Zobrazeno 1 - 10
of 242
pro vyhledávání: '"101018 Statistics"'
Autor:
Franz Greimel, Bettina Grün, Daniel S. Hayes, Norbert Höller, Julia Haider, Bernhard Zeiringer, Patrick Holzapfel, Christoph Hauer, Stefan Schmutz
Publikováno v:
River Research and Applications. 39:326-339
Publikováno v:
Econometrics and Statistics. 22:124-135
The new model class of mixtures of generalised nonlinear models (GNMs) is introduced. The model is specified, identifiability issues discussed, the fitting in a maximum likelihood framework using the expectation-maximisation (EM) algorithm outlined a
Autor:
Bettina Grün, Gertraud Malsiner‐Walli
Publikováno v:
Wiley StatsRef: Statistics Reference Online. :1-19
Autor:
Sofie R. Waltl, Robin Chakraborty
Publikováno v:
Journal of Economic Inequality. 20:169-203
Wealth aggregates implied by the Household Finance and Consumption Survey (HFCS) usually yield much lower amounts than macroeconomic statistics reported in the National Accounts. An important source of this gap may be the under-representation of the
Autor:
Daniela Ehrlich, Andreas Dunzinger, Gertraud Malsiner-Walli, Bettina Grün, Raffi Topakian, Marina Hodolic, Elmar Kainz, Robert Pichler
Publikováno v:
Radiology and Oncology. 56(1):23-31
Background Beta amyloid (Aβ) causes synaptic dysfunction leading to neuronal death. It is still controversial if the magnitude of Aβ deposition correlates with the degree of cognitive impairment. Diagnostic imaging may lead to a better understandin
Autor:
Sofie R. Waltl
Publikováno v:
Review of Income and Wealth. 68(1):74-108
This article proposes a practically feasible framework for compiling Multidimensional Distributional National Accounts (MDINAs) serving two functions: a comprehensive measure of (components of) net worth and their distribution, and a link to macroeco
Publikováno v:
Advances in Data Analysis and Classification. 16:325-349
In model-based clustering, the Galaxy data set is often used as a benchmark data set to study the performance of different modeling approaches. Aitkin (Stat Model 1:287–304) compares maximum likelihood and Bayesian analyses of the Galaxy data set a
Publikováno v:
Journal of Computational and Graphical Statistics. 30:1156-1167
Proximity scaling methods such as Multidimensional Scaling (MDS) represent objects in a low dimensional configuration so that fitted object distances optimally approximate object proximities. Besides finding the optimal configuration, an additional g
Publikováno v:
International Journal of Market Research. 63:125-133
Survey data quality suffers when respondents have difficulty completing complex tasks in questionnaires. Cognitive load theory informed the development of strategies for educators to reduce the cognitive load of learning tasks. We investigate whether
Autor:
Tobias Fissler, Johanna F. Ziegel
Publikováno v:
Fissler, Tobias; Ziegel, Johanna F. (2021). On the elicitability of Range Value at Risk. Statistics & risk modeling, 38(1-2), pp. 25-46. De Gruyter 10.1515/strm-2020-0037
The debate of which quantitative risk measure to choose in practice has mainly focused on the dichotomy between value at risk (VaR) and expected shortfall (ES). Range value at risk (RVaR) is a natural interpolation between VaR and ES, constituting a