Selected Peer Reviewed Publications

  • Beisemann, M., Forthmann, B., Bürkner, P. C., & Holling, H. (in press). Psychometric evaluation of an alternate scoring for the Remote Associates Test. Journal of Creative Behavior.
  • Bürkner P. C., Schwabe S., & Holling H. (in press). Optimal Designs for the Generalized Partial Credit Model. British Journal of Mathematical and Statistical Psychology.
  • Bürkner, P. C., Schulte, N., & Holling, H. (in review). On the statistical and practical limitations of Thurstonian IRT models. PsyArXiv preprint.
  • Sangnawakij, P., Böhning, D. Niwitpong, S., Adams, S., Stanton, M. & Holling, H. (in press). Meta-Analysis without study-specific variance information: Heterogeneity case. Statistical Modelling.
  • Wilken, A., Forthmann, B., & Holling, H. (in press). Instructions moderate the relationship between creative performance in figural divergent thinking and reasoning capacity. Journal of Creative Behavior. doi: 10.1002/jocb.392
  • Williams D. R., Philippe Rast, & Bürkner P. C. (in review). Bayesian Meta-Analysis with Weakly Informative Prior Distributions. PsyArXiv preprint.

  • Blum, D. & Holling, H. (2018). Automatic generation of figural analogies with the IMak package. Frontiers in psychology, 9(1286), 1-13.
  • Bürkner P. C. (2018). Advanced Bayesian Multilevel Modeling with the R Package brms. The R Journa
  • Forthmann, B., Szardenings, C. & Holling, H. (2018). Understanding the confounding effect of fluency in divergent thinking scores: Revisiting average scores to quantify artifactual correlation.  Psychology of Aesthetics, Creativity, and the Arts. doi: 10.1037/aca0000196
  • Forthmann, B., Çelik, P., Holling, H., Storme, M., & Lubart, T. (2018). Item response modeling of divergent-thinking tasks: A comparison of Rasch’s Poisson model with a two-dimensional model extension. International Journal of Creativity and Problem Solving, 28(2), 83-95.
  • Forthmann, B., Lips, C., Szardenings, C., Scharfen, J., & Holling, H. (2018). Are speedy brains needed when divergent thinking is speeded - or unspeeded? Journal of Creative Behavior. doi: 10.1002/jocb.350
  • Forthmann, B., Regehr, S., Seidel, J., Holling, H., Çelik, P., Storme, M., & Lubart, T. (2018). Revisiting the interactive effect of multicultural experiences and openness to experience on divergent thinking. International Journal of Intercultural Relations, 63, 135-143. doi: 10.1016/j.ijintrel.2017.10.002
  • Forthmann, B., Oyebade, O., Ojo, A., Günther, F. & Holling. H. (2018). Application of latent semantic analysis to divergent thinking is biased by elaboration. Journal of Creative Behavior. doi: 10.1002/jocb.240.
  • Freise, F., Holling, H. \& Schwabe (2018).Optimal designs for two-level main effects models on a restricted design region. arXiv:1808.06901 [math.ST]
  • Graßhoff, U, Holling, H. \& Schwabe (2018). D-optimal design for the Rasch counts model with multiple binary predictors. arXiv:1810.03893 [stat.ME]
  • Holling, H. (2018). Contribution to the discussion of “When should meta‐analysis avoid making hidden normality assumptions?” Biometrical Journal, 60(6):1091-1093.
  • Holling, H., Böhning, W., Masoudi, E, Böhning, D. & Sangnawakij, P. (2018). Evaluation of a new version of I2 with emphasis on diagnostic problems. Communications in Statistics - Simulation and Computation. doi: 10.1080/03610918.2018.1489553
  • Reinhold M., Bürkner P. C., Holling H. (2018). Effects of Expressive Writing on Depressive Symptoms – A Meta-Analysis. Clinical Psychology: Science and Practice.
  • Scharfen, J., Jansen, K., & Holling H. (2018). Retest effects in working memory capacity tests: a meta-analysis. Psychonomic Bulletin & Review.
  • Scharfen, J., Blum, D., & Holling, H. (2018). Response time reduction due to retesting in mental speed tests: a meta-analysis. Journal of intelligence, 6, 1-28.
  • Scharfen, J., Peters, J. M. & Holling, H. (2018). Retest Effects in Cognitive Ability Tests: A Meta-Analysis. Intelligence, 67, 44-66. https://doi.org/10.1016/j.intell.2018.01.003.
  • Sangnawakij, P., Böhning, D. Niwitpong, S., Adams, S., Stanton, M. & Holling, H. (2018). Meta-Analysis without study-specific variance information: Heterogeneity case. Statistical Methods in medical Research.
  • Szardeinings, C. A., Kuhn, J.-T., Ranger, J. & Holling, H. (2018). A Diffusion Model Analysis of Magnitude Comparison in Children with and without Dyscalculia: Care of Response and Ability Are Related to Both Mathematical Achievement and Stimuli, Frontiers in Psychologie. doi:org/10.3389/fpsyg.2017.01615.
  • Thielsch, M. T., Brinkmöller, B., & Forthmann, B. (2018). Reasons for responding in student evaluation of teaching. Studies in Educational Evaluation, 56, 189-196. doi:10.1016/j.stueduc.2017.11.088.

