Dankmar Böhning

17 papers Misc 1Journal 14
YearRankTypeTitle / Venue / Authors
2020 J jnl
Evaluation of a new version of I2 with emphasis on diagnostic problems.
Commun. Stat. Simul. Comput.
Heinz Holling, Walailuck Böhning, Ehsan Masoudi, Dankmar Böhning, Patarawan Sangnawakij
2019 J jnl
Einige Bemerkungen zu "Journal-Ranking und Karriere im Fach Statistik an wirtschaftwissenschaftlichen Fakultäten" von Ulrich Rendtel.
AStA Wirtschafts und Sozialstatistisches Arch.
Dankmar Böhning
2017 J jnl
Population size estimation and heterogeneity in capture-recapture data: a linear regression estimator based on the Conway-Maxwell-Poisson distribution.
Stat. Methods Appl.
Orasa Anan, Dankmar Böhning, Antonello Maruotti
2014 J jnl
The 2nd special issue on advances in mixture models.
Comput. Stat. Data Anal.
Dankmar Böhning, Christian Hennig, Geoffrey J. McLachlan, Paul D. McNicholas
2012 Misc conf
Estimating Population Diversity with Unreliable Low Frequency Counts.
Pacific Symposium on Biocomputing
John Bunge, Dankmar Böhning, Heather K. Allen, James A. Foster
2012 J jnl
Estimating population diversity with CatchAll.
Bioinform.
John Bunge, Linda Woodard, Dankmar Böhning, James A. Foster, Sean Connolly, Heather K. Allen
2011 J jnl
An extension of Chao's estimator of population size based on the first three capture frequency counts.
Comput. Stat. Data Anal.
K. Lanumteang, Dankmar Böhning
2011 J jnl
An extension of an over-dispersion test for count data.
Comput. Stat. Data Anal.
M. Fazil Baksh, Dankmar Böhning, Rattana Lerdsuwansri
2007 J jnl
Advances in Mixture Models.
Comput. Stat. Data Anal.
Dankmar Böhning, Wilfried Seidel, Marco Alfò, Bernard Garel, Valentin Patilea, Günther Walther
2005 J jnl
Mixture models for capture-recapture count data.
Stat. Methods Appl.
Dankmar Böhning, Ekkehart Dietz, Ronny Kuhnert, Dieter Schön
2003 J jnl
A transitional non-parametric maximum pseudo-likelihood estimator for disease mapping.
Comput. Stat. Data Anal.
Annibale Biggeri, Emanuela Dreassi, Corrado Lagazio, Dankmar Böhning
2003 J jnl
Asymptotic properties of the EM algorithm estimate for normal mixture models with component specific variances.
Comput. Stat. Data Anal.
Dechavudh Nityasuddhi, Dankmar Böhning
2003 J jnl
Editorial: recent developments in mixture models.
Comput. Stat. Data Anal.
Dankmar Böhning, Wilfried Seidel
2003 J jnl
The EM algorithm with gradient function update for discrete mixtures with known (fixed) number of components.
Stat. Comput.
Dankmar Böhning
2000 J jnl
Computer-Assisted Analysis of Mixtures and Applications.
Technometrics
Dankmar Böhning
1993 — ch.
11 Construction of reliable maximum likelihood algorithms with application to logistic and cox regression.
Computational Statistics
Dankmar Böhning
1980 — —
Numerische Methoden in der optimalen Versuchsplanung.
Dankmar Böhning