Partially Balanced Incomplete Block Designs [PDF]
In balanced incomplete block designs, each pair of treatments is compared with equal precision, and each treatment is paired with every other treatment an equal number of times with in a common block; A is a constant for all treatments.
Shih, Yaw-Tarng
core +5 more sources
Identifying the best FDA-endorsed healthy label designs through best-worst scaling experiment [PDF]
Objective: This study aims to assess consumer preferences for fifteen proposed front-of-package ‘Healthy’ label candidates under the Food and Drug Administration’s (FDA) of the US updated guidelines for the ‘Healthy’ label.
Jianhui Liu +3 more
doaj +2 more sources
Understanding the preference of online health information seeking among college students using the best-worst scaling method [PDF]
BackgroundWith the overwhelming availability of online health information and high prevalence of health misinformation, it is vital to understand the status and key influencing factors of its use among individuals.
Dan Wang +8 more
doaj +2 more sources
A quasidouble resolvable 2–(49, 7, 2) design
The very first example of a quasidouble resolvable 2–(49, 7, 2) design is given.
Shyam Saurabh, Kishore Sinha
doaj +1 more source
The purpose of this paper was to introduce the model, calculation formulas and the SAS implementation of the analysis of variance for the quantitative data with balanced incomplete block design.
Hu Chunyan, Hu Liangping
doaj +1 more source
Analysis of Covariance of Reinforced Balanced Incomplete Block Designs With a Single Explanatory Variable [PDF]
Reinforced balanced incomplete block designs (BIBDs) are very useful in statistical planning of experiments as they can be constructed for any number of treatments for given numbers of replications.
D.K. Ghosh, M.G. Bhatt, S.C. Bagui
doaj +1 more source
Block Intersections in Balanced Incomplete Block Designs [PDF]
One of the most interesting of the smaller BIBD's is the system (8, 14, 7, 4, 3), where we write the parameters in the standard order v, b, r, k, λ. One representation of a design with these parameters is 1248, 3567; 2358, 1467; 3468, 1257; 4578, 1236; 5618,2347; 6728,1345; 7138,2456.
Stanton, R. G., Sprott, D. A.
openaire +1 more source
Sparse multi‐trait genomic prediction under balanced incomplete block design
Sparse testing is essential to increase the efficiency of the genomic selection methodology, as the same efficiency (in this case prediction power) can be obtained while using less genotypes evaluated in the fields.
Osval A. Montesinos‐López +4 more
doaj +1 more source
New Results Regarding the Construction Method for D‑optimal Chemical Balance Weighing Designs
We study an experiment in which we determine unknown measurements of p objects in n weighing operations according to the model of the chemical balance weighing design. We determine a design which is D‑optimal. For the construction of the D‑optimal design,
Bronisław Ceranka, Małgorzata Graczyk
doaj +1 more source
Notes on the Regular E-Optimal Spring Balance Weighing Designs with Correlated Errors
The paper deals with the estimation problem of individual weights of objects in Eoptimal spring balance weighing design. It is assumed that errors are equal correlated.
Bronisław Ceranka +1 more
doaj +1 more source

