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Publikationsliste

Buchkapitel (Sortieren nach: Erscheinungsdatum | Titel)
Gather, U., Kamps, U. & Schweitzer, N. (1998). Characterizations of distributions via identically distributed functions of order statistics. In: N. Balakrishnan & R.C. Rao (Hrsg.), Handbook of Statistics, Vol. 16, Order Statistics and Their Applications (S.257-290). Amsterdam: Elsevier.
Kamps, U. (1998). Characterizations of distributions by recurrence relations and identities for moments of order statistics. In: N. Balakrishnan & C.R. Rao (Hrsg.), Handbook of Statistics, Vol. 16, Order Statistics and Their Applications (S.291-311). Amsterdam: Elsevier.
Cramer, E. & Kamps, U. (1998). Maximum likelihood estimation with different sequential k-out-of-n systems. In: W. Kahle et al. (Hrsg.), Advances in Stochastic Models for Reliability, Quality and Safety (S.101-111). Boston: Birkhäuser.
Cramer, E. & Kamps, U. (2001). Sequential k-out-of-n systems. In: N. Balakrishnan & C.R. Rao (Hrsg.), Handbook of Statistics, Vol. 20, Advances in Reliability (S.301-372). Amsterdam: Elsevier.
Cramer, E. & Kamps, U. (2005). Characterization of the exponential distribution by conditional expectations of generalized spacings. In: N. Balakrishnan, I.G. Bairamov & O.L. Gebizlioglu (Hrsg.), Advances on Models, Characterizations, and Applications (S.83-96). Boca Raton: Taylor&Francis.
Burkschat, M., Cramer, E. & Kamps, U. (2007). Linear Estimation of Location and Scale Parameters Based on Generalized Order Statistics from Generalized Pareto Distributions. In: M. Ahansullah & M. Raqab (Hrsg.), Recent Developments in Ordered Random Variables (S.253-262). Hauppauge: Nova Science.
Beutner, E. & Kamps, U. (2008). Models of ordered data and products of beta random variables. In: B.C. Arnold, N. Balakrishnan, J.M. Sarabia & R. Mínguez (Hrsg.), Advances in Mathematical and Statistical Modeling (S.101-106). Boston: Birkhäuser.
Kateri, M., Kamps, U. & Balakrishnan, N. (2011). Step-stress testing with multiple samples: The exponential case. In: N. Balakrishnan (Hrsg.), Methods and Applications of Statistics in Engineering, Quality Control, and the Physical Sciences (S.644-665). Hoboken: Wiley.
Burkschat, M., Kamps, U. & Kateri, M. (2015). Estimation in a model of sequential order statistics with ordered hazard rates. In: P. Choudhary, C. Nagaraja & H.K.T. Ng (Hrsg.), Ordered Data Analysis, Models and Health Research Methods (S.105-119). New York: Springer.
Bücher (Sortieren nach: Erscheinungsdatum | Titel)
Kamps, U. (1995). A Concept of Generalized Order Statistics (210 Seiten). Stuttgart: Teubner.
Cramer, E., Cramer, K., Kamps, U. & Zuckschwerdt, C. (2004). Beschreibende Statistik: Interaktive Grafiken (mit Software Download) (130 Seiten). Heidelberg: Springer.
Kamps, U., Cramer, E., Strauer, D. & Herff, W. (2005). Prüfungsvorbereitung Wirtschaftsmathematik – Analysis (123 Seiten). München: Oldenbourg.
Kamps, U., Cramer, E. & Oltmanns, H. (2009). Wirtschaftsmathematik: Einführendes Lehr- und Arbeitsbuch (1. Aufl. 2001: 444 Seiten, 2. Aufl. 2003, 3. Aufl. 2009: 450 Seiten). München: Oldenbourg.
Cramer, E., Herff, W. & Kamps, U. (2010). Übungen zur Mathematik (2. Aufl.). Aachen: ISW.
Cramer, E. & Kamps, U. (2011). Klausurtraining Statistik. Aachen: ISW.
Burkschat, M., Cramer, E. & Kamps, U. (2012). Beschreibende Statistik: Grundlegende Methoden der Datenanalyse (2. Aufl.) (1. Aufl. 2004: 376 Seiten, 2. Aufl. 2012). Heidelberg: Springer.
