Results 61 to 70 of about 41,085 (210)

On Some Classes of Estimators Derived from the Positive Part of James–Stein Estimator

Journal of Mathematics, 2023
This work consists of developing shrinkage estimation strategies for the multivariate normal mean when the covariance matrix is diagonal and known. The domination of the positive part of James–Stein estimator (PPJSE) over James–Stein estimator (JSE ...
Abdenour Hamdaoui, Abdelkader Benkhaled, Mohammed Alshahrani, Mekki Terbeche, Waleed Almutiry, Amani Alahmadi   +5 more
doaj   +1 more source

On the degrees of freedom in shrinkage estimation

Journal of Multivariate Analysis, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

From estimation to optimization via shrinkage

Operations Research Letters, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Danial Davarnia, Gérard Cornuéjols
openaire   +3 more sources

Full Bayesian wavelet inference with a nonparametric prior [PDF]

, 2012
In this paper,we introduce a new Bayesian nonparametric model for estimating an unknown function in the presence of Gaussian noise.The proposed model involves a mixture of a point mass and an arbitrary (nonparametric) symmetric and unimodal distribution
Wang, Xue, Walker, Stephen G.
core   +1 more source

Shrinkage estimation of NFL field goal success probabilities

Journal of Sports Analytics, 2017
National Football League (NFL) kickers have displayed improvement in both range and accuracy in recent years. NFL management in turn has displayed a rather low tolerance for missed field goals, particularly in game-deciding situations.
Jason A. Osborne, Richard A. Levine
doaj   +1 more source

ESTIMASI REGRESI NON PARAMETRIK DENGAN METODE WAVELET SHRINKAGE NEURAL NETWORK PADA MODEL RANCANGAN TETAP

Media Statistika, 2009
If X is a predictor variable and Y is a response  variable of following model Y = g(X) +e with function g is a regression which not yet been known and e is an independent random variable with mean 0 and variant .
Hasbi Yasin
doaj   +1 more source

An analytical shrinkage estimator for linear regression

Statistics & Probability Letters, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +3 more sources

Shrinkage of the Sample Correlation Matrix of Returns Towards a Constant Correlation Target: A Pedagogic Illustration Based on Dow Jones Stock Returns

Spreadsheets in Education, 2017
This paper extends the introduction to shrinkage estimation in a recent paper from the same journal. The extension, which is in a portfolio investment context, is on shrinkage of the sample correlation matrix of returns towards a constant correlation ...
Clarence C. Y. Kwan
doaj  

Shrinkage Estimators in Bell Regression Model: Subject Review

المجلة العراقية للعلوم الاحصائية
Bell regression model has become a very versatile model that replaced the conventional count data models and helps to resolve the problem of over-dispersion where the variance of data points surpasses the mean.
Hutheyfa Hazem Taha
doaj   +1 more source

Laser 3D scanning for shrinkage measurement in 3DCP mortar: an investigative study

Frontiers in Built Environment
The shrinkage of 3D concrete printing (3DCP) mortars has been evaluated using methods such as length comparator, DIC methods that consider one dimension, or a surface for estimating the shrinkage in the specimen.
Akash G. Sunny, Jayaprakash Jaganathan
doaj   +1 more source