Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Deniz Yenigün"'
Publikováno v:
PLoS ONE, Vol 14, Iss 6, p e0218607 (2019)
Most studies on perceptions of social structures in organizations rely on cross-sectional evidence and lack a longitudinal perspective. In order to address this gap, we collected whole network perception data at three time points from a cohort of MBA
Externí odkaz:
https://doaj.org/article/739ca5efadce4f06930fdd7c580fc6fb
Autor:
Gürler, Ülkü, Deniz Yenigün, C.
Publikováno v:
In Computational Statistics and Data Analysis 2011 55(10):2856-2870
Publikováno v:
PLoS ONE
PLOS One
PLoS ONE, Vol 14, Iss 6, p e0218607 (2019)
PLOS One
PLoS ONE, Vol 14, Iss 6, p e0218607 (2019)
Most studies on perceptions of social structures in organizations rely on cross-sectional evidence and lack a longitudinal perspective. In order to address this gap, we collected whole network perception data at three time points from a cohort of MBA
Publikováno v:
Applied Stochastic Models in Business and Industry. 32:375-395
Increased consumption of fossil fuels in industrial production has led to a significant elevation in the emission of greenhouse gases and to global warming. The most effective international action against global warming is the Kyoto Protocol, which a
Cognitive Social Structure (CSS) network studies collect relational data on respondents' direct ties and their perception of ties among all other individuals in the network. When reporting their perception networks, respondents commit two types of er
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2fe672e5daf0b26294da982656609747
Autor:
Maria L. Rizzo, C. Deniz Yenigün
Publikováno v:
Journal of Statistical Computation and Simulation
In most of the regression problems the first task is to select the most influential predictors explaining the response, and removing the others from the model. These problems are usually referred to as the variable selection problems in the statistic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af37db1873167f5fe94abdd3428ce5cc
https://hdl.handle.net/11693/24125
https://hdl.handle.net/11693/24125
Publikováno v:
Social Networks
This paper introduces and tests a novel methodology for measuring networks. Rather than collecting data to observe a network or several networks in full, which is typically costly or impossible, we randomly sample a portion of individuals in the netw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c33ccfc94bb7f62244cd9bfb621bbd2
https://hdl.handle.net/11693/21319
https://hdl.handle.net/11693/21319