Clermont, S., Cramer, E., Jochems, B. & Kamps, U. (2012). Wirtschaftsmathematik, Mathematik-Training zum Studienstart (1. Aufl. 1993: 190 Seiten, 2. Aufl. 1994: 230 Seiten, 3. Aufl. 2001: 324 Seiten, 4. Aufl. 2012: 361 Seiten). München: Oldenbourg.
Cramer, E. & Kamps, U. (2013). Statistik griffbereit: Formelsammlung zur Wahrscheinlichkeitsrechnung und Statistik (1. Aufl. 2006, 2. Aufl. 2007, 3. Aufl. 2008, 4. Aufl. 2010, 5. Aufl. 2013). Aachen: ISW.
Cramer, E., Kamps, U., Kateri, M. & Burkschat, M. (2015). Mathematik für Ökonomen - Kompakter Einstieg für Bachelorstudierende (313 Seiten). München: De Gruyter Oldenbourg.
Cramer, E. & Kamps, U. (2017). Grundlagen der Wahrscheinlichkeitsrechnung und Statistik (1. Aufl. 2007: 323 Seiten, 2. Aufl. 2008: 325 Seiten, 3. Aufl. 2014: 333 Seiten, 4. Aufl. 2017: 373 Seiten). Berlin: Springer Spektrum.
Cramer, E., Kamps, U., Lehmann, J. & Walcher, S. (2017). Toolbox Mathematik für MINT-Studiengänge. Berlin: Springer Spektrum 2017.
Encyclopedia Entries (Sortieren nach: Erscheinungsdatum | Titel)
Kamps, U. (1999). Order Statistics, Generalized. In: S. Kotz et al. (Hrsg.), Encyclopedia of Statistical Sciences (Update Vol. 3) (S.553-557). New York: Wiley.
Kamps, U. (1999). Inspection Paradox. In: S. Kotz et al. (Hrsg.), Encyclopedia of Statistical Sciences (Update Vol. 3) (S.364-366). New York: Wiley.
Kamps, U. (2006). Generalized Order Statistics. In: N. Balakrishnan et al. (Hrsg.), Encyclopedia of Statistical Sciences, Vol.4 (S.2731-2737). Hoboken: Wiley.
Kamps, U. (Mitglied eines Autorenkollektivs) (2013). Kompakt-Lexikon Wirtschaftsmathematik und Statistik. Wiesbaden: Springer Gabler.
Kamps, U. (2016). Generalized Order Statistics. In: N. Balakrishnan, P. Brandimarte , B. Everitt, G. Molenberghs, W. Piegorsch & F. Ruggeri (Hrsg.), Wiley StatsRef: Statistics Reference Online (S.1-12). Chichester: Wiley.
Neue Medien (Sortieren nach: Erscheinungsdatum | Titel)
Cramer, E., Cramer, K. & Kamps, U. (2002). e-stat: A web-based learning environment in applied statistics. In: W. Härdle & B. Rönz (Hrsg.), COMPSTAT2002-Proceedings in Computational Statistics (S.309-314). Heidelberg: Physica.
Cramer, K. & Kamps, U. (2002). EMILeA-stat: A web-based learning environment in applied statistics. In: F. Flückinger et al. (Hrsg.), Tagungsband zur 4th International Conference on New Educational Environments (S.). Oberentfelden: Sauerländer AG.
Cramer, E., Cramer, K. & Kamps, U. (2002). Neue Medien für den schulischen Statistikunterricht. Stochastik in der Schule, 22 (3), 23-30
Cramer, K. & Kamps, U. (2003). Statistik multimedial: Das Projekt e-stat. Einblicke, Forschungsmagazin der Carl von Ossietzky Universität Oldenburg, 37, 20-22
Cramer, E., Cramer, K., Janzing, P., Kamps, U. & Pahl, C. (2003). EMILeA-stat: A web-based learning environment in applied statistics with a focus on learning and teaching in secondary schools. Proceedings of the IASE Satellite Conference on Statistics Education and the Internet [CDROM] (S. ). Voorburg: ISI.
