Bistable Networks Enable Complex Shape Changes
Transition‐controlled metamaterials are networks of bistable mechanical memory that store local binary states and express them as global shape change. By decoupling low‐force programming from high‐force holding, a single lattice is reconfigured into distinct 2D profiles and 3D surfaces without continuous actuation, enabling reusable morphing materials ...
Sawyer Thomas, Jeffrey Lipton
wiley +1 more source
Poisson Mixed-Effects Count Regression Model Based on Double SCAD Penalty and Its Simulation Study
This paper focuses on variable selection and parameter estimation for mixed-effects Poisson count regression models. To simultaneously select important variables in both fixed effects and random effects, we propose a double-penalized Poisson count ...
Keqian Li +3 more
doaj +1 more source
A New Extension of the Generalized Half Logistic Distribution with Applications to Real Data
In this paper, we introduced a new three-parameter probability model called Poisson generalized half logistic (PoiGHL). The new model possesses an increasing, decreasing, unimodal and bathtub failure rates depending on the parameters. The relationship of
Mustapha Muhammad, Lixia Liu
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Binomial Approximation to a Poisson Random Variable
If a coin that comes up heads with probability p is tossed n times, the number of heads observed follows a binomial probability distribution. The Poisson probability distribution can be regarded as a limiting case of the binomial distribution as the ...
Boucher, Chris
core
Learning Work Function via Implicit Reasoning on Electrostatic Potential Landscapes
StructPot‐CLR establishes a cross‐modal contrastive learning framework that aligns the crystal structures of 2D materials with plane‐averaged electrostatic potential landscapes for physically informed work‐function prediction. The model achieves an MAE of 0.265 eV and an R2 of 0.902 on the held‐out test set while accurately preserving key morphological
Haoyu Wan, Yue Wu, Tianhao Su, Deng Pan
wiley +1 more source
Monte Carlo Comparison of Approximate Tolerance Intervals for the Poisson Distribution
The problem of finding tolerance intervals receives very much attention of researchers and are widely used in various statistical fields, including biometry, economics, reliability analysis and quality control.
M Naghizadeh ghomi, A Noroozi Firoze
doaj
Modeling and Performance of Bonus-Malus Systems: Stationarity versus Age-Correction
In a bonus-malus system in car insurance, the bonus class of a customer is updated from one year to the next as a function of the current class and the number of claims in the year (assumed Poisson).
Søren Asmussen
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Herbivory‐Induced Stomatal Opening Triggers the Dispersal of an Invasive Insect Herbivore
The invasive leafminer Phthorimaea absoluta uniquely manipulates plant defenses by inducing stomatal opening in tomato. This response, mediated by the stomatal regulator IQM1, enhances the release of the repellent volatile benzaldehyde. This volatile triggers the dispersal of adult moths, facilitates colonization of new hosts, and leads to rapid ...
Limin Chen +10 more
wiley +1 more source
Poisson approximation for random sums of independent binomial random variables
Let X1, ..., Xn be n independently distributed binomial random variables, each with probability P (Xi = k) = ( mi k ) pi q mi−k i for every k ∈ {0, 1, ...,mi}, where qi = 1− pi. Suppose that N is a positive integer-valued random variable and independent of Xi’s. Let SN = ∑N i=1Xi be the random sums of independent binomial random variables and Pλ denote
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POISSON APPROXIMATION FOR INDEPENDENT NEGATIVE BINOMIAL RANDOM VARIABLES [PDF]
We give a bound for the total variation distance between the distribution of a sum of independent negative binomial random variables and an appropriate Poisson distribution with mean P n=1 riqi pi , where ri and pi = 1−qi are parameters of each negative binomial distribution.
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