Zobrazeno 1 - 10
of 83
pro vyhledávání: '"101029 Mathematische Statistik"'
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
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:
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
Autor:
Bettina Grün, Tatjana Miljkovic
Publikováno v:
North American Actuarial Journal. 25(4):562-579
Recent research in loss modeling resulted in a growing number of classes of statistical models as well as additional models being proposed within each class. Empirical results indicate that a range of models within or between model classes perform si
Autor:
Lukas Sablica, Kurt Hornik
Publikováno v:
R Journal. 12(1):283-299
Finite mixtures and composite distributions allow to model the probabilistic representation of data with more generality than simple distributions and are useful to consider in a wide range of applications. The R package mistr provides an extensible
Tourists bite off more than they can chew at hotel breakfast buffets. Food waste from hotel buffets means unnecessary food cost for hotels as well as an unnecessary burden on the environment. The present study measured food waste at a hotel breakfast
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f9fbd551610fe45783e80e7a5cdc2e50
https://doi.org/10.31235/osf.io/hrtdv
https://doi.org/10.31235/osf.io/hrtdv
The ideal probabilistic forecast for a random variable $Y$ based on an information set $\mathcal{F}$ is the conditional distribution of $Y$ given $\mathcal{F}$. In the context of point forecasts aiming to specify a functional $T$ such as the mean, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_____10560::5b47830207bf2e80a7732c4ce94d6dba
https://doi.org/10.1214/22-EJS2062
https://doi.org/10.1214/22-EJS2062
Publikováno v:
International Journal of Contemporary Hospitality Management. 32:1393-1411
Purpose Data-driven market segmentation is heavily used by academic tourism and hospitality researchers to create knowledge and by data analysts in tourism industry to generate market insights. The stability of market segmentation solutions across re