Publikationen

Arbeiten in referierten Zeitschriften

• Meyners, M., Carr, T., Kunert, J. (2023): Equivalence and non-inferiority tests using replicated discrimination and preference data. Journal of Sensory Studies 38.
• Neumann, C., Kunert, J. (2021): On MSE-optimal circular crossover designs. Journal of Statistical Theory and Practice 15.
• Singh, R., Kunert, J. (2021): Efficient crossover designs for non-regular settings. Metrika 84, 497 - 510.
• Kunert, J., Mielke, J. (2021): Efficient designs for the estimation of mixed and self carryover effects. Statistica Sinica 31, 1081 - 1099.
• Kalhoff, H., Schmidt, I.V., Heindl, I., Kunert, J., Kersting, M. (2021): Feeding frozen complementary foods promotes food acceptance in infants: The randomized intervention trial Baby Gourmet. Nutrition Research 87, 49 - 56.
• Singh, R., Kunert, J., Stufken, J. (2021): On optimal fMRI designs for correlated errors. Journal of Statistical Planning and Inference 212, 84 - 96.
• Mutwill, A.M., Zimmermann, T.D., Reuland, C., Fuchs, S., Kunert, J., Richter, S.H., Kaiser, S., Sachser, N. (2019): High Reproductive Success Despite Queuing -- Socio-Sexual Developement of Males in a Complex Social Environment. Frontiers in Psychology 10, 2810
• Kästner, N., Richter, S.H., Urbanik, S., Kunert, J., Waider, J., Lesch, K.-P., Kaiser, S., Sachser, N. (2019): Brain serotonin deficiency affects female aggression. Scientific Reports 9, Article number: 1366.
• Neumann, C., Kunert, J. (2018): On MSE-optimal crossover designs. Annals of Statistics 46, 2939 - 2959.
• Bailey, R.A., Cameron, P.J., Filipiak, K., Kunert, J., Markiewicz, A. (2017): On optimality and construction of circular repeated-measurements designs. Statistica Sinica 27, 1 - 22.
• Bludowsky, A., Kunert, J., Stufken, J. (2015): Optimal designs for the carryover model with random interactions between subjects and treatments. Australian and New Zealand Journal of Statistics 57, 517 - 533.
• Wilk, A., Kunert, J. (2015): Optimal crossover designs in a model with self and mixed carryover effects with correlated errors. Metrika 78, 161 - 174.
• Dette, H., Kunert, J. (2014): Optimal Designs for the Michaelis Menten Model with Correlated Observations. Statistics 48, 1254 - 1267.
• Alexy, U., Schaefer, A., Sailer, O., Busch-Stockfisch, M., Huthmacher, S., Kunert, J., Kersting, M. (2011): Sensory preferences and discrimination ability of children in relation to their body weight status. Journal of Sensory Studies 26, 409 - 412.
• Kunert, J., Mersmann, S. (2011): A-optimal designs for treatment-control comparisons in microarray experiments with random block effects. Journal of Statistical Theory and Practice 5, 69 - 79.
• Kunert, J., Mersmann, S. (2011): Optimal designs for an interference model. Journal of Statistical Planning and Inference 141, 1623 - 1632.
• Kunert, J., Martin, R.J., Eccleston, J. (2010): Optimal block designs comparing treatments with a control when the errors are correlated. Journal of Statistical Planning and Inference 140, 2719 - 2738.
• Richter, S. H., Garner, J. P., Auer, C., Kunert, J., Würbel, H. (2010): Systematic variation improves reproducibility of animal experiments. Nature Methods 7, 167 - 168.
• Alexy, U., Schaefer, A., Sailer, O., Busch-Stockfisch, M., Reinehr, T., Kunert, J., Kersting, M. (2010): Sensory preferences and discrimination ability of children before and after an obesity intervention. International Journal of Pediatric Obesity 5, 116 - 119.
• Gieland, A., Busch-Stockfisch, M., Kersting, M., Hilbig, A., Kunert, J., Sailer, O. (2009): Ernährungshistorie und sensorische Präferenzen im Vorschulalter. Ernährungs Umschau 10/09, 560 - 564.
• Kunert, J., Stufken, J. (2008): Optimal crossover designs for two treatments in the presence of mixed and self carryover effects. Journal of the American Statistical Association 103, 1641 - 1647.
• Dette, H., Kunert, J. Pepelysheff, A. (2008): Exact optimal designs for weighted least squares analysis with correlated errors. Statistica Sinica 18, 135 - 154.
