Results 261 to 270 of about 263,469 (298)

Weighted balanced loss function and estimation of the mean time to failure

Communications in Statistics - Theory and Methods, 1994
The purpose of this paper is to consider estimation of the mean time to failure using loss functions that reflect both of fit and precision of estimation. We show how this can be done using balanced loss functions (BLF) of the type introduced in Zellner (1994) and weighted balanced loss function (WBLF) introduced in this paper.
Josemar Rodrigues, Arnold Zellner
exaly   +2 more sources

Bayes minimax estimation of the mean matrix of matrix-variate normal distribution under balanced loss function

Statistics and Probability Letters, 2017
This note considers the problem of simultaneous estimation of matrix-variate normal mean matrix using a balanced loss function when common variance σ2 is unknown.
S Rezaei, Saralees Nadarajah
exaly   +2 more sources

An Appreciation of Balanced Loss Functions Via Regret Loss

Communications in Statistics - Theory and Methods, 2014
We examine balanced loss functions, which account for both estimation error and goodness of fit (or proximity to a “target” estimator), in terms of their regret losses, providing new insight and interpretations. This also shows a connection between quadratic balanced loss and usual quadratic loss, which easily converts frequentist and Bayesian results ...
Tapan K. Nayak, Bimal Sinha
openaire   +1 more source

Sensorimotor function and standing balance in older adults with transtibial limb loss

Clinical Biomechanics, 2023
Limited research has focused on older prosthesis users despite the expected compounded effects of age and amputation on sensorimotor function, balance, and falls. This study compared sensorimotor factors and standing balance between older individuals with and without transtibial amputation, hypothesizing that prosthesis users would demonstrate worse ...
Matthew J, Major, Rebecca L, Stine
openaire   +2 more sources

On estimation with weighted balanced-type loss function

Statistics & Probability Letters, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jozani, Mohammad Jafari, Marchand, Éric, Parsian, Ahmad   +2 more
openaire   +2 more sources

Gradient Analysis of Loss Function Based on System Balance

2020
In recent years, deep learning has been widely used in various fields of social life. The theoretical understanding on how it works also makes people curious.
Suman Xia, Cheng Cheng, Haoyuan Wang, Xuguang Wang   +3 more
openaire   +1 more source

LINEAR ESTIMATORS OF A POISSON MEAN UNDER BALANCED LOSS FUNCTIONS

Statistics & Risk Modeling, 1998
Summary: This paper considers estimation of a Poisson mean using \textit{A. Zellner}'s [\textit{S.S. Gupta} et al. (eds.), Stat. Decision Theory Relat. Topics V. Proc. fifth Purdue Int. Symp., 377-390 (1994; Zbl 0787.62035)] balanced loss function \[ L_B(\lambda, \widehat\lambda) =(w/n) \sum^n_{i=1} (X_i-\widehat \lambda)^2+(1-w) (\lambda- \widehat ...
Chung, Younshik, Kim, Chansoo, Song, Seongho   +2 more
openaire   +2 more sources

Estimation of the drift of a Gaussian process under balanced loss function

Communications in Statistics - Theory and Methods, 2021
In this article, we study the problem of estimation of the drift θ of a Gaussian process (Xt)t∈[0,T].
Jabrane Moustaaid, Idir Ouassou
openaire   +1 more source

Effect of hearing aids on static balance function in elderly with hearing loss

Gait & Posture, 2017
While a few studies have investigated the relationship between hearing acuity and postural control, little is known about the effect of hearing aids on postural stability in elderly with hearing loss. The aim was to compare static balance function between elderly with hearing loss who used hearing aids and those who did not use.
Hossein, Negahban, Mahtab, Bavarsad Cheshmeh Ali, Gholamhossein, Nassadj   +2 more
openaire   +2 more sources

A perceptually balanced loss function for short-time spectral amplitude estimation

2003 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (IEEE Cat. No.03TH8684), 2003
Summary form only given. We present a novel approach to audio signal enhancement based on psychoacoustic principles. Specifically, we describe a short-time spectral amplitude estimator whose form comprises a weighted sum of the minimum mean-square error solution and the observed spectral value, where the weighting factor is given by the ratio of the ...
Patrick J. Wolfe, Simon J. Godsill
openaire   +1 more source