  • Benda N., Bürkner P. C., Freise F., Holling H., & Schwabe R. (2017). Adaptive Designs for Quantal Dose-Response Experiments with False Answers. Journal of Statistical Theory and Practice, 11, 361-374.
  • Blum, D. Holling, H. (2017). Spearman's Law of Diminishing Returns. A meta-analysiss. Intelligence, 65, 60-66.
  • Bürkner P. C., Bittner N., Holling H., & Buhlmann U. (2017). D-Cycloserine Augmentation of Behavior Therapy for Anxiety and Obsessive-Compulsive Disorders: A Meta-Analysis. PLOS ONE 12(3)  doi: 10.137.
  • Bürkner P. C., Williams D. R., Simmons T. C., & Woolley J. D. (2017). Intranasal oxytocin may improve high-level social cognition in schizophrenia, but not social cognition or neurocognition in general: a multi-level Bayesian meta-analysis. Schizophrenia Bulletin, 43, 6, 1291-1303.
  • Carlsson, R., Schimmack, U., Williams, D.R., Bürkner, P.C. (2017). Bayes factors from pooled data are no substitute for (Bayesian) meta-analysis. Psychological Science 10.1177.
  • Forthmann, B., Holling, H., Çelik, P., Storme, M., & Lubart, T. (2017). Typing speed as a confounding variable and the measurement of quality in divergent thinking. Creativity Research Journal, 29, 257-269.
  • Hodzic, S., Scharfen, J., Ripoll, P., Holling, H., & Zenasni, F. (2017). How efficient are emotional intelligence trainings: a meta-analysis. Emotion Review, 1-11, https://doi.org./10.1177/1754073917708613.
  • Johnen, A., Landmeyer, N.C., Bürkner,  P.-C., Wiendl, H., Meuth, S.G., & Holling, H. (2017). Distinct cognitive impairments in different disease courses of multiple sclerosis – A systematic review and meta-analysis. Neuroscience & Biobehavioral Reviews, 83, 568-578.
  • Ngamjarus, C., Chongsuvivatwong, V.,  McNeil, E. & Holling, H. (2017). Enhancement of learning on sample size calculation with a smartphone application: a cluster-randomized controlled trial. The Southeast Asian Journal of Tropical Medicine and Public Health, 48, 240-252.

  • Raddatz, J., Kuhn, J.-T., Holling, H., Dobel, C. (2017). Comorbidity of Arithmetic and Reading Disorder: Basic Number Processing and Calculation in Chrildren With Learning Impairments. Journal of Learning Disabilities, 50, 3, 298-308.

  • Ranger, J., Kuhn, J.-T., Szardenings, C. (2017). Analysing model fit of psychometric process models: A overview, a new test and an application to the diffusion model. British Journal of Mathematical and Statistical Psychology, 2017, 238-256.

  • Schwenk, C., Kuhn, J.-T., Gühne, D., Doebler, P. & Holling, H. (2017). Auf Goldmünzenjagd: Psychometrische Kennwerte verschiedener Scoringansätze bei computergestützter Lernverlaufsdiagnostik im Bereich Mathematik. Empirische Sonderpädagogik, 9, 123–142

  • Schwenk, C., Sasanguie, D., Kuhn, J.-T., Kempe, S., Doebler, P., & Holling, H.(2017).(Non-)symbolic magnitude processing in children with mathematical difficulties: a meta-analysis. Research in Developmental Disabilities, 165, 152-167.

