Results 11 to 20 of about 190,116 (291)

Plug-in Bandwidth Selection for Kernel Density Estimation with Discrete Data

open access: yesEconometrics, 2015
This paper proposes plug-in bandwidth selection for kernel density estimation with discrete data via minimization of mean summed square error. Simulation results show that the plug-in bandwidths perform well, relative to cross-validated bandwidths, in ...
Chi-Yang Chu   +2 more
doaj   +1 more source

A significant minimization of Pearson’s X2 statistics in 2x2 contingency tables: preliminary results for small samples

open access: yesEpidemiology, Biostatistics and Public Health, 2018
The Pearson’s chi-square test or X2 test represents a nonparametric test more used in Medicine, Biology and Social Sciences, but it introduces some error for 2x2 contingency tables, therefore Yates introduces a continuity correction.
Nicola Serra
doaj   +1 more source

Asymptotic Integrated Mean Square Error Using Least Squares and Bias Minimizing Splines

open access: yesThe Annals of Statistics, 1980
Let $S^d_k$ be the set of $d$th order splines on $\lbrack 0, 1 \rbrack$ having $k$ knots $\xi_1 < \xi_2 \cdots < \xi_k$. We consider the estimation of a sufficiently smooth response function $g$, using $n$ uncorrelated observations, by an element $s$ of $S^d_k$.
Agarwal, Girdhar G., Studden, W. J.
openaire   +3 more sources

Shannon Entropy and Mean Square Errors for speeding the convergence of Multilayer Neural Networks: A comparative approach

open access: yesEgyptian Informatics Journal, 2011
Improving the efficiency and convergence rate of the Multilayer Backpropagation Neural Network Algorithms is an active area of research. The last years have witnessed an increasing attention to entropy based criteria in adaptive systems.
Hussein Aly Kamel Rady
doaj   +1 more source

MRDPGA: a multiple restart dynamic population genetic algorithm for scheduling road traffic

open access: yesJournal of Electrical Systems and Information Technology, 2023
A genetic algorithm is a biologically inspired stochastic approach to finding solutions to optimization problems. However, unlike its deterministic counterpart, it cannot guarantee a globally optimal solution since it may be trapped within a local ...
Babangida Zachariah   +3 more
doaj   +1 more source

Application of the Hurricane Optimization Algorithm to Estimate Parameters in Single-Phase Transformers Considering Voltage and Current Measures

open access: yesComputers, 2022
In this research paper, a combinatorial optimization approach is proposed for parameter estimation in single-phase transformers considering voltage and current measurements at the transformer terminals.
Brandon Cortés-Caicedo   +2 more
doaj   +1 more source

Optimization of Adaptive Three-Mode GBN Scheme Control Parameters [PDF]

open access: yesRadioengineering, 2017
An adaptive three-mode system based on mbox{Go-Back-N} (GBN) protocol is analyzed within this paper. An ideal mode selection procedure based on a-priori known packet error probability is defined.
R. Vojinovic, M. Dakovic
doaj  

A significant minimization of Pearson’s X2 statistics in 2x2 contingency tables: preliminary results for small samples

open access: yesEpidemiology, Biostatistics and Public Health, 2022
  The Pearson’s chi-square test or X2 test represents a nonparametric test more used in Medicine, Biology and Social Sciences, but it introduces some error for 2x2 contingency tables, therefore Yates introduces a continuity correction.
Nicola Serra
doaj  

Modeling the magnetocaloric effect of spinel ferrites for magnetic refrigeration technology using extreme learning machine and genetically hybridized support vector regression computational methods

open access: yesCogent Engineering, 2023
Spinel ferrites are magnetic oxide materials with potentials to promote green technology in magnetic refrigeration which is known to be economically clean, energy saving and efficient.
Wasiu Adeyemi Oke   +6 more
doaj   +1 more source

Filterbank optimization with convex objectives and the optimality of principal component forms [PDF]

open access: yes, 2001
This paper proposes a general framework for the optimization of orthonormal filterbanks (FBs) for given input statistics. This includes as special cases, many previous results on FB optimization for compression. It also solves problems that have not been
Akkarakaran, Sony, Vaidyanathan, P. P.
core   +1 more source

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