Zobrazeno 1 - 10
of 64
pro vyhledávání: '"Norou Diawara"'
Autor:
Sasanka Adikari, Norou Diawara
Publikováno v:
Stats, Vol 7, Iss 1, Pp 185-202 (2024)
Discrete choice models (DCMs) are applied in many fields and in the statistical modelling of consumer behavior. This paper focuses on a form of choice experiment, best–worst scaling in discrete choice experiments (DCEs), and the transition probabil
Externí odkaz:
https://doaj.org/article/99f59a019ae648c1978e140589ef0ab4
Publikováno v:
Mathematics, Vol 12, Iss 15, p 2419 (2024)
The study presents a comparative analysis of climate data under two scenarios: a Gaussian copula marginal regression model for count time series data and a copula-based bivariate count time series model. These models, built after comprehensive simula
Externí odkaz:
https://doaj.org/article/ab0de26d08e441289639a145eedf284b
Autor:
S. H. Sathish Indika, Norou Diawara, Hueiwang Anna Jeng, Bridget D. Giles, Dilini S. K. Gamage
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 6, Pp 10552-10569 (2023)
This study aims to use data provided by the Virginia Department of Public Health to illustrate the changes in trends of the total cases in COVID-19 since they were first recorded in the state. Each of the 93 counties in the state has its COVID-19 das
Externí odkaz:
https://doaj.org/article/485ba78728ac4325875b7b58eea9cf29
Publikováno v:
Journal of Probability and Statistics, Vol 2023 (2023)
The ability of government agencies to assign accurate ages of fish is important to fisheries management. Accurate ageing allows for most reliable age-based models to be used to support sustainability and maximize economic benefit. Assigning age relie
Externí odkaz:
https://doaj.org/article/58d8e99dff1141d59fdb717b3a7d2ab6
Autor:
Walia Farzana, Mustafa M. Basree, Norou Diawara, Zeina A. Shboul, Sagel Dubey, Marie M. Lockhart, Mohamed Hamza, Joshua D. Palmer, Khan M. Iftekharuddin
Publikováno v:
Cancers, Vol 15, Iss 18, p 4636 (2023)
Recent clinical research describes a subset of glioblastoma patients that exhibit REP prior to the start of radiation therapy. Current literature has thus far described this population using clinicopathologic features. To our knowledge, this study is
Externí odkaz:
https://doaj.org/article/eec9188ec4aa4d19b9854d24aa6f4aac
Publikováno v:
Frontiers in Medicine, Vol 8 (2021)
RNA sequencing (RNAseq) is a recent technology that profiles gene expression by measuring the relative frequency of the RNAseq reads. RNAseq read counts data is increasingly used in oncologic care and while radiology features (radiomics) have also be
Externí odkaz:
https://doaj.org/article/5a17fbe225ae4a109b6261c2010f1d9e
Publikováno v:
Frontiers in Applied Mathematics and Statistics, Vol 6 (2020)
Apraxia of speech is an impairment in the planning and programming of speech typically accompanied by aphasia (language impairment) secondary to a left hemisphere stroke. It is unknown if the structural and functional connections to the damaged area
Externí odkaz:
https://doaj.org/article/9166c2a80d004f10b6fb0936a72f2bda
Publikováno v:
Computation, Vol 9, Iss 10, p 108 (2021)
A class of bivariate integer-valued time series models was constructed via copula theory. Each series follows a Markov chain with the serial dependence captured using copula-based transition probabilities from the Poisson and the zero-inflated Poisso
Externí odkaz:
https://doaj.org/article/eae711010e4a4b4bbf738b63a64296ed
Publikováno v:
Computation, Vol 9, Iss 10, p 105 (2021)
There is a myriad of career opportunities stemming from science, technology, engineering, and mathematics (STEM) disciplines. In addition to careers in corporate settings, teaching is a viable career option for individuals pursuing degrees in STEM di
Externí odkaz:
https://doaj.org/article/9250130f8abd4cd7935630ab16b05f3c
Autor:
Anna Jeng, Hueiwang Anna Jeng, Rekha Singh, Norou Diawara, Kyle Curtis, Raul Gonzalez, Nancy Welch, Cynthia Jackson, David Jurgens, Sasanka Adikari
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56a855e897b293214c6f7e8bd5d67df9
https://doi.org/10.2139/ssrn.4377287
https://doi.org/10.2139/ssrn.4377287