Publications

 

Working papers

Steland, A. (2021). Consistency of extreme learning machines and regression under non-stationarity and dependence for ML-enhanced moving objects. Preprint on arxiv.

 

Steland, A. and Pieters, Barth. E. (2021). Cross-Validation and Uncertainty Quantification for Randomized Neural Networks with Applications to Mobile Sensors. Preprint on arxiv. 

 

Published papers

  • Deitsch, S., Buerhop-Lutz, C., Sovetkin, E., Steland, A., Gallwitz, F., Meier, A. and Riess, C. (2021). Segmentation of photovoltaic module cells in electroluminescence images. Machine Vision and Applications, Vol. 32, Article 84, Download.
  • Sovetkin, E. & Steland, A. (2019). Automatic processing and solar cell detection in photovoltaic electroluminescence images. Integrated Computer-Aided Engineering, Vol. 26(2), 123-137. Download.
  • Sommer, A. & Steland, A. (2019c). Multistage Acceptance Sampling under Nonparametric Dependent Sampling Designs. Journal of Statistical Planning and Inference, 199, 89-113.
  • Fischer, G., Hupach, U., Schmauder, J., Sepanski, A., Sommer, A., Steland, A. & Vaaßen, W. (2018b). Failure assessments of PV systems demonstrate the importance of elective quality assurance. PV-Tech Power, 14, 70-81.
  • Steland A. (2017). Fusing photovoltaic data for improved confidence intervals. AIMS Energy, 5,1, 125-148. Download.
  • Pepelyshev A., Sovetkin, E. and Steland, A. (2017). Panel-based stratified cluster sampling and analysis for photovoltaic outdoor measurements. Applied Stochastic Models in Business and Industry, 33, 1, 35-53, OpenAccess.
  • Prause, A. and Steland A. (2015). Detecting changes in spatial-temporal image data based on quadratic forms, In: Stochastic Models, Statistics and Their Applications, Eds. Steland A., Szajowski K. and Rafajlowicz E.
  • Steland, A. (2015). Sampling Plans for Control-Inspection Schemes Under Independent and Dependent Sampling Designs with Applications to Photovoltaics, In: Frontiers in Statistical Quality Control, Eds. Schmid W. and Knoth S., Vol. 11, arXiv, Download
  • Pepelyshev, A., Steland, A. and Avellan-Hampe, A. (2014). Acceptance sampling plans for photovoltaic modules with two-sided specifications. Progress in Photovoltaics, Vol. 22(6), 603-611.
  • Pepelyshev, A., Rafajlowicz, E. and Steland, A. (2013). Estimation of the quantile function using Bernstein-Durrmeyer polynomials. Journal of Nonparametric Statistics, Vol. 145, 45-73.
  • Steland, A. (2012). Sequential data-adaptive bandwidth selection by cross-validation. Communications in Statistics, Vol. 41, 7, 1195-1219 Download
  • Golyandina N., Pepelyshev A. and Steland A. (2012). New approaches to nonparametric density estimation and selection of smoothing parameters. Computational Statistics and Data Analysis, Vol. 56, 7, 2208-2218.
  • Meisen S., Pepelyshev A. and Steland A. (2012). Quality assessment in the presence of additional data. In: Frontiers in Statistical Quality Control, Eds. Lenz H.J. et al., Vol. 10. Download
  • Akram A., Padmanabhan P. and Steland A. (2011). Resampling methods for the nonparametric and generalized Behrens-Fisher problems. Sankhya Series A, Vol. 73, 2, 267-302. Download
  • Herrmann, W., Steland, A. (2010). Evaluation of Photovoltaic Modules Based on Sampling Inspection Using Smoothed Empirical Quantiles [ DOI: 10.1002/pip.926]. Progress in Photovoltaics, 18 (1), 1-9. Download
  • Herrmann, W., Steland, A. & Herff, W. (2010). Sampling Procedures for the Validation of PV Module Output Specifcation [DOI: 10.4229/24thEUPVSEC2009-4AV.3.70]. Proceedings of the 24th European Photovoltaic Solar Energy Conference, Hamburg, Germany, ISBN 3-936338-25-6, 3540-3547. Download
  • Steland, A., Zähle, H. (2009). Sampling inspection by variables: nonparametric setting. Statistica Neerlandica, 63 (1), 101-123. Download
  • Herrmann, W., Althaus, J., Steland, A. & Zähle, H. (2006). Statistical and experimental methods for assessing the power output specification of PV modules. Proceedings of the 21st European Photovoltaic Solar Energy Conference, 2416-2420. Download