Cramer, E., Härdle, W., Kamps, U. & Witzel, R. (2003). e-stat: Views, Methods, Applications. Bulletin of the International Statistical Institute, 54th Session 2003 International Statistical Institute, Berlin (Proceedings, Vol. LX, Book 2) (S.82-85). Voorburg: ISI.
Cramer, K. & Kamps, U. (2003). Interactive graphics for elementary statistical education. Bulletin of the International Statistical Institute, 54th Session 2003 International Statistical Institute, Berlin (Contributed Papers, Vol. LX, Book 1) (S.222-223). Voorburg: ISI.
Cramer, K., Cramer, E. & Kamps, U. (2004). Die elementar-modulare Struktur der Lehr- und Lernumgebung EMILeA-stat. In: U. Rinn & D. Meister (Hrsg.), Didaktik und Neue Medien – Konzepte und Anwendungen in der Hochschule (S.175-191). Münster: Waxmann.
Cramer, E., Cramer, K., Kamps, U. & Pahl, C. (2004). EMILeA-stat: Multimediales und interaktives Statistiklernen. In: R. Biehler et al. (Hrsg.), Neue Medien und innermathematische Vernetzungen in der Stochastik; Anregungen zum Stochastikunterricht (Band 2) (S.107-126). Hildesheim: Franzbecker.
Cramer, K., Kamps, U. & Zuckschwerdt, C. (2004). st·apps and EMILeA-stat: Interactive visualizations in descriptive statistics. In: J. Antoch (Hrsg.), Proceedings in Computational Statistics (S.101-112). Heidelberg: Physica.
Cramer, E., Cramer, K. & Kamps, U. (2004). EMILeA-stat: Statistik multimedial und interaktiv. Softwaretechnik-Trends, 24 (1), 46-53
Pahl, C. & Kamps, U. (2005). EMILeA-stat: Multimediales und interaktives Statistiklernen in der Schule. In: P. Bender et al. (Hrsg.), Neue Medien und Bildungsstandards (S.115-121). Hildesheim: Franzbecker.
Cramer, E., Kamps, U. & Schottmüller, H. (2008). Statistik multimedial: Lehren und Lernen mit EMILeA-stat. RWTH-Themen, 2/08, 64-68
Kamps, U. & Burkschat, M. (2015). Erneuerungstheorie und Wartezeitparadoxon. wisu - das wirtschaftsstudium (3), 289-295
Hausmann, L. & Kamps, U. (2016). Darstellung und Messung von Konzentration mit Lorenzkurve und Gini-Koeffizient in einem Schüleruni-Workshop. In: Gesellschaft für Didaktik der Mathematik (Hrsg.), Beiträge zum Mathematikunterricht 2016 (S.381-384). Münster: WTM-Verlag.
Tagungsbeiträge (Sortieren nach: Erscheinungsdatum | Titel)
Cramer, E., Kamps, U. & Rychlik, T. (2002). Moments of generalized order statistics. In: H. Langseth & B. Lindqvist (Hrsg.), Third International Conference on Mathematical Methods in Reliability, Methodology and Practice (S.165-168). Trondheim: NTNU.
Beutner, E, Burkschat, M & Kamps, U (2007). Sequential k-out-of-n systems: model and estimation. Proceedings of the Fifth International Mathematical Methods in Reliability (MMR) Conference (S.). Glasgow: .
