Results 1 to 10 of about 272,931 (273)
Revstat Statistical Journal, 2023 The generalized Pareto distributions (GPDs) play an important role in the statistics of extremes. We point various problems with the likelihood-based inference for the index parameter α of the GPDs, and develop alternative testing strategies, which do ...
Marek Arendarczyk +2 more
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A Generalization of LASSO Modeling via Bayesian Interpretation
Austrian Journal of Statistics, 2023 The aim of this paper is to introduce a generalized LASSO regression model that is derived using a generalized Laplace (GL) distribution. Five different GL distributions are obtained through the T -R{Y } framework with quantile functions of standard ...
Gayan Warahena-Liyanage +2 more
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Monitoring Robust Estimates for Compositional Data
Austrian Journal of Statistics, 2021 In a number of recent articles Riani, Cerioli, Atkinson and others advocate the technique of monitoring robust estimates computed over a range of key parameter values.
Valentin Todorov
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Ein Interview mit Alfred Franz
Austrian Journal of Statistics, 2020 Das Interview mit Alfred Franz wurde von Norbert Rainer und Josef Richter am 11. Februar 2020 in Wien durchgeführt. Es beleuchtet die Entwicklung der Volkswirtschaftlichen Gesamtrechnung in Österreich seit 1965 und insbesondere den geänderten ...
Alfred Franz +2 more
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Austrian Journal of Statistics, 2020 Biclustering, in general, is a process of clustering genes and conditions simultaneously rather than clustering them separately. The purpose of biclustering is to discover a subset from experimental data.
Alhadi Bustamam +3 more
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Entropy Type Estimator to Simple Linear Measurement Error Models
Austrian Journal of Statistics, 2016 The classical maximum likelihood estimation fails to estimate the simple linear measurement error model, with or without equation error, unless additional assumptions are made about the structural parameters.
Amjad D. Al-Nasser
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“Plug-in” Statistical Forecasting of Vector Autoregressive Time Series with Missing Values
Austrian Journal of Statistics, 2016 The problems of statistical forecasting of vector autoregressive time series with missing values are considered. The maximum likelihood forecast is constructed and its mean square risk is evaluated for the case of known parameters. The “plug-in” forecast
Yuriy Kharin, Aliaksandr Huryn
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Austrian Journal of Statistics, 2016 With Statistics Austria’s new population register (POPREG) it is possible to display the population stock and flow for specific points in time and periods for all territorial sub-units in Austria.
Gustav Lebhart +2 more
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An Uniformly Minimum Variance Unbiased Point Estimator Using Fuzzy Observations
Austrian Journal of Statistics, 2016 This paper proposes a new method for uniformly minimum variance unbiased fuzzy point estimation. For this purpose we make use of a uniformly minimum variance unbiased estimator and we develop this new method for a fuzzy random sample ~X1,...,~Xn is ...
Mohammad Ghasem Akbari +1 more
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