Some results on the choice of run order for experimental designs with correlated errors : a thesis presented in partial fulfilment of the requirements for the degree of M.Sc. in Statistics at Massey University

dc.contributor.author	Rohan, V. M
dc.date.accessioned	2018-08-29T01:46:29Z
dc.date.available	2018-08-29T01:46:29Z
dc.date.issued	1998
dc.description.abstract	This thesis examines the efficiency of some commonly used experimental designs in situations where the assumption of independent errors is violated. In particular this research mainly involves finding efficient run orders for various models of two level factorial experiments, three level factorial experiments and response surface designs when errors are assumed to follow either first order moving average model or first order autoregressive model. In this thesis, attention is given to systematic methods of allocating treatments based on various algorithms which provide more efficient designs and lead to good estimates of the parameters.	en_US
dc.identifier.uri	http://hdl.handle.net/10179/13653
dc.language.iso	en	en_US
dc.publisher	Massey University	en_US
dc.rights	The Author	en_US
dc.subject	Factorial experiment designs	en_US
dc.subject	Correlation (Statistics)	en_US
dc.subject	Error analysis (Mathematics)	en_US
dc.title	Some results on the choice of run order for experimental designs with correlated errors : a thesis presented in partial fulfilment of the requirements for the degree of M.Sc. in Statistics at Massey University	en_US
dc.type	Thesis	en_US
massey.contributor.author	Rohan, V.M.
thesis.degree.discipline	Statistics	en_US
thesis.degree.grantor	Massey University	en_US
thesis.degree.level	Masters	en_US
thesis.degree.name	Master of Science (M. Sc.)	en_US

Now showing 1 - 2 of 2

Now showing 1 - 1 of 1