Singular prior distributions in Bayesian D-optimal design for nonlinear models

JOURNAL ARTICLE published 2018 in Statistica Sinica

Authors: Timothy Waite

Design for decision in het clinische experiment*

JOURNAL ARTICLE published December 1958 in Statistica Neerlandica

Authors: D. K. de Jongh

Constrained D-optimal Design for Paid Research Study

JOURNAL ARTICLE published 2025 in Statistica Sinica

Authors: Yifei Huang | Liping Tong | Jie Yang

Optimal design for experiments with possibly incomplete observations

JOURNAL ARTICLE published 2018 in Statistica Sinica

Authors: Kim May Lee | Stefanie Biedermann | Robin Mitra

Optimal Design for Multiple Regression with Information Driven by the Linear Predictor

JOURNAL ARTICLE published 2017 in Statistica Sinica

Authors: Dennis Schmidt | Rainer Schwabe

Optimal design when outcome values are not missing at random

JOURNAL ARTICLE published 2018 in Statistica Sinica

Authors: Kim May Lee | Robin Mitra | Stefanie Biedermann

On randomization, modeling and experimental design: some remarks on a paper by De Vos

JOURNAL ARTICLE published December 1993 in Statistica Neerlandica

Authors: M.J.W. Jansen

Optimal designs for generalized linear models with multiple design variables

JOURNAL ARTICLE published 1 June 2011 in Statistica Sinica

Authors: Min Yang | Bin Zhang | Shuguang Huang

Optimal versus orthogonal and equivalent‐estimation design of blocked and split‐plot experiments

JOURNAL ARTICLE published August 2006 in Statistica Neerlandica

Authors: Peter Goos

New families of Q_B-optimal saturated two-level main effects screening designs

JOURNAL ARTICLE published 2016 in Statistica Sinica

Authors: Pi-Wen Tsai | Steven Gilmour

The design of optimal committee decisions*)^,**)

JOURNAL ARTICLE published September 1962 in Statistica Neerlandica

Authors: P. J. M. van den Bogaard | J. Versluis

On randomization, modeling and experimental design; a new example in an old discussion

JOURNAL ARTICLE published December 1991 in Statistica Neerlandica

Authors: A.F. de Vos