Zeitschriften (Sortieren nach: Erscheinungsdatum | Titel)
Kamps, U. (1988). Distance measures in a one-parameter class of density functions. Communications in Statistics - Theory and Methods, 17, 2013 - 2019
Kamps, U. (1989). Chebyshev polynomials and least squares estimation based on one-dependent random variables. Linear Algebra and its Applications, 112, 217 - 230
Kamps, U. (1989). Estimation based on equioverlapping samples. Biometrika, 76, 799 - 802
Kamps, U. & Weingarten, H. (1989). Maximum likelihood estimation of a Poisson parameter in a model of equioverlapping samples: A simulation study. Communications in Statistics - Simulation and Computation, 18, 1369 - 1379
Kamps, U. (1989). Überlappende Stichproben aus einer endlichen Grundgesamtheit. Allgemeines Statistisches Archiv, 73, 143 - 166
Kamps, U. (1989). Hellinger distances and α-entropy in a one-parameter class of density functions. Statistical Papers, 30, 263 - 269
Kamps, U. (1990). Relative efficiency of estimates and the use of Chebyshev polynomials in a model of pairwise overlapping samples. Linear Algebra and its Applications, 127, 641 - 653
Kamps, U. (1990). Characterizations of the exponential distribution by weighted sums of iid random variables. Statistical Papers, 31, 233 - 237
Kamps, U. (1991). Inequalities for moments of order statistics and characterizations of distributions. Journal of Statistical Planning and Inference, 27, 397 - 404
Kamps, U. (1991). A general recurrence relation for moments of order statistics in a class of probability distributions and characterizations. Metrika, 38, 215 - 225
Kamps, U. (1992). Characterizations of the exponential distribution by equality of moments. Allgemeines Statistisches Archiv, 76, 122 - 127
Kamps, U. (1992). Identities for the difference of moments of successive order statistics and record values. Metron, 50, 179 - 187
Kamps, U. & Mattner, L. (1993). An identity for expectations of functions of order statistics. Metrika, 40, 361 - 365
Kamps, U. (1994). Reliability properties of record values from non-identically distributed random variables. Communications in Statistics - Theory and Methods, 23, 2101 - 2112
Kamps, U. (1995). A concept of generalized order statistics. Journal of Statistical Planning and Inference, 48, 1-23
Kamps, U. (1995). Recurrence relations for moments of record values. Journal of Statistical Planning and Inference, 45, 225-234
Clermont, S., Herff, W., Jochems, B. & Kamps, U. (1996). The adjusted average time to signal of control charts with variable sampling intervals. Economic Quality Control, 11, 83-96
Kamps, U. (1996). A characterization of uniform distributions by subranges and its extension to generalized order statistics. Metron, 54, 37-44
Kamps, U. (1996). On a renewal process average. Stochastic Processes and Their Applications, 62, 347-349
Cramer, E. & Kamps, U. (1996). Sequential order statistics and k-out-of-n systems with sequentially adjusted failure rates. Annals of the Institute of Statistical Mathematics, 48, 535-549
Cramer, E. & Kamps, U. (1997). The UMVUE of P(X<Y) based on type-II censored samples from Weinman multivariate exponential distributions. Metrika, 46, 93-121
Kamps, U. & Gather, U. (1997). Characteristic properties of generalized order statistics from exponential distributions. Applicationes Mathematicae, 24, 383-391
Herff, W., Jochems, B. & Kamps, U. (1997). The inspection paradox with random time. Statistical Papers, 38, 103-110
Cramer, E. & Kamps, U. (1997). A note on the UMVUE of Pr(X<Y) in the exponential case. Communications in Statistics - Theory and Methods, 26, 1051-1055
Cramer, E. & Kamps, U. (1998). Sequential k-out-of-n systems with Weibull components. Economic Quality Control, 13, 227-239
Kamps, U. (1998). Subranges of generalized order statistics from exponential distributions. Fasciculi Mathematici, 28, 63-70
Kamps, U. (1998). On a class of premium principles including the Esscher principle. Scandinavian Actuarial Journal, 75-80
Cobbers, H. & Kamps, U. (1998). A note on characterizations of the geometric distribution. Journal of Statistical Planning and Inference, 67, 187-190
Cramer, E. & Kamps, U. (2000). Relations for expectations of functions of generalized order statistics. Journal of Statistical Planning and Inference, 89, 79-89