  • Storme, M., Çelik, P., Camargo, A., Forthmann, B., Holling, H., & Lubart, T. (2017) The effect of forced language switching during divergent thinking: A study on bilinguals' originality of ideas. Frontiers in Psychology: Cognition.doi: 10.3389/fpsyg.2017.02086.

  • Williams D. R. & Bürkner P. C. (2017). Data extraction and statistical errors: A quantitative critique of Gumley et al. (2014). British Journal of Clinical Psychology, 56, 208-211.

  • Williams D. R. & Bürkner P. C. (2017). Effects of intranasal oxytocin on symptoms of schizophrenia: A multivariate Bayesian meta-analysis. Psychoneuroendocrinology, 75, 141-151.


  • Blum, D., Holling, H., Galibert, M.S., & Forthmann, B. (2016). Task difficulty prediction of figural analogies. Intelligence, 56, 72-81.
  • Böhning, D., Rocchetti,I., Alfó, M., & Holling H. (2016). A flexible ratio regression approach for zero-truncated capture-recapture counts. Biometrics, 72, 3, 697-706.
  • Borg, I., Dobewall, H.,  Aavik, T. (2016). Personal values and their structure under universal and lexical approaches. Personality and Individual Differences, doi.org/10.1016/j.paid.2016.02.071.                                                                                                  
  • Bürkner P. C. (2016). brms: An R Package for Bayesian Multilevel Models using Stan. Journal of Statistical Software 10, 11, 591-613.

  • Bürkner P. C., Doebler P., & Holling H. (2016). Optimal design of the Wilcoxon-Mann-Whitney-test. Biometrical Journal, 59, 25-40.

  • Çelik, P., Storme, M., & Forthmann, B. (2016). A new perspective on the link between multiculturalism and creativity: The relationship between core value diversity and divergent thinking. Learning and Individual Differences, 52, 188-196.

  • Doebel, C., Dehmelt, V., Schwenk, C., Kuhn, J.-T. (2016). Neurophysiological correlates of numerosity training in children wirh dyscalculia. ijpsycho, DOI: 10.1016/j.psycho.2016.07.03.                                                                                 

  • Forthmann, B., Wilken, A., Doebler, P., & Holling, H. (2016) Strategy induction enhances creativity in figural divergent thinking. Journal of Creative Behavior. doi: 10.1002/jocb.159.

  • Forthmann, B., Holling, H., Zandi, N., Gerwig, A., Çelik, P., Storme, M., & Lubart, T. (2016). Missing creativity: The effect of cognitive workload on rater (dis-)agreement in subjective divergent-thinking scores. Thinking Skills and Creativity, 23, 129-139.

  • Forthmann, B., Gerwig, A., Holling, H., Celik, P., Storme, M., & Lubart, T. (2016). The Be-Creative Effect in Divergent Thinking: The Interplay of Instructions and Objekt Frequency. Intelligence, 57, 25-32.

  • Gold, B., Kuhn, J.-T. (2016). A longitudinal study on the stability of selfestimated intelligence and its relationship to personality traits. Personality and Individual Differences, 106, 292-297.

  • Graßhoff, U., Holling, H., & Schwabe,R. (2016). Optimal Desingn for the Rasch Poisson-Gamma Model. In Kunert, J., Müller,C., Atkinson, A. (Eds.). Advances in Model-Oriented Desing and Analysis DOI: 10.1007/978-3-319-31266-8_16.
  • Holling, H., & Schwabe, R. (2016). Statistical Optimal Design Theory. In W. J. van der Linden & R. K. Hambleton (Eds.), Handbook of Item Response Theory, 2, 313-339.

  • Kuhn, J.-T., Ise, E., Raddatz, J., Schwenk, C., & Dobel, C. (2016). Basic numerical processing, calculation, and working memory in children with dyscalculia and/or ADHD symptoms. Zeitschrift für Kinder- und Jugendpsychiatrie und Psychotherapie, 44, 365-375.
  • Masoudi, E., Holling, H., & Wong, W. K.  (2016). Application of imperialist competitive algorithm to find minimax and standardized maximin optimal designs. Computational Statistics & Data Analysis, 113, 330-345.
  • Ranger, J., Kuhn, J.-T., Aavik, T. (2016). A mixture proportional hazards model with random effects for response times in tests. Educational and Psychological Measurement, 2016, 76, 4, 562-586.

