Results 11 to 20 of about 300,364 (303)
Double Generalized Beta-Binomial and Negative Binomial Regression Models [PDF]
Revista Colombiana de Estadística, 2017 Overdispersion is a common phenomenon in count datasets, that can greatly affect inferences about the model. In this paper develop three joint mean and dispersion regression models in order to fit overdispersed data.
EDILBERTO CEPEDA-CUERVO +1 more
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International Electronic Journal of Algebra, 2023 In this paper, we prove that the family of binomials $x_1^{a_1} \cdots x_m^{a_m}-y_1^{b_1}\cdots y_n^{b_n}$ with $\gcd(a_1, \ldots, a_m, b_1, \ldots, b_n)=1$ is irreducible by identifying the connection between the irreducibility of a binomial in ${\mathbb C}[x_1, \ldots, x_m, y_1, \ldots, y_n]$ and ${\mathbb C}(x_2, \ldots, x_m, y_1, \ldots, y_n)[x_1]$
WANG, Haohao +2 more
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On the errors and comparison of Vega estimation methods [PDF]
, 2003 This article discusses convergence problems when calculating Vega (option sensitivity to volatility) that arise from discretization errors embedded in the lattice approach.
Shackleton, M B, Chung, S L
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A consistent estimator for the binomial distribution in the presence of “incidental parameters”: an application to patent data [PDF]
, 2003 In this paper a consistent estimator for the Binomial distribution in the presence of incidental parameters, or fixed effects, when the underlying probability is a logistic function is derived.
Machado, Matilde P.
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THE TRANSFORMATION OF POISSON, BINOMIAL AND NEGATIVE-BINOMIAL DATA
Biometrika, 1948 Anscombe, F.
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Binomial fibers and indispensable binomials
Journal of Symbolic Computation, 2016 15 pages, 2 figures. All results have been extended to the general case of binomial ideals. Several proofs were added/modified and there is a new theorem, Theorem 1.8.
Hara Charalambous +2 more
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Advances in Applied Mathematics, 2015 Binomial ideals are special polynomial ideals with many algorithmically and theoretically nice properties. We discuss the problem of deciding if a given polynomial ideal is binomial. While the methods are general, our main motivation and source of examples is the simplification of steady state equations of chemical reaction networks.
Carsten Conradi, Thomas Kahle
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Binomial Canonical Decompositions of Binomial Ideals [PDF]
Communications in Algebra, 2011 In this paper, we prove that every binomial ideal in a polynomial ring over an algebraically closed field of characteristic zero admits a canonical primary decomposition into binomial ideals. Moreover, we prove that this special decomposition is obtained from a cellular decomposition which is also defined in a canonical way and does not depend on the ...
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Applied Sciences, 2021 This paper presents and first scientifically substantiates the generalized theory of binomial number systems (BNS) and the method of their formation for reliable digital signal processing (DSP), transmission, and data storage.
Oleksiy Borysenko +2 more
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Suppléer aux données manquantes par maximum de vraisemblance : une application à des variables de Bernoulli//Making up for missing data by maximum likelihood estimation: an application to Bernoulli variables [PDF]
Tutorials in Quantitative Methods for Psychology, 2019 Statistical parameter estimation from incomplete or lacunar data series is an oft-encountered issue in real settings, an issue for which the user has at his disposal a handful of solutions, from simple and multiple imputation to substitution of an ...
Laurencelle, Louis
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