Results 191 to 200 of about 101,104 (278)

Bias Adjustment for Mean Squared Error Estimation in M‐Quantile Models for Small Area Estimation

open access: yesInternational Statistical Review, EarlyView.
Summary M‐quantile (MQ) regression provides a robust and flexible alternative to mixed models for small area estimation. However, several theoretical aspects remain underexplored. In this paper, a parametric bootstrap method is proposed to approximate the distributions of area‐specific MQ coefficients and applied to adjust the bias in the mean squared ...
María Bugallo   +3 more
wiley   +1 more source

More about Bernoulli Numbers [PDF]

open access: yesJournal of Mathematics and System Science, 2016
openaire   +1 more source

A genetic algorithm simheuristic for solving the stochastic project portfolio selection problem with portfolio reliability constraints

open access: yesInternational Transactions in Operational Research, EarlyView.
Abstract In response to the increasing complexity of modern products, dynamic markets, and intensified competition, project‐based organizations are actively seeking methodologies to efficiently manage their expanding project portfolios. This paper analyzes the project portfolio selection problem in uncertain environments. Despite recent advances in the
Miguel Saiz   +3 more
wiley   +1 more source

A matheuristic for the traveling salesman problem with positional consistency constraints

open access: yesInternational Transactions in Operational Research, EarlyView.
Abstract We propose a matheuristic for the traveling salesman problem with positional consistency constraints, where we seek to generate a set of routes with minimum total cost, in which the nodes visited in more than one route (consistent nodes) must occupy the same relative position in all routes.
Luís Gouveia, Ana Paias, Mafalda Ponte
wiley   +1 more source

Three-Dimensional Path Planning for UAV Based on Multi-Strategy Dream Optimization Algorithm. [PDF]

open access: yesBiomimetics (Basel)
Yang X   +7 more
europepmc   +1 more source

Reward‐specific learning parameters change across normative adolescent development and are blunted in youth with high risk for depression

open access: yesJournal of Child Psychology and Psychiatry, EarlyView.
Background Reward learning is thought to undergo refinement in adolescence, but little is known about how computational components of reinforcement learning develop. Given that adolescence is a sensitive period for reward system plasticity with associated vulnerability for depression, it is important to understand developmental trajectories of ...
Holly Sullivan‐Toole   +5 more
wiley   +1 more source

An approximate-copula distribution for statistical modeling. [PDF]

open access: yesPLoS Comput Biol
Ji SS, Chu BB, Zhou H, Lange K.
europepmc   +1 more source

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