Results 81 to 90 of about 221,390 (304)
The Compound DGL/Erlang Distribution in the Collective Risk Model || La distribución compuesta DGL/Erlang en el modelo de riesgo colectivo [PDF]
In this paper the analysis of the collective risk model assuming Erlang loss, when the claim frequency follows the discrete generalized Lindley distribution, is considered.
Gómez Déniz, Emilio +1 more
doaj
The regulation and structure of nonlife insurance in the United States [PDF]
The insurance industry is underdeveloped in most developing countries because of low levels of income and wealth and because restrictive regulations inhibit the supply of insurance services.
Barth, Michael M., Grace, Martin F.
core
Potential for use of Al/machine learning for pharmacovigilance: Is there a role for regulators?
British Journal of Clinical Pharmacology, EarlyView.
Christina Gao +3 more
wiley +1 more source
ABSTRACT This research examines how the disclosure of production cues interacts with corporate social responsibility cues to influence social media engagement in luxury fashion. Two complementary field studies analyse marketer‐generated Facebook posts from luxury fashion brands, providing large‐scale empirical evidence of a real‐world impact on ...
Tuba Degirmenci +2 more
wiley +1 more source
Trust plays a central role in the effectiveness of work groups and teams. This is the case for both face-to-face and virtual teams. Yet little is known about the development of trust in virtual teams.
Michael D. Coovert +2 more
doaj +1 more source
A Gateway to the Future or a Mind Trapped in Anxiety? The Transformative Power of Career Resources
ABSTRACT This study explores the indirect impact of employment anxiety on university students’ perceptions of decent work through the serial mediating roles of motivational and environmental career resources. Data were collected from 458 university students in Türkiye using validated scales.
Emre Emrullah Boğazlıyan, Ahmet Ayaz
wiley +1 more source
Bootstrapping pairs in Distance-Based Regression [PDF]
Distance-based regression is a prediction method consisting of two steps: from distances between observations we obtain latent variables which, in turn, are the regressors in an ordinary least squares linear model.
Eva Boj del Val +2 more
core +1 more source
Фактори впливу на розвиток вітчизняного ринку страхування автотранспорту [PDF]
У статті розглянуто чинники впливу на сучасний стан страхування засобів автомобільного транспорту. Наведені стимулюючі та дестимулюючі фактори впливу на розвиток автотранспортного страхування.
Толстенко, О. Ю.
core
The Impact of Insurance on the Law of Torts [PDF]
An experimental study of "Model-on-Demand" (MoD) identification is made on a pilot-scale brine-water mixing tank. MoD estimation is compared against semi-physical modeling techniques using identification data generated from a systematically designed m ...
Braun, M. W. +3 more
core +2 more sources
A goodness‐of‐fit test for regression models with discrete outcomes
Abstract Regression models are often used to analyze discrete outcomes, but classical goodness‐of‐fit tests such as those based on the deviance or Pearson's statistic can be misleading or have little power in this context. To address this issue, we propose a new test, inspired by the work of Czado et al.
Lu Yang +2 more
wiley +1 more source

