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A Convergence Rate Estimate for Remotest Projections on Three Subspaces
AbstractWe give an estimate of the rate of convergence to zero of the norms of remotest projections on three subspaces of a Hilbert space with zero...
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Approximate solutions to the nonlinear hyperbolic population balance equation: convergence, error estimate and numerical simulations
We consider a nonlinear, hyperbolic population balance equation that incorporates both aggregation and collisional breakage events simultaneously....
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Refinement of the Estimate for the Rate of Uniform Convergence of the Fourier Series of a Continuous Periodic Function of Bounded Variation
AbstractAn estimate for the convergence rate of the Fourier series of a continuous periodic function of bounded variation is refined.
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Modes of Convergence
To estimate an unknown parameter, we can draw some independent samples and obtain an estimator from the samples. It is natural to ask whether the...
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Convergence in Distribution
The next fundamental notion of convergence after almost-sure convergence is convergence in distribution, and the main result there is the central...
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UNIFORM CONVERGENCE OF A NONPARAMETRIC ESTIMATE OF POISSON REGRESSION WITH AN APPLICATION TO GOODNESS-OF-FIT
Kernel-type nonparametric estimates of Poisson regression function are considered. We establish the conditions of uniform consistency and the limit...
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Estimate for the Rate of Uniform Convergence of the Fourier Series of a Continuous Periodic Function of Bounded \(p\)-Variation
AbstractWe obtain an estimate for the convergence rate of the Fourier series of a continuous periodic function in terms of the modulus of...
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Convergence
Convergence is an important aspect of the computation of probabilities. It can be defined in many ways, each type of convergence having its own...
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Rate of Convergence of the Risk Estimate Distribution to the Normal Law Using FDR Multiple Hypothesis Testing with Inverting Linear Homogeneous Operators
AbstractTo solve problems of economical representation of large data arrays, multiple hypothesis testing is widely used to identify major features...
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Convergence of Estimators
Chapter 16 discusses asymptotic theories which are often required to guarantee good properties of...
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Introduction: Consensus on Convergence
The lack of evidence for growth convergence between economies has resulted in two responses in the literature. One response has been to challenge the...
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Quasi-Sectorial Contractions and Operator-Norm Convergence
Quasi-sectorial contractions play important rôle throughout this book. We need this type of map**s in different parts of the text, but mainly in...
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Robust Variable Step Size Widely Linear Complex-Valued Least Mean M-estimate Adaptive Algorithm: Derivation and Performance Analysis
In the past decade, the augmented complex-valued least mean square adaptive filtering algorithm based on the minimum mean square error criterion and...
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Navigating Integration Through Rising Complexity: Convergence Dynamics in the ASEAN Banking Markets
This study examines the evolving convergence of bank cost efficiency in ASEAN from 1994 to 2022, focusing on the determinants influencing this trend...
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Econometric Aspects of Convergence: A Survey
The literature on convergence in per-capita income across countries has not converged on a common concept of convergence. It may be within a country...
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On the Capability of Classification Trees and Random Forests to Estimate Probabilities
With the rising popularity of artificial intelligence, machine learning algorithms are being considered for an increasing number of problems. For...
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A many-objective evolutionary algorithm with adaptive convergence calculation
Since different reference points are crucial for calculating convergence, we design a many-objective evolutionary algorithm with an adaptive...
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On the convergence of Kantorovich operators in Morrey spaces
In this paper, we investigate Kantorovich operators on Morrey spaces. We first recall the main tool in the proof of the uniform boundedness of...
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Consumption convergence: theory and evidence
This study aims to construct a sound theory of consumption convergence and empirically test its viability. To do this, we employ a Solovian framework...
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Adaptive Tap-Length Based Sub-band Mean M-Estimate Filtering for Active Noise Cancellation
Electronic equipment used on a daily basis now frequently includes active noise cancellation. The adaptive filters, which are positioned within, are...
