Survival analysis of faculty retention and promotion in the social sciences by gender
JM Box-Steffensmeier, RC Cunha, RA Varbanov… - PloS one, 2015 - journals.plos.org
Background Recruitment and retention of talent is central to the research performance of
universities. Existing research shows that, while men are more likely than women to be …
universities. Existing research shows that, while men are more likely than women to be …
Wavelet-Based Bayesian Approaches to Sequential Profile Monitoring
R Varbanov - 2018 - diginole.lib.fsu.edu
We consider change-point detection and estimation in sequences of functional observations.
This setting often arises when the quality of a process is characterized by such observations…
This setting often arises when the quality of a process is characterized by such observations…
A Bayesian approach to sequential monitoring of nonlinear profiles using wavelets
R Varbanov, E Chicken, A Linero… - Quality and Reliability …, 2019 - Wiley Online Library
We consider change‐point detection and estimation in sequences of functional observations.
This setting often arises when the quality of a process is characterized by such …
This setting often arises when the quality of a process is characterized by such …
Cross-validated wavelet block thresholding for non-Gaussian errors
K McGinnity, R Varbanov, E Chicken - Computational Statistics & Data …, 2017 - Elsevier
Wavelet thresholding generally assumes independent, identically distributed normal errors
when estimating functions in a nonparametric regression setting. VisuShrink and SureShrink …
when estimating functions in a nonparametric regression setting. VisuShrink and SureShrink …
Wavelet-based Bayesian profile monitoring
R Varbanov, E Chicken, A Linero… - IIE Annual Conference …, 2017 - search.proquest.com
The quality of certain processes over time can be characterized by a sequence of functional
profiles. Effective monitoring of such processes requires timely detection of changes in the …
profiles. Effective monitoring of such processes requires timely detection of changes in the …
Computationally efficient Bayesian sequential function monitoring
W Shamp, R Varbanov, E Chicken… - Journal of Quality …, 2021 - Taylor & Francis
In functional sequential process monitoring, a process is characterized by sequences of
observations called profiles which are monitored over time for stability. The goal is to halt a …
observations called profiles which are monitored over time for stability. The goal is to halt a …
Applications Of The Byod Conception–Benefits, Risks And Approaches
R Varbanov - Бизнес управление, 2014 - ceeol.com
Mobile devices have dramatically changed perceptions regarding the work of employees
and the dimensions of modern business. The popularity of the concept of BYOD (Bring Your …
and the dimensions of modern business. The popularity of the concept of BYOD (Bring Your …
Distance learning course on business on the Internet: some implementation issues
K Stefanov, B Lomev, S Varbanov, R Nikolov - 1998 - research.uni-sofia.bg
This paper describes an experiment of a distance learning course on Business on the Internet
delivery using the World-Wide-Web (WWW). Special attention is paid to the opportunities …
delivery using the World-Wide-Web (WWW). Special attention is paid to the opportunities …
[HTML][HTML] Distance Learning Course Business on the Internet: Implementation Issues
K Stefanov, B Lomev, S Varbanov, R Nikolov - docsbay.net
This paper describes an experiment of a distance learning course on Business on the Internet
delivery using the World-Wide-Web (WWW). Special attention is paid to the opportunities …
delivery using the World-Wide-Web (WWW). Special attention is paid to the opportunities …
Not a leaky pipeline! Academic success is a game of chutes and ladders
https://doi. org/10.1017/S1049096521000081 Published online by Cambridge University
Press marginally participated in the movement toward gender parity in academia. Because …
Press marginally participated in the movement toward gender parity in academia. Because …