Results 61 to 70 of about 18,422 (208)

SAS macro programme for Bang’s Blinding Index to assess and visualise the success of blinding in randomised controlled trials

General Psychiatry
This paper aims to present a Statistical Analysis Software (SAS) macro %BBIplus, offering estimation and visualisation methods for the Bang’s Blinding Index (BBI) for randomised controlled trials (RCTs) with various designs.
Hongqiu Gu, Zhen Wang, Yangfeng Wu, Jiani Wu, Zongshi Qin, Toshiaki Furukawa, Yongpei Yu, Dongdong Shi   +7 more
doaj   +1 more source

Understanding Factorial Designs, Main Effects, and Interaction Effects: Simply Explained with a Worked Example

Indian Journal of Psychological Medicine
A factorial design examines the effects of two independent variables on a single, continuous dependent variable. The statistical test employed to analyze the data is a two-way analysis of variance (ANOVA).
Chittaranjan Andrade
doaj   +1 more source

Space-Filling Fractional Factorial Designs

, 2018
Fractional factorial designs are widely used in various scientific investigations and industrial applications. Level permutation of factors could alter their geometrical structures and statistical properties. This article studies space-filling properties
Yong-Dao Zhou (3110709), Hongquan Xu (3110712)   +1 more
core   +1 more source

On the Use of the FuzzyARTMAP Neural Network for Pattern Recognition in Statistical Process Control using a Factorial Design

International Journal of Computers Communications & Control, 2010
Time-series statistical pattern recognition is of prime importance in statistics, especially in quality control techniques for manufacturing processes. A frequent problem in this application is the complexity when trying to determine the behaviour (pattern) from sample data.
José Antonio Vázquez-López, Ismael López-Juárez, Mario Peña-Cabrera   +2 more
openaire   +2 more sources

Bayesian Design and Analysis of Small Multifactor Industrial Experiments

, 2011
PhDUnreplicated two level fractional factorial designs are a common type of experimental design used in the early stages of industrial experimentation.
Kapoor, Deepa
core  

Robust Designs For Binary Data: Applications Of Simulated Annealing

, 2008
When the aim of an experiment is the estimation of a Generalised Linear Model (GLM), standard designsfrom linear model theory may prove inadequate. This paper describes a flexible approach for findingdesigns for experiments to estimate GLMs through the ...
Woods, D. C.
core  

Decomposition tables for experiments I. A chain of randomizations

, 2009
One aspect of evaluating the design for an experiment is the discovery of the relationships between subspaces of the data space. Initially we establish the notation and methods for evaluating an experiment with a single randomization.
Bailey, Rosemary Anne, Brien, C. J., R. A. Bailey, C. J. Brien   +3 more
core   +1 more source

Statistical isomorphism of three-level factional factorial designs

, 2008
[[abstract]]From a statistician's standpoint, the interesting kind of isomorphism for fractional factorial designs depends on the statistical application.
Tsai, PW; Gilmour, SG; Mead, R
core  

Combinatorial optimization of pathway, process and media for the production of p‐coumaric acid by Saccharomyces cerevisiae

Microbial Biotechnology
Microbial cell factories are instrumental in transitioning towards a sustainable bio‐based economy, offering alternatives to conventional chemical processes.
Sara Moreno‐Paz, Rianne van derHoek, Elif Eliana, Vitor A. P. Martins dos Santos, Joep Schmitz, Maria Suarez‐Diez   +5 more
doaj   +1 more source

Statistical isomorphism of three-level factional factorial designs

, 2006
From a statistician's standpoint, the interesting kind of isomorphism for fractional factorial designs depends on the statistical application. Combinatorially isomorphic fractional factorial designs may have different statistical properties when factors ...
Gilmour, S. G., Mead, R., Tsai, P. W.
core