  • Stein, A., Wunderlich, R., Lau, P. ,Engell, A., Wollbrink, A., Shaykevich, A., Kuhn, J.-T., Holling, H., Rudack, C., Pantev, C. (2016). Clinical trial on tonal tinnitus with tailor-made notched music training. BMX Neurologyy, 16, 1-17.
  • Williams D. R. & Bürkner P. C. (2016). Coding errors lead to unsupported conclusions: A critique of Hofmann et al. (2015).


  • Alavash, M., Doebler, P., Holling, H., Thiel, C. M., & Gießing, C. (2015). Is functional integration of resting state brain networks an unspecific biomarker für working memory performance? NeuroImage, 108, 182-193.

  • Biehler M., Doebler P., & Holling H. (2015). Saddlepoint approximations of the distribution of the person parameter in the two parameter logistic model. Psychometrika, 80, 665-688.

  • Blum, D., Holling, H., Galibert, M.S., & Forthmann, B. (2016). Task difficulty prediction of figural analogies. Intelligence , 56, 72-81.

  • Chodura, S., Kuhn, J.-T., Holling, H. (2015). Interventions for children with mathematical difficulties: A Meta-Analysis. Zeitschrift für Psychologie, 223, 129-144.

  • Doebler A., & Holling, H. (2015). A processing speed test based on rule-based item generation: An analysis with the Rasch Poisson Counts model. Learning and Individual Differences 2016, 52, 121-128.

  • Doebler, P., & Holling, H. (2015). Meta-analysis of diagnostic accuracy and ROC curves with covariate adjusted semiparametric mixtures. Psychometrika, 1084-1104.

  • Graßhoff, U., Holling, H., & Schwabe, R. (2015). Poisson model with three binary predictors: When are saturated designs optimal? (Stocastic Models, Statistics and Their Applications). In A. Steland, E. Rafajlowicz & K. Szajkowski (Eds.), Stochastic Models, Statistics and Their Applications. 75-82, Cham: Springer.

  • Holling. H., Böhning, W., & Böhning, D. (2015). The covariate-adjusted frequency plot for the Rasch Poisson counts model. Thailand Statistician, 13, 1, 67-78.

  • Kuhn, J.-T. (2015). Controlled attention and storage: An investigation of the relationship between working memory, short-term memory, scope of attention, and intelligence in chrildren. Learning and Individual Differences ,52, 167-177.

  •  Kuhn, J.-T. 2015). Developmental dyscalculia: Causes, characteristics, and interventions (Editorial). Zeitschrift für Psychologie, 223, 2, 67-68.
  • Kuhn, J.-T. (2015). Developmental Dyscalculia: Neurobiological, Cognitive, and Developmental Perspectives. Zeitschrift für Psychologie, 223, 2, 69-82.

  • Kuhn, J.-T. (2015). Editorial. Zeitschrift für Psychologie, 223, 2.

  • Kuhn, J.-K., Ranger, J. (2015). Measuring Speed, Ability, or Motivation: A Comment on Goldhammer. Measurement Interdisciplinary Research and Perspectives, 13, 173-176.

  • Ranger, J., & Kuhn, J.-T. (2015). Assessing person fit with the information matrix test. Methodology, 11, 3-12.

  • Ranger, J., & Kuhn, J.-T. (2015). Modeling information accumulation in psychological tests using item response times. Journal of Educational and Behavioral Statistics, 40, 274-306.

  • Ranger, J., Kuhn, J.-T., Szardenings, C. (2015). Limited information estimation of the diffusion based item response theory model for responses and response times. British Journal of Mathematical and Statistical Psychology, 69, 2, 122-138.

  • Ranger, J., Kuhn, J.-.T., & Gaviria, J.-L. (2015).  A race model for responses and response times in tests. Psychometrika, 80, 791-810.

  • Ranger, J., Kuhn, J.-T. (2015). A mixture proportional hazards model with random effects for response times in tests. Educational and Psychological Measurement, 76, 4, 562-586.


  • Bürkner, P.C., & Doebler, P. (2014). Testing for Publication Bias in Diagnostic Meta-Analysis: A simulation Study. Statistics in Medicine, 33, 3061-3077.