Balakrishnan, N., Cramer, E. & Kamps, U. (2001). Bounds for means and variances of progressive type II censored order statistics. Statistics & Probability Letters, 54, 301-315
Cramer, E. & Kamps, U. (2001). Estimation with sequential order statistics from exponential distributions. Annals of the Institute of Statistical Mathematics, 53, 307-324
Kamps, U. & Cramer, E. (2001). On distributions of generalized order statistics. Statistics, 35, 269-280
Balakrishnan, N., Cramer, E., Kamps, U. & Schenk, N. (2001). Progressive type II censored order statistics from exponential distributions. Statistics, 35, 537-556
Cramer, E., Kamps, U. & Rychlik, T. (2002). On the existence of moments of generalized order statistics. Statistics & Probability Letters, 59, 397-404
Cramer, E., Kamps, U. & Rychlik, T. (2002). Evaluations of expected generalized order statistics in various scale units. Applicationes Mathematicae, 29, 285-295
Cramer, E., Kamps, U. & Schenk, N. (2002). On the joint completeness of independent statistics. Statistics and Decisions, 20, 269-277
Keseling, C. & Kamps, U. (2003). A theorem of Rossberg for generalized order statistics. Sankhya, 65, 259-270
Cramer, E. & Kamps, U. (2003). Marginal distributions of sequential and generalized order statistics. Metrika, 58, 293-310
Cramer, E., Kamps, U. & Raqab, M. (2003). Characterizations of exponential distributions by spacings of generalized order statistics. Applicationes Mathematicae, 30, 257-265
Burkschat, M., Cramer, E. & Kamps, U. (2003). Dual generalized order statistics. Metron, 61, 13-26
Cramer, E., Kamps, U. & Keseling, C. (2004). Characterizations via linear regression of ordered random variables: A unifying approach. Communications in Statistics - Theory and Methods, 33, 2885-2911
Cramer, E., Kamps, U. & Rychlik, T. (2004). Unimodality of uniform generalized order statistics, with applications to mean bounds. Annals of the Institute of Statistical Mathematics, 56, 183-192
Balakrishnan, N., Cramer, E. & Kamps, U. (2005). Relation for joint densities of progressively censored order statistics. Statistics, 39, 529-536
Burkschat, M., Cramer, E. & Kamps, U. (2006). On optimal schemes in progressive censoring. Statistics & Probability Letters, 76, 1032-1036
Beutner, E. & Kamps, U. (2007). Random convex combinations of order statistics. Statistics & Probability Letters, 77, 1133-1136
Kamps, U. & Cramer, E. (2007). Comments on: "Progressive censoring methodology: An appraisal" by : N. Balakrishnan. Test, 16, 271-275
Burkschat, M., Cramer, E. & Kamps, U. (2007). Optimality criteria and optimal schemes in progressive censoring. Communications in Statistics - Theory and Methods, 36, 1419-1431
Cramer, E. & Kamps, U. (2008). VDI-Richtlinie 4008,9 - Eine Modellerweiterung [Analyse der Zuverlässigkeit redundanter Systeme]. RWTH-Themen, 2/08, 20-25
Beutner, E. & Kamps, U. (2008). Random contraction and random dilation of generalized order statistics. Communications in Statistics – Theory and Methods, 2185-2201
Balakrishnan, N., Beutner, E. & Kamps, U. (2008). Order restricted inference for sequential k-out-of-n systems. Journal of Multivariate Analysis, 99, 1489-1502
Beutner, E. & Kamps, U. (2009). Order restricted statistical inference for scale parameters based on sequential order statistics. Journal of Statistical Planning and Inference, 139, 2963-2969
Kateri, M., Kamps, U. & Balakrishnan, N. (2009). A meta-analysis approach for step-stress experiments. Journal of Statistical Planning and Inference, 139, 2907-2919
Beutner, E. & Kamps, U. (2009). Identical distributions of single variates and random convex combinations of uniform fractional order statistics. Communications in Statistics - Theory and Methods, 38, 1950-1959
Balakrishnan, N., Kamps, U. & Kateri, M. (2009). Minimal repair under a step-stress test. Statistics & Probability Letters, 79, 1548-1558
Kateri, M., Kamps, U. & Balakrishnan, N. (2010). Multi-sample simple step-stress experiment under time constraints. Statistica Neerlandica, 64, 77–96
Burkschat, M., Kamps, U. & Kateri, M. (2010). Sequential order statistics with an order statistics prior. Journal of Multivariate Analysis, 101, 1826-1836
