Results 41 to 50 of about 117,059 (160)

Multicollinearity statistics (Outer Collinearity Statistics).

, 2023
Multicollinearity statistics (Outer Collinearity Statistics).
Jiankun Gong (12293117), Jinghong Xu (106352), Dan Ji (485571)   +2 more
core   +1 more source

Non-Parametric Probability Distributions Embedded Inside of a Linear Space Provided with a Quadratic Metric

Mathematics, 2020
There exist uncertain situations in which a random event is not a measurable set, but it is a point of a linear space inside of which it is possible to study different random quantities characterized by non-parametric probability distributions.
Pierpaolo Angelini, Fabrizio Maturo
doaj   +1 more source

Collinearity analysis of StNRT members.

, 2021
(a). Collinearity analysis between different chromosomes within the potato genome. Different colors indicate different chromosomes. (b), (c), (d) and (e) showed the collinearity analysis between potato and Arabidopsis thaliana, potato and rice, potato ...
Yaping Wang (289641), Zhijun Han (11208765), Jingying Zhang (1637071), Yue Lu (214503), Yu Zhu Han (11592306), Haoran Ma (1732840), Yanfei Zhao (1392064), Jiayue Zhang (7832669)   +7 more
core   +1 more source

On the Stationarity Time of a Vehicle-to-Infrastructure Massive Radio Channel in a Line-of-Sight Suburban Environment

Sensors, 2022
Massive multiple-input multiple-output (mMIMO) communication systems are a pillar technology for 5G. However, the wireless radio channel models relying on the assumption of wide-sense stationary uncorrelated scattering (WSSUS) may not always be valid for
Nor El Islam Dahmouni, Pierre Laly, Marwan Yusuf, Gauthier Delbarre, Martine Liénard, Eric P. Simon, Davy P. Gaillot   +6 more
doaj   +1 more source

Spatial confounding in joint species distribution models

Methods in Ecology and Evolution
Joint species distribution models (JSDMs) are a popular method for analysing multivariate abundance data, with important applications such as uncovering how species communities are driven by environmental processes, model‐based ordination to visualise ...
Francis K. C. Hui, Quan Vu, Mevin B. Hooten   +2 more
doaj   +1 more source

Yield response to climate, management, and genotype: a large-scale observational analysis to identify climate-adaptive crop management practices in high-input maize systems

Environmental Research Letters, 2018
Sustaining food security under climate conditions expected for the 21st century will require that existing crop production systems simultaneously increase both productivity and resiliency to warmer and more variable climate conditions.
Elizabeth K Carter, Susan J Riha, Jeff Melkonian, Scott Steinschneider   +3 more
doaj   +1 more source

Evolutionary and functional analysis of the plant-specific NADPH oxidase gene family in Brassica rapa L. [PDF]

Royal Society Open Science, 2019
NADPH oxidases (NOXs) have been known as respiratory burst oxidase homologues (RBOHs) in plants. To characterize the evolutionary relationships and functions of RBOHs in Brassica rapa, 134 RBOH homologues were identified from 13 plant species, including ...
Dahui Li, Di Wu, Shizhou Li, Yu Dai, Yunpeng Cao   +4 more
doaj   +1 more source

Collinearity diagnostics.

, 2014
Collinearity diagnostics.
Zhihang Peng (175499), Fenyang Tang (354570), Rongbin Yu (175518), Ying Wu (19057), Minghao Zhou (197358), Feng Chen (25347), Wanwan Liu (627861), Qi Liang (322856), Changjun Bao (507486), Yefei Zhu (440677), Yuejia Cheng (507485), Wendong Liu (507488), Hongbing Shen (102791), Jianli Hu (507487)   +13 more
core   +1 more source

Spatial Variation Analysis for Measured Indoor Massive MIMO Channels

IEEE Access, 2017
As one of the most important candidate technologies for the fifth-generation wireless communication systems, massive MIMO technology has been widely studied recently because of the significant improvements it can provide in terms of spectrum efficiency ...
Qi Wang, Bo Ai, David W. Matolak, Ruisi He, Ke Guan, Zhangdui Zhong, Dapeng Li   +6 more
doaj   +1 more source

Liu Estimates and Influence Analysis in Regression Models with Stochastic Linear Restrictions and AR (1) Errors [PDF]

Journal of Sciences, Islamic Republic of Iran, 2019
In the linear regression models with AR (1) error structure when collinearity exists, stochastic linear restrictions or modifications of biased estimators (including Liu estimators) can be used to reduce the estimated variance of the regression ...
Hoda Mohammadi, Abdolrahman Rasekh
doaj   +1 more source