Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Majid, Jafari Khaledi"'
Publikováno v:
PLoS ONE, Vol 19, Iss 1 (2024)
Externí odkaz:
https://doaj.org/article/d5394130077f46358bc853af0874168b
Publikováno v:
Heliyon, Vol 9, Iss 10, Pp e20360- (2023)
Introduction: Breast cancer (BC) is the most common cancer among women. Iranians have an 11% BC recurrence rate, which lowers their survival rates. Few studies have investigated cancer recurrence survival rates. This study's major purpose is to use a
Externí odkaz:
https://doaj.org/article/67c41e3b5e6b4bd08396a9d026c2eb90
Autor:
Masoud Faridi, Majid Jafari Khaledi
Publikováno v:
Statistical Papers. 63:571-603
This paper introduces an extension to the normal distribution through the polar method to capture bimodality and asymmetry, which are often observed characteristics of empirical data. The later two features are entirely controlled by a separate scala
Autor:
Firoozeh Rivaz, Majid Jafari Khaledi
Publikováno v:
Journal of Statistical Theory and Applications (JSTA), Vol 16, Iss 1 (2017)
This paper introduces a multivariate skew Gaussian process and uses it to extend the family of multivariate spatial generalized linear mixed models to include skew Gaussian random effects. In this setting, the param- eter estimation encounters proble
Externí odkaz:
https://doaj.org/article/da120e3cf44c49fe835748867fca2eae
Publikováno v:
Soil and Water Research, Vol 8, Iss 3, Pp 124-132 (2013)
Soil clay content (SCC) plays an essential role in the processes of infiltration, seal and crust formation, runoff, and soil erosion. The role played by SCC in water erosion has received much attention in recent years. Hence, in order to investigate
Externí odkaz:
https://doaj.org/article/cea5f8ccb1324526831c60659a235190
Autor:
Omar Dahdouh, Majid Jafari Khaledi
Publikováno v:
Communications in Statistics - Simulation and Computation. 51:4638-4657
This paper develops a Bayesian nonparametric model for skewed spatial data with nonstationary dependence structure. A transformed Gaussian model is proposed for the atoms of the kernel stick-breaki...
Publikováno v:
Journal of Spatial Science. 67:143-156
Accurate spatial modelling of forest characteristics is one of the most important challenges in remote sensing applications. In this study, we compared the ability of Multiple Linear Regression (ML...
Publikováno v:
Statistics & Probability Letters. 192:109681
For implementing an intelligent urban management, it is necessary and inevitable to know the population size in different areas of Tehran city and identify how they change over time. Population and housing census data can determine the spatio-tempora
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ee158b8570929c2c621eb0b3b714e03
https://doi.org/10.21203/rs.3.rs-958268/v1
https://doi.org/10.21203/rs.3.rs-958268/v1