• Henkenjohann, N., Kunert, J. (2007): An efficient sequential optimization approach based on the multivariate expected improvement criterion. Quality Engineering 19, 267 - 280.
• Holland-Letz, T., Endres, H.G., Biedermann, S., Mahn, M., Kunert, J., Groh, S., Pittrow, D., von Bildering, P., Sternitzky, R., Diehm, C. (2007): Reproducibility and reliability of the ankle-brachial index as assessed by vascular experts, family physicians and nurses. Vascular Medicine 12, 105 - 112.
• Kunert, J., Sailer, O. (2007): Randomization of neighbour balanced generalized Youden designs. Journal of Statistical Planning and Inference 137, 2045 - 2055.
• Kunert, J., Auer, C., Erdbrügge, M., Ewers, R. (2007): An experiment to compare Taguchi's product array and the combined array. Journal of Quality Technology 39, 17 - 34.
• Bailey, R.A., Kunert, J. (2006): On optimal cross-over designs when carry-over effects are proportional to direct effects. Biometrika 93, 613 - 625.
• Adekeye, K., Kunert, J. (2006): On the Comparison of Run Orders of Unreplicated 2^k-p-designs in the presence of a time trend. Metrika 63, 257 - 269.
• Auer, C., Kunert, J. (2006): On A Heuristic Analysis of Highly Fractionated 2ⁿ Factorial Experiments. Metrika 63, 43 - 54.
• Kunert, J., Sailer, O. (2006): On Nearly Balanced Designs for Sensory Trials. Food Quality and Preference 17, 219 - 227.
• Marin-Galiano, M., Kunert, J. (2006): Comparison of ANOVA with the Tobit Model for Analysing Sensory Data. Food Quality and Preference 17, 209 - 218.
• Henkenjohann, N. Göbel, R., Kleiner, M., Kunert, J. (2005): An Adaptive Sequential Procedure for Efficent Optimization of the Sheet Metal Spinning Process. Quality and Reliability Engineering International 21, 439 - 455.
• Chen, Y., Kunert, J. (2004): A New Quantitative Method for Analysing Unreplicated Factorial Designs. Biometrical Journal 46, 125 - 140.
• Kunert, J., Martin, R.J., Pooladsaz, S. (2003): Optimal designs under two related models for interference. Metrika 57, 137 - 143.
• Lachnit, M., Busch-Stockfisch, M., Kunert, J., Krahl, T. (2003): Suitability of Free Choice Profiling for the assessment of orange-based carbonated soft-drinks. Food Quality and Preference 14, 257 - 263.
• Kunert, J. (2002): Statistical Methods to Examine Differences in the Rating of Soft-Drinks Among Different Groups of Consumers. Food Quality and Preference 13, 555 - 559.
• Kunert, J., Stufken, J. (2002): Optimal crossover designs in a model with self and mixed carryover effects. Journal of the American Statistical Association 97, 898 - 906.
• Bernstein, D.M., Riego Sintes, J.M., Ersboell, B.K., Kunert, J. (2001): Biopersistence of Synthetic Mineral Fibers as a Predictor of Chronic Inhalation Toxicity in Rats. Inhalation Toxicology 13, 823 - 849.
• Bernstein, D.M., Riego Sintes, J.M., Ersboell, B.K., Kunert, J. (2001): Biopersistence of Synthetic Mineral Fibers as a Predictor of Chronic Intraperitoneal Injection Tumour Response in Rats. Inhalation Toxicology 13, 851 - 875.
• Kunert, J. (2001): On repeated difference testing. Food Quality and Preference 12, 385 - 391.
• Kunert, J., Montag, A., Pöhlmann, S. (2001): The Quincunx: History and Mathematics. Statistical Papers 42, 143 - 169.
• Kunert, J., Martin R.J. (2000): On the determination of optimal designs for an interference model. Annals of Statistics 28, 1728 – 1742.
• Wameling, A., Schäper, M., Kunert, J., Blaszkewicz, M., van Thriel, C., Zupanic, M., Seeber, A. (2000): Individual Toluene Exposure in Rotogravure Printing: Increasing Accuracy of Estimation by Linear Models Based on Protocols of Daily Activities and Other Measures. Biometrics 56, 1218 - 1221.
• Voss, B., Kunert, J., Dahms, S., Weiss, H. (2000): A Multinomial Model for the Quality Control of Colony Counting Procedures. Biometrical Journal 42, 263 - 278.