  • Charoensawat, S., Böhning, W., Böhning, D., & Holling, H. (2014). Meta-analysis and meta-modelling for diagnostic problems. BMC Medical Research Methodolody, https://doi.org/10.1186/1471-2288-14-56.

  • Doebler, P., Doebler, A., & Holling, H. (2014). A latent ability model for count data and an application to processing speed. Applied Psychological Measurement, 38, 587-598.

  • Kuhn, J.-T., & Holling H. (2014). Number Sense or working memory? The effect of two computer-based trainings on mathematical skills in elementary school. Advances in Cognitive Psychology, 10, 59-67.

  • Ranger, J., Kuhn, J.-T. (2014). Testing fit of latent trait models for responses and reponse times in tests. Psychological Test and Assessment Modeling , 56, 382-404.

  • Ranger, J., Kuhn, J.-T., Gaviria, J.-L. (2014). A race model for responses and response times in tests. Psychometrika, 80, 791-810.

  • Ranger, J., Kuhn, J.-T. (2014). Assessing person fit with the information matrix test. Methodology, 11, 1, 3-12.

  • Sangnawakij, P., Böhning, D., Adams, S, Stanton, M. & Holling, H. (2014). Statistical methodology for estimating the mean difference in a meta-analysis without study-specific variance information. Statistics in Medicine. doi: 10.1002/sim.7232.


  • Doebler P. (2013). Rado’s Conjecture implies that all stationary set preserving forcings are semiproper. Journal of Mathematical Logic, 13,1.

  • Doebler, A., Doebler, P., & Holling, H. (2013). Optimal and Most Exact Confidence Intervals for Person Parameters in Item Response Theory Models. Psychometrika, 78, 1, 98-115.

  • Doebler P., & Schindler R. (2013). The extender algebra and vagaries of Σ12 absoluteness. Münster Journal of Mathematics, 6, 117-166.

  • Graßhoff U., Holling, H., & Schwabe, R. (2013). Optimal design for count data with binary predictors in item response theory. Advances in Model-Oriented Designs and Analysis, 117-124.

  • Graßhoff, U., Holling, H., & Schwabe, R. (2013). Optimal design for count data with binary predictors in item response theory. In D. Ucinski, A. C. Atkinson & M. Patan (Eds.) 10-Adcances in Model-Oriented Design and Analysis, 117-124, Heidelberg: Physica.

  • Holling, H., Böhning, W., Böhning, D., & Formann, A. K. (2013). The Covariate-Adjusted Frequency Plot. Statistical Methods in Medical Research, 25, 2, 902-916.

  • Holling, H. & Schwabe, R. (2013) An introduction to optimal design. Zeitschrift für Psychologie, 221, 3, 124-144.

  • Kuhn, J.-T. & Kiefer, T. (2013). Optimal test assembly in practice: The design of the Austrian educational standards assessment in mathematics. Zeitschrift für Psychologie, 221, 190-200.

  • Kuhn, J.-T., Raddatz, J., Holling, H., & Dobel, C. (2013). Dyskalkulie vs. Rechenschwäche: Basisnumerische Verarbeitung in der Grundschule. Lernen und Lernstörungen, 2, 229-247.

  • Ranger, J., & Kuhn, J.-T. (2013). Analyzing response times in tests with rank correlation approaches. Journal of Educational and Behavioral Statistics, 38, 61-80.

  • Ranger, J., & Kuhn, J.-T. (2013). An accumulator model for responses and response times in tests based on the proportional hazards model. British Journal of Mathematical and Statistical Psychology ,67, 3, 388-407.

  • Skodzik, T., Holling, H., & Pedersen, A. (2013). Long-term memory performance in adult ADHD - a Meta-Analysis. Journal of Attention Disorders. Online publication. 


  • Doebler, A. (2012). The Problem of Bias in Person Parameter Estimation in Adaptive Testing. Applied Psychological Measurement, 36, 4, 255-270.

  • Doebler, P., Holling, H., & Böhning, D. (2012). A Mixed Model Approach to Meta-Analysis of Dignostic Studies with Binary Test Outcome. Psychological Methods, 17, 418-436.

  • Graßhoff, U., Doebler, A., Holling, H., & Schwabe, R. (2012). Optimal design for linear regression models in the presence of heteroscedasticity caused by rendom coefficients. Journal of Statistical Planning and Inference ,142, 1108-1113.

