Results 61 to 70 of about 1,369 (150)

Modelling of Risk Process With Expense‐Augmented Loss Under Economic Factors and Its Application to Aggregated General Insurance Data in Kenya

International Journal of Mathematics and Mathematical Sciences, Volume 2025, Issue 1, 2025.
In this paper, we reformulate the classical risk model to consider economic factors such as taxation and real force of interest. In the model, the premiums are assumed to be compounded by increasing annuities over some time. The loss process is also presumed to be two mixed stochastic processes with weights that sum to 1.
Calvine Odiwuor, Mwaniki Joseph, Ngare Philip, Simwa Richard, Nian-Sheng Tang   +4 more
wiley   +1 more source

A Convex-Dependent NHPP Software Reliability Model and Its Deep-Learning-Based Parameter Estimation

Mathematics
Many software systems currently under development exhibit numerous new types of failure due to their structural complexity. This suggests the need for research on structures capable of representing convex patterns in the fault-detection rate over time ...
Youn Su Kim, In Hong Chang, Kwang Yoon Song   +2 more
doaj   +1 more source

Seismic Response of Hectometer‐Scale Fracture Systems to Hydraulic Stimulation in the Bedretto Underground Laboratory, Switzerland

Journal of Geophysical Research: Solid Earth, Volume 129, Issue 11, November 2024.
Abstract We performed a series of hydraulic stimulations at 1.1 km depth in the Bedretto underground laboratory, Switzerland, as part of an overall research strategy attempting to understand induced seismicity on different scales. Using an ultra‐high frequency seismic network we detect seismic events as small as Mw < −4, revealing intricate details of ...
Anne Obermann, Martina Rosskopf, Virginie Durand, Katrin Plenkers, Kai Bröker, Antonio Pio Rinaldi, Nima Gholizadeh Doonechaly, Valentin Gischig, Alba Zappone, Florian Amann, Massimo Cocco, Marian Hertrich, Mohammadreza Jalali, Jonas Simon Junker, Philipp Kästli, Xiaodong Ma, Hansruedi Maurer, Men‐Andrin Meier, Miriam Schwarz, Paul Selvadurai, Linus Villiger, Stefan Wiemer, Luca Dal Zilio, Domenico Giardini   +23 more
wiley   +1 more source

A Software Reliability Model Considering the Syntax Error in Uncertainty Environment, Optimal Release Time, and Sensitivity Analysis

Applied Sciences, 2018
The goal set by software developers is to develop high quality and reliable software products. During the past decades, software has become complex, and thus, it is difficult to develop stable software products.
Da Hye Lee, In Hong Chang, Hoang Pham, Kwang Yoon Song   +3 more
doaj   +1 more source

Analysing the cost impact of failure rates for the next generation of offshore wind turbines

Wind Energy, Volume 27, Issue 7, Page 695-710, July 2024.
Abstract Offshore wind turbines have rapidly scaled up in recent years, with plans to construct turbines up to 22 MW in the next decade. However, the operations and maintenance (O&M) requirements for these ‘next‐generation turbines’ remain largely unknown.
Orla Donnelly, James Carroll, Michael Howland   +2 more
wiley   +1 more source

Non-parametric Estimation for NHPP Software Reliability Models

The non-homogeneous Poisson process (NHPP) model is a very important class of software reliability models and is widely used in software reliability engineering. NHPPs are characterized by their intensity functions.
Jinde Wang, Xue Liang, Zhiguo Wang
core   +1 more source

Statistical Analysis of Time-Varying Characteristics of Testability Index Based on NHPP

IEEE Access, 2017
The failure detection rate (FDR) is the most common testability index used to evaluate the equipment testability level. According to the testability test theory of FDR, a widespread supposition is that the FDR value of a system is an unknown constant ...
Zhiao Zhao, Yong Zhang, Guanjun Liu, Jing Qiu   +3 more
doaj   +1 more source

Aftershock probabilistic seismic hazard analysis based on enhanced Bayesian network considering frequency information

Computer-Aided Civil and Infrastructure Engineering, Volume 39, Issue 13, Page 1963-1987, 1 July 2024.
Abstract Bayesian network (BN) is an important tool in probabilistic seismic risk analysis (PSRA) due to its holistic nature and powerful probabilistic inference capabilities. However, while the information that can be stored by BN includes variable values, probability distributions, and relationships between variables, it does not involve event ...
Chang Liu, Dagang Lu
wiley   +1 more source

ON NON-HOMOGENEOUS POISSON PROCESS (NHPP) WITH LINEAR ARRIVAL RATES

This paper studies the non-homogeneous Poisson process (NHPP) with linear arrival rates as a tractable extension of the classical Poisson model. The mean value function, the inter-arrival distribution following Yakovlev et al.
Jyothirmai Mendemu, Malla Reddy Perati
core   +1 more source

Data‐driven framework for warranty claims forecasting with an application for automotive components

Engineering Reports, Volume 6, Issue 5, May 2024.
Automakers budget for considerable warranty costs, making accurate forecasting vital for financial planning and prioritizing product improvements that lead to reduced costs in future production. This paper presents a data‐driven framework for robust warranty forecasting. The framework compensates for reporting delays, heterogeneous build quality, sales
Mohammad Babakmehr, Sascha Baumanns, Abdallah Chehade, Thomas Hochkirchen, Mahdokht Kalantari, Vasiliy Krivtsov, David Schindler   +6 more
wiley   +1 more source