Steven G. Gilmour

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Analysis of data from non‐orthogonal multistratum designs in industrial experiments

Steven G. Gilmour, Peter Goos, S. Gilmour, 2009 .

Multistratum Response Surface Designs

Steven G. Gilmour, Luzia A. Trinca, L. Trinca, 2001, Technometrics.

Statistical Principles for the Design of Experiments: Frontmatter

Steven G. Gilmour, Roger Mead, Andrew Mead, 2012 .

Multiple randomizations

David R. Cox, Steven G. Gilmour, Klaus Hinkelmann, 2006 .

BLOCKING FACTORIAL DESIGNS IN GREENHOUSE EXPERIMENTS

Steven G. Gilmour, Steve Ferris, 1998 .

Utility based framework for optimal network measurement

Steven G. Gilmour, John A. Schormans, Ben M. Parker, 2015, IET Networks.

Comparisons of augmented pairs designs and subset designs

Steven G. Gilmour, Tanvir Ahmad, Hafiz Muhammad Arshad, 2018, Commun. Stat. Simul. Comput..

The non-orthogonal design of experiments. Discussions. Reply

Kathryn Chaloner, Steven G. Gilmour, S. C. Pearce, 1990 .

Measurement of packet loss probability by optimal design of packet probing experiments

Steven G. Gilmour, John A. Schormans, Ben M. Parker, 2009, IET Commun..

Confidence Regions Around the Ridge of Optimal Response on Fitted Second-Order Response Surfaces

Steven G. Gilmour, Norman R. Draper, N. Draper, 2003, Technometrics.

Statistical Principles for the Design of Experiments: Introduction

Steven G. Gilmour, Roger Mead, Andrew Mead, 2012 .

Statistical Principles for the Design of Experiments: Replication

Steven G. Gilmour, Roger Mead, Andrew Mead, 2012 .

Statistical Principles for the Design of Experiments: Sequential aspects of experiments and experimental programmes

Steven G. Gilmour, Roger Mead, Andrew Mead, 2012 .

Optimum design of experiments for statistical inference

Steven G. Gilmour, Luzia A. Trinca, L. Trinca, 2012 .

A General Strategy for Analyzing Data From Split-Plot and Multistratum Experimental Designs

Steven G. Gilmour, Peter Goos, S. Gilmour, 2012, Technometrics.

Factor Screening via Supersaturated Designs

Steven G. Gilmour, S. Gilmour, 2006 .

Statistical Principles for the Design of Experiments: Multiple experiments and new variation

Steven G. Gilmour, Roger Mead, Andrew Mead, 2012 .

Optimal design of measurements on queueing systems

Steven G. Gilmour, John A. Schormans, Hugo Maruri-Aguilar, 2015, Queueing Syst. Theory Appl..

Desing of experiments for categorical repetated mesasuments in packet communication networks

Steven G. Gilmour, John A. Schormans, Ben M. Parker, 2013 .

Statistical Principles for the Design of Experiments: Experimental units

Steven G. Gilmour, Roger Mead, Andrew Mead, 2012 .

Optimal block designs for experiments on networks

Steven G. Gilmour, Ben M. Parker, Vasiliki Koutra, 2019 .

Statistical Principles for the Design of Experiments: Preface

Steven G. Gilmour, Roger Mead, Andrew Mead, 2012 .

John Lawson: Design and analysis of experiments with SAS

Steven G. Gilmour, 2012, Stat. Comput..

Optimal design of experiments on connected units with application to social networks

Steven G. Gilmour, John A. Schormans, Ben M. Parker, 2017 .

Statistical Principles for the Design of Experiments: References

Steven G. Gilmour, Roger Mead, Andrew Mead, 2012 .

Design of Experiments for Categorical Repeated Measurements in Packet Communication Networks

Steven G. Gilmour, John A. Schormans, Ben M. Parker, 2011, Technometrics.

Discussion of “21st century screening experiments: What, why, and how”

Steven G. Gilmour, 2016 .

Factorial and response surface designs robust to missing observations

Steven G. Gilmour, Marcelo A. da Silva, Luzia A. Trinca, 2017, Comput. Stat. Data Anal..

Optimal Blocked and Split-Plot Designs Ensuring Precise Pure-Error Estimation of the Variance Components

Kalliopi Mylona, Steven G. Gilmour, Peter Goos, 2019, Technometrics.

Improved Split-Plot and Multistratum Designs

Steven G. Gilmour, Luzia A. Trinca, 2015, Technometrics.

Increasing throughput in IEEE 802.11 by optimal selection of backoff parameters

Steven G. Gilmour, John A. Schormans, Ben M. Parker, 2015, IET Networks.

A General Criterion for Factorial Designs Under Model Uncertainty

Steven G. Gilmour, Pi-Wen Tsai, S. Gilmour, 2010, Technometrics.

Split-Plot and Multi-Stratum Designs for Statistical Inference

Steven G. Gilmour, Luzia A. Trinca, L. Trinca, 2017, Technometrics.

