Results 11 to 20 of about 5,523,047 (289)

Expected credit loss modeling

open access: diamondMohyla Mathematical Journal
This article proposes a method for modeling the probability of default, describes the statistical evaluation of the model, and presents a model of the software implementation algorithm. The algorithm automatically selects from the group of regression models where the models are both linear regression and various modifications of semi-logarithmic models
Svitlana Drin, Fedir Serdiuk
  +6 more sources

Municipal expected annual loss as an indicator to develop seismic risk maps in Italy [PDF]

open access: yes, 2019
This work presents a risk-targeted indicator called Municipal Expected Annual Loss (MEAL) for a quantitative estimation of the seismic risk at territorial level.
Faleschini, Flora   +4 more
core   +1 more source

Expected Loss Model

open access: yes, 2023
https://ia601404.us.archive.org/17/items/bermudan-swaption/BermudanSwaption ...
openaire   +1 more source

The expectation-based loss-averse newsvendor [PDF]

open access: yesEconomics Letters, 2013
We modify the classic single-period inventory management problem by assuming that the newsvendor is expectation-based loss averse according to Köszegi and Rabin (2006, 2007). Expectation-based loss aversion leads to an endogenous psychological cost of leftovers as well as stockouts.
openaire   +5 more sources

THRESHOLD PARAMETER OF THE EXPECTED LOSSES

open access: yesCroatian Operational Research Review, 2012
The objective of extreme value analysis is to quantify the probabilistic behavior of unusually large losses using only extreme values above some high threshold rather than using all of the data which gives better fit to tail distribution in comparison to traditional methods with assumption of normality.
Arnerić, Josip   +2 more
openaire   +6 more sources

‘They Need to Hear You Say It’: Healthcare Professionals’ Perspectives on Barriers and Enablers to End‐of‐Life Discussions With Adolescents and Young Adults With Cancer

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT End‐of‐life conversations with adolescents and young adults (AYAs) with cancer rarely occur without the guidance of healthcare professionals. As a part of the ‘Difficult Discussions’ study, focused on palliative care and advance care planning discussions with AYAs with cancer, we investigated the factors that healthcare professionals identify ...
Justine Lee   +9 more
wiley   +1 more source

On the coherence of Expected Shortfall

open access: yes, 2001
Expected Shortfall (ES) in several variants has been proposed as remedy for the defi-ciencies of Value-at-Risk (VaR) which in general is not a coherent risk measure. In fact, most definitions of ES lead to the same results when applied to continuous loss
Acerbi, Carlo, Tasche, Dirk
core   +4 more sources

Radio and X-Ray Emission as Probes of Type IIP Supernovae and Red Supergiant Mass Loss [PDF]

open access: yes, 2005
Type IIP (plateau) supernovae are thought to come from stars with initial mass about 8-25 solar masses that end their lives as red supergiants. The expected stellar end points can be found from evolutionary calculations and the corresponding mass loss ...
Chevalier, Roger A.   +2 more
core   +1 more source

Two Faces of NOTCH1 in Childhood Lymphoblastic T‐Cell Neoplasia: Prognostic Divergence of Mutational and Structural Aberrations

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT In pediatric patients, T‐cell lymphoblastic lymphoma (T‐LBL) survival exceeds 80%. Relapse remains associated with limited curative options. Frontline treatment is largely extrapolated from T‐cell acute lymphoblastic leukemia (T‐ALL) treatment, reflecting the ongoing debate, whether both entities represent distinct diseases or variants within ...
Marie C. Heider   +4 more
wiley   +1 more source

Including uncertainty of the expected mortality rates in the prediction of loss in life expectancy

open access: yesBMC Medical Research Methodology, 2023
Abstract Purpose This study introduces a novel method for estimating the variance of life expectancy since diagnosis (LEC) and loss in life expectancy (LLE) for cancer patients within a relative survival framework in situations where life tables based on the entire general population are not accessible.
Yuliya Leontyeva   +4 more
openaire   +3 more sources

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