  • Graßhoff, U., Großmann, H., Holling, H., & Schwabe, R. (2012). Optimal Design for Descrete Choice Experiments. Journal of Statistical Planning and Inference ,143, 167-175.

  • Graßhoff, U., Holling, H., & Schwabe, R. (2012). Optimal design for the Rasch model. Psychometrika, 77, 710-723.

  • Holling, H., & Böhning, W., & Böhning, D. (2012). Likelihood Based Clustering of Meta-Analytic SROC Curves. Psychometrika, 77, 106-126.

  • Holling, H., Böhning, W., & Böhning, D. (2012). Meta-analysis of diagnostic studies based upon SROC-curves: A mixed model approach using the Lehmann family. Statistical Modelling - An International Journal, 12, 4, 347.

  • Holling, H., & Schwabe, R. (2012). Discussion of the paper Optimum design of experiments for statistical inference by Gilmour, S. G. and Trinca, L. A. Journal of the Royal Statistical Society, Series C (Applied Statistics), 61, 385.

  • Niwitpong, S., Böhning, D., van der Heijden, P. G. H., & Holling, H. (2012). Capture-Recapture Estimation Based Upon the Geometric Distribution allowing for Heterogenity. Metrika, 76, 4, 495-519.

  • Ranger, J., & Kuhn, J.-T. (2012). Assessing fit of item response models using the information matrix test. Journal of Educational Measurement, 49, 247-268.

  • Ranger, J., & Kuhn, J.-T. (2012). A flexible latent trait model for response times in tests. Psychometrika, 77, 31-47.

  • Ranger, J., & Kuhn, J.-T. (2012). Improving IRT model calibration by considering response times in psychological tests. Applied Psychological Measurement, 36, 214-131.

  • Ranger, J., & Kuhn, J.-T. (2012). A flexible latent trait model for response times in tests. Psychometrika, 77, 31-47. 


  • Böhning, D., Holling, H., & Pantilea, V. (2011). A limitation of the diagnostic-odds ratio in determining an optimal cut-off value for a continuous diagnostic test. Statistical Methods in Medical Research, 20, 541-550.

  • Doebler, A. (2011). Punktschätzung [Point estimation]. In H. Holling & B. Schmitz (Hrsg.), Handbuch der Psychologischen Methoden und Evaluation. Göttingen: Hogrefe.

  • Freund, P. A. & Holling, H. (2011). Who wants to take an intelligence test? Personality and achievement motivation in the context of ability testing. Personality and Individual Differences, 50, 723-728.

  • Freund, P. A., & Holling, H. (2011). How to get really smart: Modeling retest and training effects in ability testing using computer-generated figural matrix items. Intelligence, 39, 233-243.

  • Freund, P. A., & Holling, H. (2011). Retest effects in matrix test performance: Differential impact of predictors at different hierarchy levels in an educational setting. Learning and Individual Differences, 21, 597-601.

  • Freund, P. A., Kuhn, J.-T., & Holling, H. (2011). Measuring current achievement motivation with the QCM: Short form development and investigation of measurement invariance. Personality and Individual Differences, 51, 629-634.

  • Holling, H., & Schwabe, R. (2011). The usefulness of Bayesian optimal designs for descrete choice experimentes by Roselinde Kessels, Bradley Jones, Peter Goos and Martina Vandebroek. Applied Stochastic Models in Business and Industry, 27, 189-192.

  • Ranger, J., Kuhn, J.-T. (2011).  A flexible latent trait model for response times in tests. Psychometrika ,77, 1, 31-47.

  • Vock, M., Preckel, F., & Holling, H. (2011). Mental abilities and school achievement: A Test of a mediation hypothesis. Intelligence, 39, 357-369.

  • Zeuch, N., Holling, H., & Kuhn, J.-T. (2011). Analysis of the Latin Square Task with linear logistic test models. Learning and Individual Differences, 21, 629-632. 


 Books

  • Holling, H., & Gediga, G. (2015) Statistik - Testverfahren [Statistics-Tests]. Göttingen: Hogerefe.

  • Holling, H., & Gediga, G. (2013). Statistik - Wahrscheinlichkeitstheorie und Schätzverfahren. [Statistics - Probability theory and estimation methods]. Göttingen: Hogrefe.

  • Holling, H., & Gediga, G. (2011). Statistik-Deskriptive Verfahren [Descriptive statistical methods]. Göttingen: Hogrefe.