• Kunert, J. (2000): Randomization of Neighbour Balanced Designs. Biometrical Journal 42 , 111 - 118.
• Kunert, J. (2000): Workshop on the Statistical Analysis of Sensory Profiling Data: Randomization / Permutation / ANOVA. Food Quality and Preference 11, 141 - 143.
• Meyners, M., Kunert, J., Qannari, E.M. (2000): Comparing Generalized Procrustes Analysis and STATIS. Food Quality and Preference 11, 77 - 83.
• Kunert, J., Martin, R.J. (2000): Optimality of Type I Orthogonal Arrays for Crossover Models with Correlated Errors. Journal of Statistical Planning and Inference 87, 119 - 124.
• Kunert, J., Meyners, M. (1999): On the Triangle Test with Replications. Food Quality and Preference 10, 477 - 482.
• Kunert, J., Qannari, E.M. (1999): A simple alternative to Generalised Procrustes Analysis. Application to sensory profiling.  Journal of Sensory Studies 14, 197 - 208.
• Kunert, J. (1998): Sensory Experiments as Crossover Studies.  Food Quality and Preference 9, 243 - 253.
• Kunert, J. (1998): On the analysis of circular balanced crossover designs.  Journal of Statistical Planning and Inference 69, 359 - 370.
• Kunert, J. (1997): Use of the factor sparsity assumption to get an estimate of variance in industrial experiments with many factors. Technometrics 39,  81 – 90.
• Kunert, J., Lehmkuhl, F., Schleppe, A. (1995): Ein statistisches Experiment mit Sch ülern auf Bevorzugung von Erfrischungsgetränken.  Stochastik in der Schule 15, Issue 3, 23 - 42.
• Kunert, J. (1994): Optimality of block designs with variable block sizes and random block effects.  Metrika 41, 71 – 81.
• Kunert, J. (1993): A note on optimal designs with a non-orthogonal row-column structure.  Journal of Statistical Planning and Inference 37, 265 - 270.
• Kunert, J., Utzig, P. (1993): Estimation of variance in cross-over designs. Journal of the Royal Statistical Society B 55, 919 - 927.
• Jones, B., Kunert, J., Wynn, H.P. (1992): Information matrices for mixed effects models with applications to the optimality of repeated measurements designs.  Journal of  Statistical Planning and Inference 33, 261 - 274.
• Kunert, J. (1991): Cross-over designs for two treatments and correlated errors. Biometrika 78, 315 - 324.
• Bailey, R.A., Kunert, J., Martin, R.J. (1991): Some comments on gerechte designs. II Randomization Analysis and other methods that allow for inter-plot dependence.  Journal of Agronomy & Crop Science 166, 101 - 111.
• Bailey, R.A., Kunert, J., Martin, R.J. (1990): Some comments on gerechte designs. I Analysis for uncorrelated errors.  Journal of Agronomy & Crop Science 165, 121 - 130.
• Kunert, J. (1990): On the power of tests for multiple comparison of three normal means.  Journal of the American Statistical Association 85, 808 - 812.
• Finner, H., Kunert, J., Sonnemann, E. (1989): Über die Berechnung des Wirkungsgrades von Pflanzenschutzmitteln. Nachrichtenbl. Deut. Pflanzenschutzd. 41, 145 - 149.
• Kunert, J. (1987): On variance estimation in crossover designs. Biometrics 43, 833 - 845.
• Kunert, J., Martin, R.J. (1987): On the optimality of finite Williams II(a) designs.  Annals of Statistics 15, 1604 – 1628.
• Kunert, J., Martin, R.J. (1987): Some results on optimal design under a first-order autoregression and on finite Williams II(a) designs. Commun. Statist. - Theory & Methods 16, 1901 - 1922.
• Kunert, J. (1987): Neighbour balanced block designs for correlated errors.  Biometrika 74, 717 - 724.
• Kunert, J. (1987): An example of universal optimality in a full-rank model.  Metrika 34, 217 - 223.
• Kunert, J. (1985): Optimal experimental design when the errors are assumed to be correlated.  Statistics and Decisions, Supplement 2, 287 - 298.
• Kunert, J. (1985): Optimal repeated measurements designs for correlated observations and analysis by weighted least squares. Biometrika 72, 375 - 389.
• Kunert, J. (1984):  Designs balanced for circular residual effects. Commun. Statist. - Theory & Methods 13, 2665 - 2671.
