Results 81 to 90 of about 233,212 (284)
The performance analysis of amplitude suppression of sinusoidal hindrances
The problem of the performance analysis of non-Gaussian amplitude suppression with distribution of envelope is considered. The asymptotic values of the characteristics are investigated.
V. A. Danilov, L. V. Danilova
doaj
Sequential risk-efficient estimation of the parameter in the uniform density
We develop a risk-efficient sequential procedure for estimating the parameter θ of the uniform density on (0,θ). We give explicit expressions for the distribution of the stopping time and derive its expectation and variance.
Z. Govindarajulu
doaj +1 more source
In this work, a bioinspired all‐in‐one underwater quality evaluation metamaterial, combining sound attenuation, diffuse reflection, and mechanical robustness, is proposed based on jumping spider locomotion and human skeletal biomechanics. Meanwhile, a CNN‑driven quality evaluation framework is established for theoretically dimension‐reduced ...
Hongze Li +8 more
wiley +1 more source
Direct Determination of Smoothing Parameter for Penalized Spline Regression
Penalized spline estimator is one of the useful smoothing methods. To construct the estimator, having goodness of fit and smoothness, the smoothing parameter should be appropriately selected. The purpose of this paper is to select the smoothing parameter
Takuma Yoshida
doaj +1 more source
Robustness Property of Robust-BD Wald-Type Test for Varying-Dimensional General Linear Models
An important issue for robust inference is to examine the stability of the asymptotic level and power of the test statistic in the presence of contaminated data.
Xiao Guo, Chunming Zhang
doaj +1 more source
Asymptotic efficiency of restart and checkpointing
Many tasks are subject to failure before completion. Two of the most common failure recovery strategies are restart and checkpointing. Under restart, once a failure occurs, it is restarted from the beginning. Under checkpointing, the task is resumed from the preceding checkpoint after the failure.
openaire +2 more sources
This study establishes an interpretable machine learning framework that disentangles the intrinsic molecular efficacy of passivators from experimental platform effects—enabling unbiased, high‐throughput discovery of effective perovskite surface modifiers.
Jing Zhang +5 more
wiley +1 more source
MLEce: Statistical inference for asymptotically efficient closed-form estimators in R
Maximum likelihood estimation is a classical method with useful properties like efficiency, consistency, and asymptotic normality. However, the maximum likelihood estimator (MLE) cannot be in closed form in many distributions.
Jun Zhao +5 more
doaj +1 more source
A conversion‐resolved constitutive framework is developed for the hydrogen‐based direct reduction of iron oxide pellets. Effective reaction and transport timescales are inferred directly from measured trajectories and mapped against operating conditions, pellet architecture, and composition. The analysis reveals how late‐stage transport control emerges
Anurag Bajpai +3 more
wiley +1 more source
Equivalence of the Higher-order Asymptotic Efficiency of k-step and Extremum Statistics [PDF]
It is well known that a one-step scoring estimator that starts from any N^{1/2}-consistent estimator has the same first-order asymptotic efficiency as the maximum likelihood estimator.
Donald W.K. Andrews
core

