Results 111 to 120 of about 674,247 (296)

Optimal Layer Reinsurance for Compound Fractional Poisson Model

Discrete Dynamics in Nature and Society, 2019
In this paper, we study the optimal retentions for an insurer with a compound fractional Poisson surplus and a layer reinsurance treaty. Under the criterion of maximizing the adjustment coefficient, the closed form expressions of the optimal results are ...
Jiesong Zhang
doaj   +1 more source

A more reliable species richness estimator based on the Gamma-Poisson model. [PDF]

PeerJ, 2023
Chiu CH.
europepmc   +1 more source

High‐Temperature Nanoindentation of Metals: Assessing Thermal Drift, Frame Compliance, and Chemical Composition Effects on the Reported Mechanical Properties

Advanced Engineering Materials, EarlyView.
Do not let thermal drift and instrument artifacts deceive high‐temperature nanoindentation results. We compare classical Oliver–Pharr and automatic image recognition analyses across steels and a Ni alloy to quantify these effects. Accounting for artifacts reveals systematic softening with temperature, while Cr and Ni additions boost resistance ...
Velislava Yonkova, Steffen Brinckmann, Ruth Schwaiger   +2 more
wiley   +1 more source

Analysis of a double Poisson model for predicting football results in Euro 2020. [PDF]

PLoS One, 2022
Penn MJ, Donnelly CA.
europepmc   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Enhancing the accuracy of modeling highly multicollinear CO2 emission data using a novel generalized Poisson Liu regression method

AIP Advances
Count data often exhibit dispersion patterns that the standard Poisson regression model struggles to handle, particularly in cases of overdispersion or underdispersion. The generalized Poisson regression model (GPRM) provides a more flexible alternative,
Ali T. Hammad, Alexis Habineza, Ahmed M. Gemeay, Fatimah A. Almulhim   +3 more
doaj   +1 more source

Spatiotemporal nonhomogeneous poisson model with a seasonal component applied to the analysis of extreme rainfall. [PDF]

J Appl Stat, 2023
Morales FEC, Rodrigues DT.
europepmc   +1 more source

Mapping Nanoscale Buckling in Atomically Thin Cr2Ge2Te6

Advanced Functional Materials, EarlyView.
Atomic‐resolution STEM is used to resolve nanoscale buckling in monolayer Cr2Ge2Te₆. A noise‐robust image analysis reconstructs three‐dimensional lattice distortions from single plan‐view images, revealing pronounced defect‐driven nm‐scale out‐of‐plane buckling.
Amy Carl, Nicholas Clark, David G. Hopkinson, Matthew Hamer, Matthew Watson, Laxman Nagireddy, James E. Nunn, Alexei Barinov, Yichao Zou, William Thornley, Casey Cheung, Wendong Wang, Sam Sullivan‐Allsop, Xiao Li, Astrid Weston, Eli G. Castanon, Andrey V Kretinin, Cephise Cacho, Neil R. Wilson, Sarah J. Haigh, Roman Gorbachev   +20 more
wiley   +1 more source

Application of a modified Poisson model in identifying factors associated with prevalence of pregnancy termination among women aged 15 - 49 years in Uganda. [PDF]

Afr Health Sci, 2022
Mwebesa E, Nakafeero M, Guwatudde D, Tumwesigye NM.   +3 more
europepmc   +1 more source

Quasi‐Static to Supersonic Energy Absorption of Nanoarchitected Tubulanes and Schwarzites

Advanced Functional Materials, EarlyView.
Nanoarchitected energy‐absorptive Tubulanes exhibit record energy absorption under quasi‐static conditions and exceptional inelastic energy dissipation under 750 m s−1 ballistics impact, with high performance spanning strain rates of 12 orders of magnitude.
Peter Serles, Alianna Maguire, Thomas Butruille, Jet Lem, Shuo Yang, Pedro Guerra Demingos, Sahar Choukir, Michel Haché, Boran Kumral, Katherine Jia, Charles Jia, Yu Zou, Chandra Veer Singh, Carlos M. Portela, Jun Lou, Pulickel M. Ajayan, Tobin Filleter   +16 more
wiley   +1 more source