Results 41 to 50 of about 6,927,638 (333)
Achieving Pareto Optimality through Distributed Learning [PDF]
Abstract This chapter introduces a simple payoff-based learning rule that is completely decentralized and leads to an efficient configuration of actions in any n-person finite strategic-form game with generic payoffs. Agents respond solely to changes in their own realized payoffs, which are affected by the actions of other agents in the ...
Young, H, Marden, J, Pao, L
openaire +3 more sources
Manufacturing Firm Size Distribution in Iran Evidence from Food & Beverages and Non-Metallic Mineral Products [PDF]
Empirical studies have shown that the size distribution of firms can be described as a lognormal or Pareto distribution. However, these studies have focused on developed countries and little attention has been devoted to developing countries.
Mohammad Ali Feizpour, Marjan Habibi
doaj +1 more source
A FORM OF MULTIVARIATE PARETO DISTRIBUTION WITH APPLICATIONS TO FINANCIAL RISK MEASUREMENT [PDF]
A new multivariate distribution possessing arbitrarily parametrized and positively dependent univariate Pareto margins is introduced. Unlike the probability law of Asimit et al. (2010), the structure in this paper is absolutely continuous with respect to
Jianxi Su, Edward Furman
semanticscholar +1 more source
Gibrat's law for cities: uniformly most powerful unbiased test of the Pareto against the lognormal
We address the general problem of testing a power law distribution versus a log-normal distribution in statistical data. This general problem is illustrated on the distribution of the 2000 US census of city sizes.
A. N. Kolmogorov +14 more
core +1 more source
We propose a method to accelerate evolutionary multi-objective optimization (EMO) search using an estimated convergence point. Pareto improvement from the last generation to the current generation supports information of promising Pareto solution areas ...
Yan Pei, Jun Yu, Hideyuki Takagi
doaj +1 more source
On the Bivariate Composite Gumbel–Pareto Distribution
In this paper, we propose a bivariate extension of univariate composite (two-spliced) distributions defined by a bivariate Pareto distribution for values larger than some thresholds and by a bivariate Gumbel distribution on the complementary domain.
Alexandra Badea +2 more
doaj +1 more source
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
A New Heavy Tailed Class of Distributions Which Includes the Pareto
In this paper, a new heavy-tailed distribution, the mixture Pareto-loggamma distribution, derived through an exponential transformation of the generalized Lindley distribution is introduced.
Deepesh Bhati +2 more
doaj +1 more source
Multivariate Pareto Distributions
It is well known that the family of Pareto distributions with densities \begin{equation*}\begin{align*}f(x; a, p) = pa^p/x^{p+1},\qquad x > a > 0, \\ = (1.1) \\ 0,\qquad x \leqq a, p > 0,\end{align*}\end{equation*} provides reasonably good fits to many empirical distributions, e.g., to distributions of income and of property values.
openaire +2 more sources
Additive Manufacturing of NiTi Shape Memory Alloys for Elastocaloric Applications: A Review
Additive manufacturing enables complex NiTi architectures that overcome key limitations in elastocaloric refrigeration, including poor heat transfer and high mechanical work input. This review surveys recent advances in LPBF‐ and DED‐fabricated NiTi shape memory alloys for elastocaloric applications, highlighting process–structure–performance ...
Ignatius Andre Setiawan +7 more
wiley +1 more source

