William E. Strawderman

5.3k total citations
171 papers, 2.7k citations indexed

About

William E. Strawderman is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Artificial Intelligence. According to data from OpenAlex, William E. Strawderman has authored 171 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 127 papers in Statistics and Probability, 38 papers in Statistics, Probability and Uncertainty and 30 papers in Artificial Intelligence. Recurrent topics in William E. Strawderman's work include Statistical Methods and Inference (78 papers), Advanced Statistical Methods and Models (65 papers) and Statistical Methods and Bayesian Inference (55 papers). William E. Strawderman is often cited by papers focused on Statistical Methods and Inference (78 papers), Advanced Statistical Methods and Models (65 papers) and Statistical Methods and Bayesian Inference (55 papers). William E. Strawderman collaborates with scholars based in United States, Japan and France. William E. Strawderman's co-authors include George Casella, Edwin J. Green, Dominique Fourdrinier, Éric Marchand, Minge Xie, Kesar Singh, Arthur Cohen, Min‐Te Chao, James O. Berger and Martin T. Wells and has published in prestigious journals such as Journal of the American Statistical Association, Biological Psychiatry and Biometrics.

In The Last Decade

William E. Strawderman

160 papers receiving 2.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
William E. Strawderman United States 28 1.8k 513 480 338 169 171 2.7k
Probal Chaudhuri India 27 1.5k 0.8× 538 1.0× 432 0.9× 248 0.7× 148 0.9× 61 2.6k
C. R. Rao United States 21 1.1k 0.6× 507 1.0× 298 0.6× 334 1.0× 170 1.0× 66 2.5k
Ricardo Fraiman Uruguay 27 1.6k 0.9× 777 1.5× 471 1.0× 182 0.5× 146 0.9× 88 2.7k
Kesar Singh United States 21 2.0k 1.1× 534 1.0× 670 1.4× 307 0.9× 300 1.8× 48 2.5k
Ronald H. Randles United States 25 2.0k 1.1× 451 0.9× 565 1.2× 363 1.1× 215 1.3× 76 3.1k
Thomas P. Hettmansperger United States 31 2.6k 1.4× 463 0.9× 808 1.7× 463 1.4× 121 0.7× 125 3.4k
D. A. S. Fraser Canada 29 1.9k 1.0× 770 1.5× 506 1.1× 274 0.8× 121 0.7× 161 2.9k
Jayanta K. Ghosh India 26 1.9k 1.1× 1.2k 2.3× 315 0.7× 294 0.9× 254 1.5× 133 3.0k
William R. Schucany United States 26 1.3k 0.7× 507 1.0× 341 0.7× 333 1.0× 355 2.1× 109 2.4k
David E. Tyler United States 26 1.5k 0.8× 483 0.9× 367 0.8× 118 0.3× 134 0.8× 63 2.6k

Countries citing papers authored by William E. Strawderman

Since Specialization
Citations

This map shows the geographic impact of William E. Strawderman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by William E. Strawderman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William E. Strawderman more than expected).

Fields of papers citing papers by William E. Strawderman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William E. Strawderman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by William E. Strawderman. The network helps show where William E. Strawderman may publish in the future.

