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Communications in Statistics - Theory and Methods Volume 43, 2014 - Issue 6
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Original Articles

Bayesian D-Optimal Designs for Poisson Regression Models

Ying Zhang Genentech Inc, San Francisco, California, USA
&
Keying Ye Department of Management Science and Statistics, University of Texas at San Antonio, San Antonio, Texas, USACorrespondence[email protected]
Pages 1234-1247 | Received 30 Mar 2011, Accepted 17 Feb 2012, Published online: 04 Mar 2014

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H. Jafari & Sh. Pirmohamadi. (2017) The Bayesian D-optimal design for simple beta regression model in two cases (both known and unknown nuisance parameter). Journal of Statistical Computation and Simulation 87:6, pages 1230-1254.
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Articles from other publishers (3)

Xiaojian Xu & Sanjoy K. Sinha. (2021) Robust designs for generalized linear mixed models with possible model misspecification. Journal of Statistical Planning and Inference 210, pages 20-41.
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Hongyan Jiang & Yichuan Zhao. 2021. Modern Statistical Methods for Health Research. Modern Statistical Methods for Health Research 205 220 .
Belmiro P. M. Duarte & Guillaume Sagnol. (2019) Approximate and exact optimal designs for $$2^k$$ factorial experiments for generalized linear models via second order cone programming. Statistical Papers 61:6, pages 2737-2767.
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