Designing field experiments which are subject to representation bias

Rob Deardon, Steven G. Gilmour, Kath Phelps, 2006 .

A novel Bayesian approach to drug design with simple and complex enzymes: Use with lens aldehyde dehydrogenase and the glyoxalase pathway

Steven G. Gilmour, Emma Murphy, M. J. C. Crabbe, 2003 .

Statistical Principles for the Design of Experiments: Designing useful experiments

Steven G. Gilmour, Roger Mead, Andrew Mead, 2012 .

Partially orthogonal blocked three-level response surface designs

Steven G. Gilmour, Heiko Großmann, S. Gilmour, 2021, Econometrics and Statistics.

Block designs for random treatment effects

Steven G. Gilmour, Júlio Sílvio de Sousa Bueno Filho, 2007 .

Some new three-level orthogonal main effects plans robust to model uncertainty

Steven G. Gilmour, Roger Mead, Pi-Wen Tsai, 2004 .

Computer‐based Learning in Statistics: a Problem Solving Approach

Steven G. Gilmour, Adrian Bowman, Neville Davies, 1998 .

Analysis of data from nonorthogonal multi-stratum designs

Steven G. Gilmour, Peter Goos, S. Gilmour, 2006 .

An algorithm for arranging response surface designs in small blocks

Steven G. Gilmour, Luzia A. Trinca, L. Trinca, 2000 .

Augmented Box-Behnken Designs for Fitting Third-Order Response Surfaces

Steven G. Gilmour, Munir Akhtar, Hafiz Muhammad Arshad, 2012 .

Some practical advice on polynomial regression analysis from blocked response surface designs

Steven G. Gilmour, Luzia A. Trinca, L. Trinca, 2000 .

Multilevel Augmented Pairs Second-Order Response Surface Designs and Their Robustness to Missing Data

Steven G. Gilmour, Munir Akhtar, Tanvir Ahmad, 2012 .

Bayesian analysis of agricultural field experiments - Discussion

Peter J. Diggle, Steven G. Gilmour, Chris A. Glasbey, 1999 .

Statistical Principles for the Design of Experiments: Fractional replication

Steven G. Gilmour, Roger Mead, Andrew Mead, 2012 .

The analysis of designed experiments and longitudinal data by using smoothing splines - Discussion

Steven G. Gilmour, Kaye E. Basford, John A. Nelder, 1999 .

Design of Microarray Experiments for Genetical Genomics Studies

Steven G. Gilmour, G. Rosa, S. Gilmour, 2006, Genetics.

Erratum: Effective experimental design: Enzyme kinetics in the bioinformatics era (Drug Discovery Today 7:20 (S187-S191))

Steven G. Gilmour, M. James C. Crabbe, Emma Murphy, 2002 .

Multiple randomizations. Discussion

Steven G. Gilmour, Klaus Hinkelmann, Susan M. Lewis, 2006 .

Fixing a factor in the sequential design of two-level fractional factorial experiments

Steven G. Gilmour, Roger Mead, R. Mead, 1996 .

A Bayesian design criterion for locating the optimum point on a response surface

Steven G. Gilmour, Roger Mead, R. Mead, 2003 .

Projective three-level main effects designs robust to model uncertainty

Steven G. Gilmour, Roger Mead, Pi-Wen Tsai, 2000 .

Controlling processes in food technology by simplifying the canonical form of fitted response surfaces

Steven G. Gilmour, Trevor J. Ringrose, 1999 .

Testing for Lack of Fit in Blocked and Split-Plot Response Surface Designs

Steven G. Gilmour, Peter Goos, 2012 .

Effect of refining and supplementation on the viscosity and energy density of weaning maize porridges

Steven G. Gilmour, S. Gilmour, A. Walker, 1998 .

RESPONSE SURFACE EXPERIMENTS ON PROCESSES WITH HIGH VARIATION

Steven G. Gilmour, Luzia A. Trinca, L. Trinca, 2006 .

A general method of constructing E(s2)‐optimal supersaturated designs

Steven G. Gilmour, Kent M. Eskridge, Roger Mead, 2001 .

A generalized estimating equation method for fitting autocorrelated ordinal score data with an application in horticultural research

Steven G. Gilmour, Nicholas R. Parsons, R. N. Edmondson, 2006 .

Fractional polynomial response surface models

Steven G. Gilmour, Luzia A. Trinca, L. Trinca, 2005 .

The Interpretation of Mallows's CP‐Statistic

Steven G. Gilmour, S. Gilmour, 1996 .

Continuous Production of Oligodextrans via Controlled Hydrolysis of Dextran in an Enzyme Membrane Reactor

Steven G. Gilmour, Robert A. Rastall, S. Gilmour, 2002 .

Large supersaturated designs

Steven G. Gilmour, Kent M. Eskridge, Daryl Travnicek, 2004 .

Three-level main-effects designs exploiting prior information about model uncertainty

Steven G. Gilmour, Roger Mead, Pi Wen Tsai, 2007 .