William E. Strawderman - researchr alias

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Viewing Publication 1 - 11 from 11

2020

On shrinkage estimation for balanced loss functionsÉric Marchand, William E. Strawderman. ma, 175, 2020. [doi]

2019

On efficient prediction and predictive density estimation for normal and spherically symmetric modelsDominique Fourdrinier, Éric Marchand, William E. Strawderman. ma, 173:18-25, 2019. [doi]

Improved loss estimation for a normal mean matrixTakeru Matsuda, William E. Strawderman. ma, 169:300-311, 2019. [doi]

2017

A sharp boundary for SURE-based admissibility for the normal means problem under unknown scaleYuzo Maruyama, William E. Strawderman. ma, 162:134-151, 2017. [doi]

2015

On predictive density estimation for location families under integrated squared error lossTatsuya Kubokawa, Éric Marchand, William E. Strawderman. ma, 142:57-74, 2015. [doi]

2014

Stochastic domination in predictive density estimation for ordered normal means under α-divergence lossYuan-Tsung Chang, William E. Strawderman. ma, 128:1-9, 2014. [doi]

2013

Minimaxity in predictive density estimation with parametric constraintsTatsuya Kubokawa, Éric Marchand, William E. Strawderman, Jean-Philippe Turcotte. ma, 116:382-397, 2013. [doi]

2011

A unified approach to non-minimaxity of sets of linear combinations of restricted location estimatorsTatsuya Kubokawa, William E. Strawderman. ma, 102(10):1429-1444, 2011. [doi]

Bayes minimax estimation of the multivariate normal mean vector for the case of common unknown varianceS. Zinodiny, William E. Strawderman, A. Parsian. ma, 102(9):1256-1262, 2011. [doi]

2009

An extended class of minimax generalized Bayes estimators of regression coefficientsYuzo Maruyama, William E. Strawderman. ma, 100(10):2155-2166, 2009. [doi]

1989

Statistical Analysis with Missing Data (Roderick J. A. Little and Donald B. Rubin)William E. Strawderman. siamrev, 31(2):348-349, 1989. [doi]

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