Results 81 to 90 of about 74,320 (358)
About an Unbiased Estimate of the Gradient with Minimum Variance in the Planning of the Experiment [PDF]
Universal Journal of Applied Mathematics, 2014 This paper considers algorithms of search of an extremum, to solve the problem of planning the experiment using the gradient method. A feature of the algorithm is that when searching for the motion (when the maximum) does not occur in the direction of the gradient, which is unknown to us, but its estimate.
N I Sidnyaev +2 more
openaire +2 more sources
What inference for two-stage phase II trials?
BMC Medical Research Methodology, 2012 Background Simon’s two-stage designs are widely used for cancer phase II trials. These methods rely on statistical testing and thus allow controlling the type I and II error rates, while accounting for the interim analysis.
Porcher Raphaël, Desseaux Kristell
doaj +1 more source
Bimetallic Nanoparticles as Cocatalysts for Photocatalytic Hydrogen Production
Advanced Functional Materials, EarlyView.Recent developments have introduced bimetallic nanoparticles as effective cocatalysts for photocatalytic systems. This review explores the rapidly expanding research on bimetallic cocatalysts for photocatalytic production of hydrogen, emphasizing the creation of carrier‐selective contacts, localized surface plasmon resonance effects, methodologies for ...
Yufen Chen +4 more
wiley +1 more source
An Optimal Channel Estimation Scheme for Intelligent Reflecting Surfaces Based on a Minimum Variance Unbiased Estimator [PDF]
, 2020 Tobias Lindstrøm Jensen +1 more
openalex +1 more source
Minimum Variance Unbiased Maximum Likelihood Estimation of the Extreme Value Index [PDF]
New results for ratios of extremes from distributions with a regularly varying tail are presented. Deriving from independence results for certain functions of order statistics, 'consecutive' ratios of extremes are shown to be independent as well as non ...
Roger Gay
core
Cramer-Rao Bounds for Misspecified Models [PDF]
, 1986 In this paper, we derive some lower bounds of the Cramer-Rao type for the covariance matrix of any unbiased estimator of the pseudo-true parameters in a parametric model that may be misspecified.
Vuong, Quang H.
core
Optimal Estimation of Several Linear Parameters in the Presence of Lorentzian Thermal Noise
, 2009 In a previous article we developed an approach to the optimal (minimum variance, unbiased) statistical estimation technique for the equilibrium displacement of a damped, harmonic oscillator in the presence of thermal noise.
Boynton P E +5 more
core +1 more source
Advanced Functional Materials, EarlyView.AI is transforming the research paradigm of battery materials and reshaping the entire landscape of battery technology. This comprehensive review summarizes the cutting‐edge applications of AI in the advancement of battery materials, underscores the critical challenges faced in harnessing the full potential of AI, and proposes strategic guidance for ...
Qingyun Hu +5 more
wiley +1 more source
One Parameter Polynomial Exponential Distribution with Binomial Mixture
Revstat Statistical JournalA further generalized version of one parameter polynomial exponential distribution with binomial probability mass as a mixture called a Binomial Mixture One Parameter Polynomial Exponential Distribution (BMOPPE) is proposed in the article.
Molay Kumar Ruidas +4 more
doaj +1 more source
, 2013 This paper deals with the problem of uniformly minimum variance unbiased estimation for the parameter of the Gompertz distribution based on progressively Type II censored data with binomial removals.
A. Shanubhogue, N. Jain
semanticscholar +1 more source