Co-authorship network of co-authors of William E. Strawderman

This figure shows the co-authorship network connecting the top 25 collaborators of William E. Strawderman. A scholar is included among the top collaborators of William E. Strawderman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with William E. Strawderman. William E. Strawderman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Maruyama, Yuzo, Tatsuya Kubokawa, & William E. Strawderman. (2023). Stein Estimation. 2 indexed citations
2.
Shinozaki, Nobuo, et al.. (2019). Pitman closeness domination in predictive density estimation for two-ordered normal means under $$\alpha$$-divergence loss. Japanese Journal of Statistics and Data Science. 3(1). 1–21. 1 indexed citations
3.
Marchand, Éric, et al.. (2017). On predictive density estimation for Gamma models with parametric constraints. Journal of Statistical Planning and Inference. 185. 56–68. 9 indexed citations
4.
Maruyama, Yuzo & William E. Strawderman. (2017). A sharp boundary for SURE-based admissibility for the normal means problem under unknown scale. Journal of Multivariate Analysis. 162. 134–151. 3 indexed citations
5.
Kubokawa, Tatsuya, Éric Marchand, & William E. Strawderman. (2015). On predictive density estimation for location families under integrated squared error loss. Journal of Multivariate Analysis. 142. 57–74. 9 indexed citations
6.
Strawderman, William E., et al.. (2014). Stochastic domination in predictive density estimation for ordered normal means underα-divergence loss. Journal of Multivariate Analysis. 128. 1–9. 2 indexed citations
7.
Canu, Stéphane, et al.. (2013). AIC and Cp as estimators of loss for spherically symmetric distributions. arXiv (Cornell University). 3 indexed citations
8.
Fourdrinier, Dominique & William E. Strawderman. (2008). A unified and generalized set of shrinkage bounds on minimax Stein estimates. Journal of Multivariate Analysis. 99(10). 2221–2233. 4 indexed citations
9.
Fourdrinier, Dominique, et al.. (2006). Bayes minimax estimators of the mean of a scale mixture of multivariate normal distributions. Journal of Multivariate Analysis. 99(1). 74–93. 7 indexed citations
10.
Marchand, Éric & William E. Strawderman. (2004). Estimation in restricted parameter spaces: a review. Project Euclid (Cornell University). 21–44. 42 indexed citations
11.
Strawderman, William E., et al.. (1996). IMPROVING ON THE MLE OF A POSITIVE NORMAL MEAN. Statistica Sinica. 6(1). 259–274. 16 indexed citations
12.
Fourdrinier, Dominique & William E. Strawderman. (1996). A Paradox Concerning Shrinkage Estimators: Should a Known Scale Parameter Be Replaced by an Estimated Value in the Shrinkage Factor?. Journal of Multivariate Analysis. 59(2). 109–140. 16 indexed citations
13.
Strawderman, William E., et al.. (1995). Sequential estimation of the variance of a normal distribution. Sequential Analysis. 14(4). 361–374.
14.
Cellier, Dominic, Dominique Fourdrinier, & William E. Strawderman. (1995). Shrinkage Positive Rule Estimators for Spherically Symmetrical Distributions. Journal of Multivariate Analysis. 53(2). 194–209. 4 indexed citations
15.
Strawderman, William E., et al.. (1995). Improving on the Positive Part of the UMVUE of a Noncentrality Parameter of a Noncentral Chi-Square Distribution. Journal of Multivariate Analysis. 53(1). 52–66. 4 indexed citations
16.
Strawderman, William E., et al.. (1992). Stein estimation for non-normal spherically symmetric location families in three dimensions. Journal of Multivariate Analysis. 42(1). 35–50. 5 indexed citations
17.
Strawderman, William E., et al.. (1991). Improved estimates of location in the presence of an unknown scale. Journal of Multivariate Analysis. 39(2). 305–314. 4 indexed citations
18.
Strawderman, William E., et al.. (1990). Minimax estimation of means of multivariate normal mixtures. Journal of Multivariate Analysis. 35(2). 141–150. 4 indexed citations
19.
Strawderman, William E.. (1974). Minimax estimation of location parameters for certain spherically symmetric distributions. Journal of Multivariate Analysis. 4(3). 255–264. 41 indexed citations
20.
Chao, Min‐Te & William E. Strawderman. (1972). Negative Moments of Positive Random Variables. Journal of the American Statistical Association. 67(338). 429–431. 87 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Probal Chaudhuri Breakdown of academic impact, for papers by C. R. Rao Breakdown of academic impact, for papers by Ricardo Fraiman Breakdown of academic impact, for papers by Kesar Singh Breakdown of academic impact, for papers by Ronald H. Randles Breakdown of academic impact, for papers by Thomas P. Hettmansperger Breakdown of academic impact, for papers by D. A. S. Fraser Breakdown of academic impact, for papers by Jayanta K. Ghosh Breakdown of academic impact, for papers by William R. Schucany Breakdown of academic impact, for papers by David E. Tyler
Rankless by CCL
2026