Trevor J. Ringrose

发表

An Artificial Neural Network Based Metamodel for Analysing a Stochastic Combat Simulation

Ken R. McNaught, Fasihul M. Alam, Trevor J. Ringrose, 2006, Int. J. Enterp. Inf. Syst..

GAMLSS and neural networks in combat simulation metamodelling: A case study

Trevor J. Ringrose, P. Boutselis, T. Ringrose, 2013, Expert Syst. Appl..

Using Morris' randomized OAT design as a factor screening method for developing simulation metamodels

Ken R. McNaught, Fasihul M. Alam, Trevor J. Ringrose, 2004, Proceedings of the 2004 Winter Simulation Conference, 2004..

Exploratory analysis of European Professional Golf Association statistics

Trevor J. Ringrose, Robert Ketzscher, 2002 .

Improved Fitting of Constrained Multivariate Regression Models using Automatic Differentiation

Trevor J. Ringrose, Shaun A. Forth, 2002, COMPSTAT.

Simplifying Multivariate Second-Order Response Surfaces by Fitting Constrained Models Using Automatic Differentiation

Trevor J. Ringrose, Shaun A. Forth, S. Forth, 2005, Technometrics.

A comparison of experimental designs in the development of a neural network simulation metamodel

Ken R. McNaught, Fasihul M. Alam, Trevor J. Ringrose, 2004, Simul. Model. Pract. Theory.

Neutral umpires and leg before wicket decisions in test cricket

Trevor J. Ringrose, 2006 .

Bone Counts and Statistics: A Critique

Trevor J. Ringrose, T. Ringrose, 1993 .

BOOTSTRAP CONFIDENCE REGIONS IN NON-SYMMETRICAL CORRESPONDENCE ANALYSIS

Rosaria Lombardo, Trevor J. Ringrose, R. Lombardo, 2012 .

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

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

Alternative confidence regions for canonical variate analysis

Trevor J. Ringrose, 1996 .