Bi-Objective mathematical model for optimal sequencing of two-level factorial designs
Conducting sequencing experiments with good statistical properties and low cost is a crucial
challenge for both researchers and practitioners. The main reason for this challenge is the …
challenge for both researchers and practitioners. The main reason for this challenge is the …
Evaluation of Factors Contributing to Damping of Coated and Uncoated Titanium Plates
DW Lee - 2006 - scholar.afit.edu
Abstract High Cycle Fatigue (HCF) is the leading cause of component failure in gas turbine
engines today, which poses great risk to aircraft, engines, and their crews. Mitigation of HCF …
engines today, which poses great risk to aircraft, engines, and their crews. Mitigation of HCF …
[PDF][PDF] Construction of linear trend free fractional factorial designs using linear codes
P Singh, P Thapliyal, V Budhraja - Int. J. Agricult. Stat. Sci, 2016 - researchgate.net
In some situations experimental scheme may suffer from an unidentified and uncontrollable
variations that are highly correlated with the time or position in which they occur. In these …
variations that are highly correlated with the time or position in which they occur. In these …
[PDF][PDF] Unreplicated fractional factorials, analysis with the half-normal plot and randomization of the run order
J Kunert - 2011 - d-nb.info
There is an ongoing discussion whether it is wise to randomize the run order of a factorial
experiment if there is concern about a possible time trend in the experiment. It can be …
experiment if there is concern about a possible time trend in the experiment. It can be …
[引用][C] Randomization in Experimental Designs
J Kunert - Encyclopedia of Statistics in Quality and Reliability, 2008 - Wiley Online Library
The article describes the principal ideas of randomization. It points out that randomization
can be used to validate a model for analysis.
can be used to validate a model for analysis.
[引用][C] Prof. Kayode Samuel ADEKEYE, PhD, FRSS, FNSA, CStat.(London)(Professor of Statistics)
F NAMES - Quality Assurance, 2016