Results 181 to 190 of about 2,662,596 (297)

Synthesis and characterization of polymer networks obtained by conventional radical and RAFT copolymerization processes in supercritical carbon dioxide

The Canadian Journal of Chemical Engineering, EarlyView.
Conventional and RAFT dispersion copolymerizations of HEMA and EGDMA in supercritical CO2 are compared in terms of swelling index (crosslink density), morphology, particle size distribution, and modular differential scanning calorimetry. Abstract The syntheses of net‐poly((2‐hydroxyethylene methacrylate)‐co‐(ethylene glycol dimethacrylate ...
Patricia Pérez‐Salinas, Karen Mozeltzin Gómez‐Cruz, Alberto Rosas‐Aburto, Maribel Pineda‐Herrera, Humberto Vázquez‐Torres, Graeme Moad, Eduardo Vivaldo‐Lima   +6 more
wiley   +1 more source

Analyzing zero‐truncated recurrent event data by stratified regression with time‐varying coefficients

Canadian Journal of Statistics, EarlyView.
Abstract This article presents a strategy for conducting regression analysis of zero‐truncated recurrent event data. The research is partly motivated by a pediatric mental health care (PMHC) program based on administrative data. We are particularly interested in how the occurrence of an event depends on its past occurrences and the associated ...
Anqi A. Chen, X. Joan Hu, Rhonda J. Rosychuk, Leilei Zeng   +3 more
wiley   +1 more source

Extreme vulnerability to intruder attacks destabilizes network dynamics. [PDF]

Nat Commun
Nazerian A, Tangerami S, Asllani M, Phillips D, Makse H, Sorrentino F.   +5 more
europepmc   +1 more source

Nonparametric maximum likelihood estimation of the survival function using current lifetime data

Canadian Journal of Statistics, EarlyView.
Abstract An issue when estimating the failure time survival function is how to set up a prevalent cohort study infrastructure to follow subjects after enrollment. This problem can be circumvented through the well‐known Grenander density estimator using current lifetime observations only.
James H. McVittie, Masoud Asgharian
wiley   +1 more source

Maximizing mobility: Distributed controllers of a Segway swarm for autonomous navigation in smart city environments. [PDF]

PLoS One
Chand RP, Chand R, Lal K, Sharma B, Kumar SA.   +4 more
europepmc   +1 more source

Large parameter asymptotic analysis for homogeneous normalized random measures with independent increments

Canadian Journal of Statistics, EarlyView.
Abstract Homogeneous normalized random measures with independent increments represent a broad class of Bayesian nonparametric priors and thus are widely used. In this article, we obtain the strong law of large numbers, the central limit theorem (CLT), and the functional central limit theorem (fCLT) of such measures when the concentration parameter a ...
Junxi Zhang, Shui Feng, Yaozhong Hu
wiley   +1 more source

Growth curve responses of two ECC-approved genotypes to locomotor, thermal, and nutritional challenges. [PDF]

Poult Sci
Mattioli S, Zampiga M, Menchetti L, Castellini C, Dal Bosco A, Bosa L, Di Federico F, Sirri F, Petracci M, Pirrone F, Verdiglione R, Birolo M.   +11 more
europepmc   +1 more source

Extreme conditional quantile estimation for time series

Canadian Journal of Statistics, EarlyView.
Abstract We consider the estimation of an extreme conditional quantile QY(1−p|x0)$$ {Q}_Y\left(1-p|{x}_0\right) $$ for a heavy‐tailed distribution in the case of a strictly stationary time series (Xt,Yt)t∈ℤ$$ {\left({X}_t,{Y}_t\right)}_{t\in \mathbb{Z}} $$. Here, QY(·|x0)$$ {Q}_Y\left(\cdotp |{x}_0\right) $$ denotes the conditional quantile function of
Yuri Goegebeur, Armelle Guillou, Jing Qin   +2 more
wiley   +1 more source

Real-time HIL validation of a lyapunov-guaranteed optimal FOPID controller for quadrotor UAV trajectory tracking. [PDF]

Sci Rep
Elbasueny B, El-Sotouhy MM, Said E, Elsherif I, Kamel MA.   +4 more
europepmc   +1 more source

Learning sparse mixture‐of‐experts generalized linear models in ultrahigh dimensions

Canadian Journal of Statistics, EarlyView.
Abstract Motivated by the challenges of heterogeneity and high dimensionality in the analysis of modern data, we investigate continuous regularization methods for learning sparse mixture‐of‐experts generalized linear models (MoE‐GLM). Although there are foundational results about regularized estimators in a broad class of regression models including ...
Pengqi Liu, Abbas Khalili
wiley   +1 more source