Results 41 to 50 of about 41,098 (218)
Energy security is one of the major components of energy sustainability in the world’s energy performance. In this study, energy security is taken as an ordinal response variable coming from the multinomial distribution with the energy grade levels A, B,
Iyit Neslihan
doaj +1 more source
A Continuous-time Topic Model for Word Burstiness [PDF]
To solve the problem that traditional topic models based on multinomial distribution cannot properly capture the condition of word burstiness,a continuous-time topic model with Dirichlet Compound Multinomial(DCM) for word burstiness is proposed,which ...
LIU Liangxuan,HUANG Mengxing
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Discordance Between Patient and Physician Global Assessments in Early Systemic Sclerosis
Objective This study aims to identify factors associated with patient global assessment (PtGA) and physician global assessment (PhGA) and discordance between them in systemic sclerosis (SSc). Methods Data from adults with early SSc (<5 years) from the Collaborative National Quality and Efficacy Registry were included.
Ellen Romich +35 more
wiley +1 more source
Benford Behavior in Stick Fragmentation Problems
Benford’s law states that in many real-world datasets, the probability that the leading digit is d equals log10((d+1)/d) for all 1≤d≤9. We call this weak Benford behavior.
Bruce Fang +3 more
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Objective Systemic lupus erythematosus (SLE) significantly impacts employment capacity. This study aimed to investigate the impact of burden of disease activity, damage, and treatment on employment outcomes and transitions in patients with SLE. Methods Using data from a single center, we analyzed employment transitions, adjusted mean disease activity ...
Javier Mencia‐Ledo +4 more
wiley +1 more source
The Efficiency of Missing at Random Planned Missing Designs
Planned Missing Designs (PMDs) allow for different sets or patterns of variables to be collected from sample units. While the typical motivation for PMDs is to manage respondent burden, they can also reduce data collection costs and provide flexibility ...
David G. Steel, James Chipperfield
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dynoGP: Deep Gaussian Processes for Dynamic System Identification
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +3 more
wiley +1 more source
Exact Tests for Two-Way Contingency Tables with Structural Zeros
Fisher's exact test, named for Sir Ronald Aylmer Fisher, tests contingency tables for homogeneity of proportion. This paper discusses a generalization of Fisher's exact test for the case where some of the table entries are constrained to be zero.
Luke J. West, Robin K. S. Hankin
doaj
Another approach to the evaluation of a certain multivariate compound distribution
In this work, we consider the multivariate aggregate model introduced in [11], model that takes into account the case when different types of claims affect in the same time an insurance portfolio under some specific assumptions related to the number of ...
Robe-Voinea Elena-Gratiela +1 more
doaj +1 more source
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source

