Journal of Applied Statistics

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Journal description

Title Titel
Journal of Applied Statistics
 
e-ISSN
1360-0532
 
ISSN
0266-4763
 
Publisher Herausgeber
TAYLOR & FRANCIS LTD
 

Publications Publikationen

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Subject:  Statistics and Probability

Results 1-10 of 10 (Search time: 0.003 seconds).

PreviewAuthor(s)TitleTypeIssue Date
1Kazianka, Hannes ; Mulyk, Michael ; Pilz, Jürgen A Bayesian approach to estimating linear mixtures with unknown covariance structureArtikel Article2011
2Di Palma, M. A. ; Filzmoser, P. ; Gallo, M. ; Hron, K. A robust Parafact model for compositional dataArtikel Article 2018
3Cencic, Oliver ; Frühwirth, Rudolf Data reconciliation of nonnormal observations with nonlinear constraintsArtikel Article 2018
4Templ, M. ; Gussenbauer, J. ; Filzmoser, P. Evaluation of robust outlier detection methods for zero-inflated complex dataArtikel Article 2019
5Templ, M. ; Hron, K. ; Filzmoser, P. Exploratory Tools for Outlier Detection in Compositional Data with Structural ZerosArtikel Article 2017
6Hron, K. ; Filzmoser, P. ; Thompson, K. Linear regression with compositional explanatory variablesArtikel Article2012
7Fačevicová, K. ; Hron, K. ; Todorov, Valentin ; Guo, D. ; Templ, Matthias Logratio approach to statistical analysis of 2×2 compositional tablesArtikel Article 2014
8Chen, Jiajia ; Zhang, Xiaoqin ; Hron, Karel ; Templ, Matthias ; Li, Shengjia Regression imputation with Q-mode clustering for rounded zero replacement in high-dimensional compositional dataArtikel Article 2017
9de Sousa, J. ; Hron, K. ; Fačevicová, K. ; Filzmoser, P. Robust principal component analysis for compositional tablesArtikel Article 2021
10Templ, M. ; Filzmoser, P. Simulation and quality of a synthetic close-to-reality employer-employee populationArtikel Article2014