• Kunert, J. (1984): Optimality of balanced uniform repeated measurements designs. Annals of Statistics 12, 1006 - 1017.
• Kunert, J. (1983): Optimal design and refinement of the linear model with applications to repeated measurements designs. Annals of Statistics 11, 247 – 257.

Sonstige Veröffentlichungen

• Hopp, W., Kirschner, T., Kunert, J. (2019): Die frühen Kälberverluste in Milchkuh- und Mutterkuhbetrieben. Tierärztliche Umschau 74, 288 - 291.
• Kunert, J. (2012): Discussion of a paper by Gilmour and Trinca. Applied Statistics 61, 386 - 387.
• Kunert, J., Wilk, A. (2011): Unreplicated fractional factorials, analysis with the half-normal plot and randomization of the run order. In: Optimal Design of Experiments -Theory and Application. Proceedings of the International Conference in Honour of the late Jagdish Srivastava, 72 - 82
• Wenzel, S., Straatmann, S., Kwiatkowski, L., Schmelzer, P., Kunert, J. (2010): A Novel Multi-Objective Target Value Optimization Approach. In: Classification as a Tool for Research, (Editoren: Locarek-Junge, H. und Weihs, C.), Springer, Heidelberg, 801 - 809.
• Homberg, W., Beerwald, Ch., Hornjak, D., Rostek, T., Pröbsting, A., Kunert, J., Wilk, A. (2009): Incremental Forming of Tubes and Sheets Assisted by Friction-Induced Heating. In: Functionally Graded Materials in Industrial Mass Production, Steinhoff, K., Maier, H.-J., Biermann, D. (Hrg.), Verlag Wissenschaftliche Scripten, Auerbach, 129 - 137.
• Kunert, J., Homberg, W., Auer, C., Hornjak, D., Wilk, A. (2009): Thermal Assisted Incremental Forming of Tubes and Sheets with Process-Integrated Heat Generation - Statistical Contributions -. In: Functionally Graded Materials in Industrial Mass Production, Steinhoff, K., Maier, H.-J., Biermann, D. (Hrg.), Verlag Wissenschaftliche Scripten, Auerbach, 139 - 144.
• Morell, O., Bernholt, T., Fried, R. Kunert, J., Nunkesser, R. (2008): An Evolutionary Algorithm for LTS-Regression: A Comparative Study, In: COMPSTAT 2008: Proceedings in Computational Statistics. Vol. II (Contributed Papers), Brito, M.P. (Hrg.), Physika-Verlag, Heidelberg, 585 - 593.
• Kunert, J., Martin, R.J., Rothe, S. (2008): Optimal Designs for Treatment-Control Comparisons in Microarray Experiments. In: Statistical Inference, Econometric Analysis and Matrix Algebra. Festschrift in Honour of Götz Trenkler, Schipp, B. und Krämer, W. (Hrg.), Physica Verlag Heidelberg, 115 - 124.
• Kunert, J. (2007): Randomization in Experimental Designs. In: Encyclopedia of Statistics in Quality and Reliability , Ruggieri, F., Kenett, R. and Faltin, F.W. (eds.) John Wiley and Sons Ltd., Chichester, UK, 1559 - 1563.
• Sahmer, K., Vigneau, E., Qannari, E.M., Kunert, J. (2005): Clustering of variables with missing data: application to preference studies. In:  Classification - the Ubiquituous Challenge, C. Weihs, W. Gaul (Hrg.), Springer, 208 - 215. 
• Meyners, M., Kunert, J. (2003): Statistik in der Sensorik - Multivariate Verfahren. In:  Praxishandbuch Sensorik in der Produktentwicklung und Qualitätssicherung , M. Busch-Stockfisch (Hrg.), Behr's Verlag, VI.2, pp. 1 - 58.
• Meyners, M., Kunert, J. (2002): Statistik in der Sensorik - Univariate Verfahren. In: Praxishandbuch Sensorik in der Produktentwicklung und Qualitätssicherung , M. Busch-Stockfisch (Hrg.), Behr's Verlag, VI.1, pp. 1 - 43.
• Kunert, J., Meyners, M., Erdbrügge, M. (2002): On the applicability of ANOVA for the analysis of sensory data. 7e Journées européennes agro-industrie et méthodes statistiques , Société  Française de Statistique (Hrg.), 129 - 134.
