Results 31 to 40 of about 2,699 (261)
Estimation of Gini Index within Pre-Specified Error Bound
Gini index is a widely used measure of economic inequality. This article develops a theory and methodology for constructing a confidence interval for Gini index with a specified confidence coefficient and a specified width without assuming any specific ...
Bhargab Chattopadhyay +1 more
doaj +1 more source
Non-linear and signal energy optimal asymptotic filter design [PDF]
The paper studies some connections between the main results of the well known Wiener-Kalman-Bucy stochastic approach to filtering problems based mainly on the linear stochastic estimation theory and emphasizing the optimality aspects of the achieved ...
Josef Hrusak, Vaclav Cerny
doaj
THE AVERAGING METHOD OF BOUNDARY-VALUE PROBLEMS IN CONTROL OF FAST AND SLOW VARIABLES WITH DELAY
Initial problem of terminal control with delay and variables with velocity orders of unity and small parameter in view of necessary optimality condition is reduced to perturbed boundary-value problem with deviating arguments.
V.P. Zholtikov, V.V. Efendiev
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Asymptotically optimal minimizers schemes [PDF]
Abstract Motivation The minimizers technique is a method to sample k -mers that is used in many bioinformatics software to reduce computation, memory usage and run time. The number of applications using minimizers keeps on growing steadily.
Marçais, Guillaume +2 more
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Update on the Asymptotic Optimality of LPT [PDF]
Lorsque l’on doit ordonnancer des tâches indépendantes sur des processeurs identiques, l’objectif habituel est de minimiser le makespan, c’est-à-dire le temps total d’exécution. Une heuristique simple et efficace consiste à ordonnancer d’abord la tâche avec le plus long temps de calcul (heuristique LPT), et de prévoir son exécution le plus tôt possible.
Benoit, Anne +3 more
openaire +3 more sources
On Asymptotically Optimal Tests
Sequences of tests with error $\exp(-nA)$ of the first type are investigated. It is shown that the error of the second type of such a sequence of tests is bounded by $\exp(- nB)$ where $B$ is determined by the Kullback-Leibler information distance of the hypotheses tested.
openaire +3 more sources
Asymptotically Optimal Adversarial Strategies for the Probability Estimation Framework
The probability estimation framework involves direct estimation of the probability of occurrences of outcomes conditioned on measurement settings and side information. It is a powerful tool for certifying randomness in quantum nonlocality experiments. In
Soumyadip Patra, Peter Bierhorst
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In this paper, we study non-Bayesian and Bayesian estimation of parameters for the Kumaraswamy distribution based on progressive Type-II censoring. First, the maximum likelihood estimates and maximum product spacings are derived.
Osama E. Abo-Kasem +2 more
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Evolutionary analysis across 32 placental mammals identified positive selection at residues H148 and W149 in the immune receptor FcγR1. Ancestral reconstruction combined with molecular dynamics simulations reveals how these mutations may influence receptor structure and dynamics, providing insight into the evolution of antibody recognition and immune ...
David A. Young +7 more
wiley +1 more source
Reconfigurable intelligent surfaces (RISs), which consist of numerous passive reflecting elements, have emerged as a prominent technology to enhance energy and spectral efficiency for future wireless networks.
Minchae Jung, Hyukmin Son
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