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Dankmar Böhning
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2020 – today
- 2020
- [j14]Heinz Holling, Walailuck Böhning, Ehsan Masoudi, Dankmar Böhning
, Patarawan Sangnawakij:
Evaluation of a new version of I2 with emphasis on diagnostic problems. Commun. Stat. Simul. Comput. 49(4): 942-972 (2020)
2010 – 2019
- 2019
- [j13]Dankmar Böhning:
Einige Bemerkungen zu "Journal-Ranking und Karriere im Fach Statistik an wirtschaftwissenschaftlichen Fakultäten" von Ulrich Rendtel. AStA Wirtschafts und Sozialstatistisches Arch. 13(2): 143-144 (2019) - 2017
- [j12]Orasa Anan, Dankmar Böhning
Population size estimation and heterogeneity in capture-recapture data: a linear regression estimator based on the Conway-Maxwell-Poisson distribution. Stat. Methods Appl. 26(1): 49-79 (2017) - 2014
- [j11]Dankmar Böhning, Christian Hennig, Geoffrey J. McLachlan, Paul D. McNicholas
The 2nd special issue on advances in mixture models. Comput. Stat. Data Anal. 71: 1-2 (2014) - 2012
- [j10]John Bunge, Linda Woodard, Dankmar Böhning
Estimating population diversity with CatchAll. Bioinform. 28(7): 1045-1047 (2012) - [c1]John Bunge, Dankmar Böhning, Heather K. Allen, James A. Foster:
Estimating Population Diversity with Unreliable Low Frequency Counts. Pacific Symposium on Biocomputing 2012: 203-212 - 2011
- [j9]M. Fazil Baksh
An extension of an over-dispersion test for count data. Comput. Stat. Data Anal. 55(1): 466-474 (2011) - [j8]K. Lanumteang, Dankmar Böhning
An extension of Chao's estimator of population size based on the first three capture frequency counts. Comput. Stat. Data Anal. 55(7): 2302-2311 (2011)
2000 – 2009
- 2007
- [j7]Dankmar Böhning, Wilfried Seidel, Marco Alfò
Advances in Mixture Models. Comput. Stat. Data Anal. 51(11): 5205-5210 (2007) - 2005
- [j6]Dankmar Böhning, Ekkehart Dietz, Ronny Kuhnert, Dieter Schön:
Mixture models for capture-recapture count data. Stat. Methods Appl. 14(1): 29-43 (2005) - 2003
- [j5]Dankmar Böhning, Wilfried Seidel:
Editorial: recent developments in mixture models. Comput. Stat. Data Anal. 41(3-4): 349-357 (2003) - [j4]Dechavudh Nityasuddhi, Dankmar Böhning:
Asymptotic properties of the EM algorithm estimate for normal mixture models with component specific variances. Comput. Stat. Data Anal. 41(3-4): 591-601 (2003) - [j3]Annibale Biggeri
A transitional non-parametric maximum pseudo-likelihood estimator for disease mapping. Comput. Stat. Data Anal. 41(3-4): 617-629 (2003) - [j2]Dankmar Böhning:
The EM algorithm with gradient function update for discrete mixtures with known (fixed) number of components. Stat. Comput. 13(3): 257-265 (2003) - 2000
- [j1]Dankmar Böhning:
Computer-Assisted Analysis of Mixtures and Applications. Technometrics 42(4): 442 (2000)
1990 – 1999
- 1993
- [p1]Dankmar Böhning:
11 Construction of reliable maximum likelihood algorithms with application to logistic and cox regression. Computational Statistics 1993: 409-422
1980 – 1989
- 1980
- [b1]Dankmar Böhning:
Numerische Methoden in der optimalen Versuchsplanung. Free University of Berlin, Dahlem, Germany, 1980, pp. 1-117
Coauthor Index
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