Results 91 to 100 of about 527,484 (266)

ADDITIONAL NOTES ON THE NEGATIVE BINOMIAL DISTRIBUTION [PDF]

, 1961
Dalton H. Wright
openalex   +1 more source

Application of the discrete distribution in Bayes analYsis of nature area coverage data

Lietuvos Matematikos Rinkinys, 2012
Classical statistical methods do not always provide desired results for every situation. Therefore, new alternative methods of data analysis are in demand. As the computational power becomes more modern, Bayes statistical methods are increasingly applied
Kęstutis Dučinskas, Eglė Baltmiškytė, Martynas Bučas   +2 more
doaj   +1 more source

Weak convergence to the t-distribution [PDF]

We present a new limit theorem for random means: if the sample size is not deterministic but has a negative binomial or geometric distribution, the limit distribution of the normalised random mean is a t-distribution with degrees of freedom depending on ...
Christian Schluter, Mark Trede
core  

Comparison of multiplicity distributions to the negative binomial distribution in muon-proton scattering [PDF]

, 1987
M. Arneodo, A. Arvidson, J.J. Aubert, B. Badełek, J. Beaufays, C. P. Bee, C. Benchouk, G. Berghoff, I. Bird, D. Blum, E. Böhm, X. De Bouard, F.W. Brasse, H. M. Braun, C. Broll, S. Brown, H. Brück, H. Calén, J. S. Chima, J. Ciborowski, R.W. Clifft, G. Coignet, F. Combley, J. A. Coughlan, G. D’Agostini, S. Dahlgren, F. Dengler, I. Derado, T. Dreyer, J. Drees, M. Düren, V. Eckhard, A. J. Edwards, M. Edwards, T. Ernst, G. Eszes, Judith Favier, M.I. Ferrero, J. Figiel, W. Flauger, J. M. Foster, J. Ftáčnik, E. Gabathuler, J. Gajewski, R. Gamet, J. Gayler, N.I. Geddes, P. Grafström, F. Grard, J. Haas, E. Hagberg, F.J. Hasert, P.J. Hayman, Ph. Heusse, M. Jaffré, A. Jachołkowska, F. Janata, Gábor Jancsó, Andrew Johnson, E. M. Kabuß, G. Kellner, V. Korbel, J. Krüger, S. Kullander, U. Landgraf, D. Lanske, J. Loken, K. Long, M. Maire, P. Małecki, A. Manz, S. Maselli, W. Mohr, F. Montanet, Hugh Montgomery, E. Nagy, J. Nassalski, P.R. Norton, F. G. Oakham, A.M. Osborne, C. Pascaud, B. Pawlik, P. Payre, C. Peroni, H. Peschel, H. Pessard, J. Pettinghale, B. Pietrzyk, U. Pietrzyk, B. Pönsgen, M. Pötsch, P. Renton, P. Ribarics, K. Rith, E. Rondio, A. Sandacz, M. Scheer, A. Schlagböhmer, H. Schiemann, N. Schmitz   +99 more
openalex   +1 more source

An algorithm to generate discrete probability distributions: Binomial, hypergeometric, negative binomial, inverse hypergeometric, and Poisson [PDF]

, 1994
Kenneth J. Berry, Paul W. Mielke, Steven G. Helmericks   +2 more
openalex   +1 more source

Negative Binomial Distribution

Definitions, 2020
Andrew D Archer, Ayoub Belemlih
semanticscholar   +1 more source

A beta-Poisson model for infectious disease transmission.

PLoS Computational Biology
Outbreaks of emerging and zoonotic infections represent a substantial threat to human health and well-being. These outbreaks tend to be characterised by highly stochastic transmission dynamics with intense variation in transmission potential between ...
Joe Hilton, Ian Hall
doaj   +1 more source

Computer generation of initial spatial distribution for cell automata [PDF]

Computational Ecology and Software, 2011
The algorithm to generate spatial distribution patterns was developed and presented in this study. Three typical spatial distribution patterns, i.e., Poisson distribution, binomial distribution, and negative binomial distribution were included in the ...
GuangHua Liu, WenJun Zhang
doaj  

The real powers of the convolution of a negative binomial distribution and a Bernoulli distribution [PDF]

, 2002
Gérard Letac, Dhafer Malouche, Stefan Maurer   +2 more
openalex   +1 more source

Describing dynamical fluctuations and genuine correlations by Weibull regularity

, 2017
The Weibull parametrization of the multiplicity distribution is used to describe the multidimensional local fluctuations and genuine multiparticle correlations measured by OPAL in the large statistics $e^{+}e^{-} \to Z^{0} \to hadrons$ sample.
Dash, Sadhana, Nayak, Ranjit K., Sarkisyan-Grinbaum, Edward K., Tasevsky, Marek   +3 more
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