Balakrishnan, N., Beutner, E. & Kamps, U. (2011). Modeling parameters of a load-sharing system through link functions in sequential order statistics models and associated inference. IEEE Transactions on Reliability, 60, 605-611
Schenk, N., Burkschat, M., Cramer, E. & Kamps, U. (2011). Bayesian estimation and prediction with multiply Type-II censored samples of sequential order statistics from one- and two-parameter exponential distributions. Journal of Statistical Planning and Inference, 141, 1575-1587
Fischer, T. & Kamps, U. (2011). On the existence of transformations preserving the structure of order statistics in lower dimensions. Journal of Statistical Planning and Inference, 141, 536-548
Kateri, M., Kamps, U. & Balakrishnan, N. (2011). Optimal allocation of change points in simple step-stress experiments under type-II censoring. Computational Statistics and Data Analysis, 55, 236-247
Bedbur, S., Beutner, E. & Kamps, U. (2012). Generalized order statistics: An exponential family in model parameters. Statistics, 46, 159-166
Balakrishnan, N., Kamps, U. & Kateri, M. (2012). A sequential order statistics approach to step-stress testing. Annals of the Institute of Statistical Mathematics, 64, 303-318
Goroncy, A. & Kamps, U. (2012). Relations for m-generalized order statistics via an Opial-type inequality. Journal of Statistical Planning and Inference, 142, 1457–1463
Fischer, T. & Kamps, U. (2013). Power maps in goodness-of-fit testing. Computational Statistics, 28, 1365-1382
Bedbur, S., Lennartz, J.M. & Kamps, U. (2013). Confidence regions in models of ordered data. Journal of Statistical Theory and Practice, 7, 59-72
Goroncy, A. & Kamps, U. (2013). Random convex combinations of m-generalized order statistics. Communications in Statistics - Theory and Methods, 42, 2376-2384
Burkschat, M., Kamps, U. & Kateri, M. (2013). Estimating scale parameters under an order statistics prior. Statistics & Risk Modeling, 30, 205-219
Vuong, Q.N., Bedbur, S. & Kamps, U. (2013). Distances between models of generalized order statistics. Journal of Multivariate Analysis, 118, 24-36
Schmiedt, A.B., Dickert, H.H., Bleck, W. & Kamps, U. (2014). Multivariate extreme value analysis and its relevance in a metallographical application. Journal of Applied Statistics, 41 (3), 582-595
Fischer, T. & Kamps, U. (2014). Structure preserving mappings of uniform order statistics. Statistics, 48 (1), 142-158
Bedbur, S., Beutner, E. & Kamps, U. (2014). Multivariate testing and model-checking for generalized order statistics with applications. Statistics, 48 (6), 1297-1310
Kateri, M. & Kamps, U. (2015). Inference in step-stress models based on failure rates. Statistical Papers, 56 (3), 639-660
Fischer, T. & Kamps, U. (2015). Power maps in goodness-of-fit testing based on censored samples. Communications in Statistics - Simulation and Computation, 44 (7), 1931-1974
Schmiedt, A.B., H.H. Dickert, H.H., Bleck, W. & Kamps, U. (2015). Evaluation of maximum non-metallic inclusion sizes in engineering steels by fitting a generalized extreme value distribution based on vectors of largest observations. Acta Materialia, 95, 1-9
Bedbur, S., Kamps, U. & Kateri, M. (2015). Meta-analysis of general step-stress experiments under repeated Type-II censoring. Applied Mathematical Modelling, 39, 2261-2275
Bedbur, S., Burkschat, M. & Kamps, U. (2016). Inference in a model of successive failures with shape-adjusted hazard rates. Annals of the Institute of Statistical Mathematics, 68 (3), 639-657
Bedbur, S., Müller, N. & Kamps, U. (2016). Hypotheses testing for generalized order statistics with simple order restrictions on model parameters under the alternative. Statistics, 50 (4), 775 - 790
Katzur, A. & Kamps, U. (2016). Order statistics with memory: A model with reliability applications. Journal of Applied Probability, 53 (4), 974-988
Katzur, A. & Kamps, U. (2016). Classification into Kullback-Leibler balls in exponential families. Journal of Multivariate Analysis, 150, 75–90
Katzur, A. & Kamps, U. (2016). Homogeneity testing via weighted affinity in multiparameter exponential families. Statistical Methodology, 32, 77–90
Kateri, M. & Kamps, U. (2017). Hazard rate modeling of step-stress experiments. Annual Review of Statistics and Its Application, 4, 147–168
Bedbur, S. & Kamps, U. (2017). Inference in a two-parameter generalized order statistics model. Statistics, 51 (5), 1132-1142