A Robust Approach to Variation in Carpathian Rusyn: Resampling-Based Methods for Small Data Sets
References
- [1] Auer, P., and Hinskens, F. (1996). Convergence and Divergence of Dialects in Europe. In Sociolinguistica (10).10.1515/9783110245158.1
- [2] Woolhiser, C. (2005). Political borders and dialect divergence/convergence in Europe. P. Auer, F. Hinskens and P. Kerswill (eds.). Dialect change: Convergence and divergence in european languages. Cambridge, pages 236–262.
- [3] RStudio Team. (2020). RStudio: Integrated Development for R. RStudio, PBC, Boston, MA. Accessible at: http://www.rstudio.com/.
- [4] Magocsi, P. R. (2015). With Their Backs to the Mountains: A History of Carpathian Rus’ and Carpatho-Rusyns. Budapest.10.1515/9789633861073
- [5] H. A. Skrypnyk (ed.). (2013). Ukrajinci-Rusyny: Etnolinhvistyčni ta etnokul’turni procesy v istoryčnomu rozvytku. Kyjiv.
- [6] Boudovskaia, E. E. (2006). The morphology of Transcarpathian Ukrainian dialects. Los Angeles.
- [7] Rabus, A. (2019). Vergangenheitsbildung in gesprochenen karpatorussinischen Varietäten: Quantitativ-statistische Perspektiven. Die Welt der Slaven 69(1), pages 15–33.
- [8] Plishkova, A. (2009). Language and national identity: Rusyns south of Carpathians. Translated by Patricia A. Krafcik. With a bio-bibliographic introduction by Paul Robert Magocsi. New York (Classics of Carpatho-Rusyn scholarship, 14).
- [9] Pugh, S. M. (2009). The Rusyn language: A grammar of the literary standard of Slovakia with reference to Lemko and Subcarpathian Rusyn. München (Languages of the World/Materials, 476).
- [10] Pan’kevyč, I. (1938). Ukrajins’ki hovory Pidkarpats’koji Rusy i sumežnych oblastej. Z pryložennjam 5 dialektolohičnych map. Častyna I. Zvučnja i morfolohija. Praha.
- [11] Chambers, J. K. (2002). Patterns of Variation including Change. The Handbook of Language Variation and Change, pages 358–361.
- [12] Bates, D., Maechler, M., Bolker, B., and Walker, S. (2015). Fitting Linear Mixed-Effects Models Using lme4. Journal of Statistical Software, 67(1), pages 1–48. DOI 10.18637/jss. v067.i0.10.18637/jss.v067.i01
- [13] Hlavac, M. (2018). stargazer: Well-Formatted Regression and Summary Statistics Tables. R package version 5.2.2. Accessible at: https://CRAN.R-project.org/package=stargazer.
- [14] Elff, M. (2020). mclogit: Multinomial Logit Models, with or without Random Effects or Overdispersion. R package version 0.8.5.1. Accessible at: https://CRAN.R-project.org/package=mclogit.
- [15] Mosteller, F., and Tukey, J. W. (1968). Data analysis, including statistics. In Handbook of Social Psychology. Addison-Wesley, Reading, MA.
- [16] Efron, B. (1982). The Jackknife, the Bootstrap and Other Resampling Plans. CBSM38, SIAM, Philadelphia, Penn.10.1137/1.9781611970319
- [17] Efron, B. (1983). Estimating the error rate of a prediction rule: improvement on cross-validation. J. Am. Stat. Assoc., 78, pages 316–331.10.1080/01621459.1983.10477973
- [18] VanderWeele, T. J., and Shpitser, I. (2013). On the definition of a confounder. Annals of Statistics. 41(1), pages 196–220.10.1214/12-AOS1058
- [19] Hinneburg, A., Mannila, H., Kaislaniemi, S., Nevalainen T., and Raumolin-Brunberg, H. (2006). How to Handle Small Samples: Bootstrap and Bayesian Methods in the Analysis of Linguistic Change. Literary and Linguistic Computing 22(2), pages 137–150.10.1093/llc/fqm006
- [20] Fox, J. (2002). Bootstrapping Regression Models Appendix to An R and S-PLUS Companion to Applied Regression.
- [21] Canty, A., and Ripley, B. (2021). boot. Bootstrap R (S-Plus) Functions. R package version 1.3-25. Accessible at: https://cran.r-project.org/web/packages/boot/boot.pdf.
- [22] Lüdecke, D. (2020). _sjstats: Statistical Functions for Regression Models (Version 0.18.0). Accessible at: https://CRAN.R-project.org/package=sjstats.
- [23] Breiman, L., Friedman, J. H., Olshen, R. A., and Stone, C. J. (1984). Classification and regression trees.
- [24] Breiman L. (2001). Random forests. Machine Learning, 45(1), pages 5–32.
- [25] Liaw A., and Wiener, M. (2002). Classification and Regression by randomForest. R News 2(3), pages 18–22.
- [26] Hothorn, T., Buehlmann, P., Dudoit, S., Molinaro, A., and Van Der Laan, M. (2006). Survival Ensembles. Biostatistics, 7(3), pages 355–373.
- [27] Strobl, C., Boulesteix, A., Zeileis, A., and Hothorn, T. (2007). Bias in Random Forest Variable Importance Measures: Illustrations, Sources and a Solution. BMC Bioinformatics, 8(25). Accessible at: http://www.biomedcentral.com/1471-2105/8/25.
- [28] Strobl, C., Boulesteix, A., Kneib, T., Augustin, T. and Zeileis, A. (2008). Conditional Variable Importance for Random Forests. BMC Bioinformatics, 9(307). Accessible at: http://www.biomedcentral.com/1471-2105/9/307.
- [29] Strobl, C., Hothorn, T. and Zeileis, A. (2009). Party on! A New, Conditional Variable Importance Measure for Random Forests Available in the party Package. Department of Statistics: Technical Reports, No. 50.
- [30] Schimon, A., and Rabus, A. (2016). Wahrnehmungsdialektologische Untersuchungen zum Russinischen in Zakarpattja am Beispiel der Region Chust. Zeitschrift für Slawistik 61(3), pages 401–432.10.1515/slaw-2016-0025
Language: English
Page range: 603 - 617
Published on: Dec 30, 2021
Published by: Slovak Academy of Sciences, Mathematical Institute
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
Related subjects:
© 2021 Moulay Zaidan Lahjouji-Seppälä, Achim Rabus, published by Slovak Academy of Sciences, Mathematical Institute
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.