Results 41 to 50 of about 2,950,804 (330)

Modeling Fatigue Data of Complex Metallic Alloys Using a Generalized Student’s t-Birnbaum–Saunders Family of Lifetime Models: A Comparative Study with Applications

open access: yesCrystals
The mechanical reliability of metallic alloys under cyclic loading is crucial for optimizing their microstructure–property relationships. Understanding the statistical behavior of fatigue failure data is essential for designing alloys that endure extreme
Farouq Mohammad A. Alam   +2 more
doaj   +1 more source

Change-point detection, segmentation, and related topics [PDF]

open access: yesESAIM: Proceedings and Surveys, 2020
Recent contributions to change-point detection, segmentation and inference for non-regular models are presented. Various problems are considered including the multiple change-point estimation with adaptive penalty for time series with different ...
Bardet Jean-Marc   +4 more
doaj   +1 more source

Prevalence and Trajectory of Household Material Hardship Among Children With Advanced Cancer

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background/Objectives Families of children with advanced cancer living in poverty experience inferior outcomes including poor parent mental health and worse child quality of life. Household material hardship (HMH: food, housing, transportation, and/or utility insecurity) is a modifiable poverty exposure—and potential intervention target—that ...
Sarah Wright   +13 more
wiley   +1 more source

Extension Odd Generalized Rayleigh Inverse Rayleigh Distribution: Structure and Properties

open access: yesIbn Al-Haitham Journal for Pure and Applied Sciences
The Extension Odd Generalized Rayleigh Inverse Rayleigh (EOGRIR) distribution is a novel statistical model that leverages existing distribution families in a flexible manner. This model enhances the ability of standard distributions to analyze data.
Ali Talib Mohammed   +2 more
doaj   +1 more source

Consistency of likelihood estimation for Gibbs point processes [PDF]

open access: yes, 2016
Strong consistency of the maximum likelihood estimator (MLE) for parametric Gibbs point process models is established. The setting is very general.
Dereudre, David, Lavancier, Frédéric
core   +4 more sources

Mapping General System Characteristics to Non- Functional Requirements

open access: yes, 2010
The Function point analysis (FPA) method is the preferred scheme of estimation for project managers to determine the size, effort, schedule, resource loading and other such parameters.
Bharadwaj, A. Keshav   +1 more
core   +1 more source

Financial Burden Associated With Hospitalisation Among Families of Childhood Brain Tumours in Australia

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Families of children with cancer experience significant financial strain, even with universal healthcare. Indirect costs, such as productivity losses and non‐medical expenses, are rarely included in economic evaluations, and little is known about how effectively financial aid programmes alleviate this burden. Childhood brain tumours
Megumi Lim   +8 more
wiley   +1 more source

Failure Cause Analysis Under Progressive Type-II Censoring Using Generalized Linear Exponential Competing Risks Model with Medical and Industrial Applications

open access: yesAxioms
This study focuses on analyzing progressive Type-II right censoring competing risks datasets. The latent causes of failures are assumed to follow independent generalized linear exponential distributions.
Shafya Alhidairah   +2 more
doaj   +1 more source

Mapping the evolution of mitochondrial complex I through structural variation

open access: yesFEBS Letters, EarlyView.
Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin   +2 more
wiley   +1 more source

Deep-Learning-Based Satellite Relative Pose Estimation Using Monocular Optical Images and 3D Structural Information

open access: yesAerospace, 2022
Relative pose estimation of a satellite is an essential task for aerospace missions, such as on-orbit servicing and close proximity formation flying. However, the changeable situation makes precise relative pose estimation difficult.
Sijia Qiao   +5 more
doaj   +1 more source

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