes...
Publikováno v:
The Computer Journal. 65:105-123
Electroencephalography (EEG) emerged as a highly relevant signal to human emotion, brain diagnosing and brain–computer interfaces (BCI) applications. In this paper, the EEG signal is used to evaluate the cognitive response of subjects during watchi
Autor:
Oliver Hayden, Khalid S. Ibrahim, Qasem Qananwah, A.M.K. Dagamseh, Hiam Alquran, M. T. Alodat
Publikováno v:
Physical and Engineering Sciences in Medicine. 43:1207-1217
The Photoplethysmogram (PPG) signal is one of the most important vital signals in biomedical applications. The non-invasive property and the convenience in the acquisition of both PPG and Piezoelectric Plethysmogram (PZPG) signals are considered as p
Autor:
Mohammad Al-Rawwash, M. T. Alodat
Publikováno v:
Communications in Statistics - Theory and Methods. 50:2674-2695
In this paper, we introduce a new distribution that allows us to skew any symmetric distribution which will be referred to as the deflation-inflation distribution (DID). We discuss some properties ...
Publikováno v:
Far East Journal of Mathematical Sciences (FJMS). 101:171-187
Autor:
Khalil Ereifej, Stan Kubow, M. T. Alodat, Peter Torley, Neveen M. Hussein, Taha Rababah, Sana Gammoh, Mohammad N. Alhamad, Muhammad H. Alu’datt
Publikováno v:
Food Hydrocolloids. 56:84-92
The study involved the investigation of the antioxidant and antihypertensive properties of the phenolic–protein complexes obtained from isolated protein fractions from Nigella damascena and Nigella arvensis. Protein fractions from flours made from
Autor:
Mohammad Al-Rawwash, M. T. Alodat
Publikováno v:
Austrian Journal of Statistics, Vol 42, Iss 3 (2016)
In this paper, we define new random processes as the pointwiseorder statistics of a set of random processes. We derive the upcrossing ratesof the order statistics processes in closed form. Also, we establish relationsbetween the average duration of t
Autor:
E. Y. Al-Momani, M. T. Alodat
Publikováno v:
Communications in Statistics - Theory and Methods. 43:4936-4961
In this article, we extend the Gaussian process for regression model by assuming a skew Gaussian process prior on the input function and a skew Gaussian white noise on the error term. Under these assumptions, the predictive density of the output func
Autor:
M. T. Alodat, Mohammad Al-Rawwash
Publikováno v:
METRON. 72:317-330
In this article, we propose a generalization to the Gaussian process regression(GPR) model called the extended skew Gaussian process for regression (ESGP) model. The ESGP model works better than the GPR model when the errors are skewed. We derive the
Autor:
Mohammad N. Alhamad, Taha Rababah, Stan Kubow, Ali Almajwal, Majdi Al-Mahasneh, Khalil Ereifej, M. T. Alodat, Sana Gammoh, Muhammad H. Alu’datt
Publikováno v:
Food chemistry. 230
This study aimed to investigate the molecular and bio-functional properties of protein fractions from Nigella damascena and Nigella arvensis, including the albumin, globulin, glutein-1, glutein-2 and prolamin fractions. Protein subunits were not obse