• Göbel, R., Erdbrügge, M., Kunert, J., Kleiner, M. (2001): Multivariate optimisation of the metal spinning process in consideration of categorical quality characteristics. In: ENBIS conference in Oslo, 17 - 18 September 2001, CD-rom.
• Erdbrügge, M., Göbel, R., Kleiner, M., Kunert, J. (2001): Optimales Drücken. Statistische Versuchsplanung bei qualitativen Zielgrößen. Qualität und Zuverlässigkeit 46, 1180 - 1183.
• Kunert, J., Montag, A., Pöhlmann, S. (2001): Das Galtonbrett und die Glockenkurve.  Infografiken, Medien, Normalisierung: Zur Kartografie politisch-sozialer Landschaften. U. Gerhard, J. Link, E. Schulte-Holtey (Hrg.), Synchron Verlag, 25 – 53.
• Kunert, J. (2001): Interference designs with circular structure. Mathematical Statistics with Applications in Biometry. J. Kunert, G. Trenkler  (Hrg.), Eul Verlag, 355 - 368.
• Kunert, J. (2000): Permutation tests and randomization in sensory experiments. 6e Journées européennes agro-industrie et méthodes statistiques , Société Française de Statistique (Hrg.), 1.1 - 1.9.
• Kunert, J., Lehmkuhl, F. (1998): The generalized ß - method in Taguchi experiments.  MODA 5 - Advances in Model-Oriented Data Analysis. A.C. Atkinson, L. Pronzato, H.P. Wynn (Hrg.), Physica Verlag, 223 - 230.
• Toutenburg, H., Gössl, R., Kunert, J. (1998):  Quality Engineering. Eine Einführung in Taguchi-Methoden. 254 Seiten, Prentice Hall.
• Kunert, J. (1995): Über den Nutzen der Statistischen Versuchsplanung. Datenanalyse mit modernen Methoden der Stochastik. Ergebnisse eines Expertengespräches am 21. und 22. September 1995 in Düsseldorf . VDI Technologiezentrum Physikalische Technologien (Hrg.), 64 - 69.
• Kunert, J. (1995): Einige  Überlegungen zur Versuchsplanung und zur Schätzung des experimentellen Fehlers. Informationsgewinnung aus Meßdaten. 6. Arbeitsgespräch der Fachgruppe Physik / Informatik / Informationstechnik . H. Hofmann, D. Richter, Ch. Zeidler (Hrg.), 112 – 123.
• Kunert, J. (1994): Vergleich von Varianzschätzern bei nicht wiederholten Faktorplänen. Grazer Mathematische Berichte 324, 105 - 113.
• Elster, C., Honerkamp, J., Hönig, A., Kunert, J. (1994): Statistische Analyse eines mikromechanischen Materialmodells. Qualität und Zuverlässigkeit 39, 1387 - 1391.
• Kunert, J., Weipert, D. (1993): Cross-validation as a means to determine the number of regressors. Practical Models for Relationships between Data Sets . FLAIR SENS Project Vol. 2 No 3, 69 – 73.
• Kunert, J. 1993): On designs with a non-orthogonal row-column structure.  Model Oriented Data Analysis . W.G. Müller, H.P. Wynn und A.A. Zhigljavsky (Hrg.), Physica Verlag, 105 - 112.
• Kunert, J. (1990): Zusammenhang: Randomisation und Auswertung.  Agrarinformatik, Vol. 18: Referate des Symposium  über EDV-Anwendungen und Biometrie in der Phytomedizin in Hohenheim März 1990. H. Bleiholder (Hrg.), Ulmer, 15 - 29.
• Wynn, H.P., Chaloner, K., Kunert, J. (1990): Discussion of a paper by R. Mead. Journ. Royal Statist. Soc. A 153, 186.
• Kunert, J. (1988): Considerations on optimal designs for correlations in the plane. Optimal Design and Analysis of Experiments. Y. Dodge, V.V. Fedorov und H.P. Wynn (Hrg.), North Holland, 123 - 131.
• Kunert, J. (1987): Optimal block designs for correlated observations.  Model-oriented data analysis. V.V. Fedorov und H. Läuter (Hrg.), Springer, 44 - 52.
• Kunert, J., Sonnemann, E. (1984): Zweifachblockpläne mit Nachbarschaftsstrukturen. Strukturen und Prozesse. Neue Ansätze in der Biometrie.  R. Repges und Th. Tolxdorf (Hrg.), Springer, 45 - 72.