Results 31 to 40 of about 373,315 (309)

Additively decomposed quasiconvex functions [PDF]

open access: yesMathematical Programming, 1982
Letf be a real-valued function defined on the product ofm finite-dimensional open convex setsX1, ź,Xm. Assume thatf is quasiconvex and is the sum of nonconstant functionsf1, ź,fm defined on the respective factor sets. Then everyfi is continuous; with at most one exception every functionfi is convex; if the exception arises, all the other functions ...
Gerard Debreu, Tjalling C. Koopmans
openaire   +2 more sources

Research of the probability of the "flip" of approximating function during the processing of measurement results [PDF]

open access: yesE3S Web of Conferences, 2019
The paper presents the results of the studies of the probability of a “flip” of the approximating function when processing the measurement results under conditions of a priori uncertainty about the signal function and the statistical characteristics of ...
Marchuk Vladimir   +3 more
doaj   +1 more source

On $q$-additive functions, II

open access: yesProceedings of the Japan Academy, Series A, Mathematical Sciences, 1983
One more summation formula for \(q\)-additive functions is given. For part I see ibid. 59, 274--276 (1983; Zbl 0518.10062).
Mauclaire, J.-L., Murata, Leo
openaire   +3 more sources

Identifying Risk Factors for Severe Childhood Malnutrition by Boosting Additive Quantile Regression [PDF]

open access: yes, 2009
Ordinary linear and generalized linear regression models relate the mean of a response variable to a linear combination of covariate effects and, as a consequence, focus on average properties of the response.
Kneib, Thomas   +2 more
core   +1 more source

Boosting Nonlinear Additive Autoregressive Time Series [PDF]

open access: yes, 2007
Within the last years several methods for the analysis of nonlinear autoregressive time series have been proposed. As in linear autoregressive models main problems are model identification, estimation and prediction.
Tutz, Gerhard, Shafik, Nivien
core   +1 more source

The inapproximability for the $(0,1)$-additive number [PDF]

open access: yesDiscrete Mathematics & Theoretical Computer Science, 2016
An additive labeling of a graph $G$ is a function $\ell :V(G) \rightarrow \mathbb{N}$, such that for every two adjacent vertices $v$ and $u$ of $G$, $\Sigma_{w \sim v} \ell (w) \neq \Sigma_{w \sim u} \ell (w)$ ($x \sim y$ means that $x$ is joined to $y$).
Arash Ahadi, Ali Dehghan
doaj   +1 more source

Generalized structured additive regression based on Bayesian P-splines [PDF]

open access: yes, 2003
Generalized additive models (GAM) for modelling nonlinear effects of continuous covariates are now well established tools for the applied statistician. In this paper we develop Bayesian GAM's and extensions to generalized structured additive regression ...
Lang, S., Brezger, Andreas, Lang, Stefan
core   +1 more source

A Kannappan-Cosine Functional Equation on Semigroups

open access: yesAnnales Mathematicae Silesianae
In this paper we determine the complex-valued solutions of the Kannappan-cosine functional equation g(xyz0) = g(x)g(y) − f (x)f (y), x, y ∈ S, where S is a semigroup and z0 is a fixed element in S.
Jafar Ahmed   +2 more
doaj   +1 more source

Ability of a commercial feed additive to modulate expression of innate immunity in sheep immunosuppressed with dexamethasone

open access: yesAnimal, 2007
In the first study, we tested the ability of a commercial feed additive (OmniGen-AF) to affect markers of innate immunity in immunosuppressed sheep and the ability of a pathogen challenge (mould) to affect the immune response to the additive.
Y. Wang   +3 more
doaj   +1 more source

Some new problems about the Smarandache function and related problems [PDF]

open access: yes, 2007
For any positive integer n, the famous F.Smarandache function S(n) is defined as the smallest positive integer m such that njm!. That is, S(n) = min fm : m 2 N; njm!g.
Yulin Lu, Yulin, Luy
core   +1 more source

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