scholarly journals Construction of blocked designs with multi block variables

2021 ◽  
Vol 6 (6) ◽  
pp. 6293-6308 ◽  
Author(s):  
Yuna Zhao ◽  
Keyword(s):  
Block Variables

scholarly journals General Minimum Lower-Order Confounding Designs with Multi-Block Variables

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Yuna Zhao
Keyword(s):  
Lower Order ◽  
Treatment Effects ◽  
The Other ◽  
Construction Methods ◽  
Block Variables ◽  
Single Block ◽  
Theoretical Results

Blocking the inhomogeneous units of experiments into groups is an efficient way to reduce the influence of systematic sources on the estimations of treatment effects. In practice, there are two types of blocking problems. One considers only a single block variable and the other considers multi-block variables. The present paper considers the blocking problem of multi-block variables. Theoretical results and systematical construction methods of optimal blocked 2 n − m designs with N / 4 + 1 ≤ n ≤ 5 N / 16 are developed under the prevalent general minimum lower-order confounding (GMC) criterion, where N = 2 n − m .

scholarly journals Impact of ivermectin-resistant gastrointestinal nematodes in feedlot cattle in Argentina

2012 ◽  
Vol 32 (5) ◽  
pp. 419-423 ◽  
Author(s):  
Luis E. Fazzio ◽  
Nicolas Yacachury ◽  
Walter R. Galvan ◽  
Elias Peruzzo ◽  
Ricardo O. Sánchez ◽  
...  
Keyword(s):  
Mixed Model ◽  
Gastrointestinal Nematodes ◽  
Feedlot Cattle ◽  
Gastrointestinal Parasites ◽  
Average Weight ◽  
Buenos Aires Province ◽  
Fecal Samples ◽  
Block Variables ◽  
Feedlot Calves ◽  
The Impact

The aim was to evaluate for 75 days the impact on production of the remaining burden of ivermectin (IVM)-resistant parasites in naturally infected feedlot calves. The herds came from tick-infested areas of cattle breeding where the systematic use of IVM to control tick increases the gastrointestinal parasites resistant to this drug. This investigation was carried out in two commercial feedlots in Buenos Aires province. In feedlot A, two groups of 35 animal each received IVM 1% and the other received ricobendazole (RBZ) 10% respectively. The same was done in feedlot B. On day 0, two groups of 35 animals were made in feedlots A and B. Fecal samples were taken on days 0, 22, 54 and 75 pos-treatment (PT), and body weight was registered, from each animal. Fecal samples were processed for individual count of eggs per gram (EPG) and pooled fecal culture was carried out for identification of the parasite genus in each sampling. Fecal egg count reduction test (FECR) was calculated on day 22 PT. The study design used was a totally randomized block, with commercial feedlot and sex as block variables. For data analysis, a mixed model of the SAS statistical program was used. The FECR average on day 22 was 28.4% in the IVM group, and 94,2 % in the RBZ group . From this date on, significant differences in EPG were kept until day 54. EPG counts were only equal near the end of the trial, on day 75 (p=0.16). In both commercial feedlots, especially in the IVM group, Cooperia spp. was the most prevalent parasite in the fecal cultures. Significant differences in weight (P<0.01) on post-treatment day 75 was found between the average weight in the RBZ and the IVM group (246 vs. 238 kg respectively), what means a difference of 8.3% in gains. The importance for production in the antiparasite failure treatment in commercial feedlots was demonstrated, and the need of pos-treatment controls to evaluate the efficacy of the antiparasitic administered is emphasized.

scholarly journals Velocity and starting block variables during a 30 m sprint run

2010 ◽  
Vol 44 (Suppl_1) ◽  
pp. i25-i25
Author(s):  
S. Ilbeigi ◽  
F. Hagman ◽  
B. Van Gheluwe
Keyword(s):  
Block Variables

Some results on two-level regular designs with multi block variables containing clear effects

2017 ◽  
Vol 60 (5) ◽  
pp. 1569-1582 ◽  
Author(s):  
Qianqian Zhao ◽  
Shengli Zhao
Keyword(s):  
Block Variables

Block variables for deterministic aperiodic sequences

1997 ◽  
Vol 30 (20) ◽  
pp. 7057-7065 ◽  
Author(s):  
Michael Hörnquist
Keyword(s):  
Block Variables

Optimal Two-Level Regular Designs with Multi Block Variables

2011 ◽  
Vol 5 (1) ◽  
pp. 161-178 ◽  
Author(s):  
Runchu Zhang ◽  
Peng Li ◽  
Jialin Wei
Keyword(s):  
Block Variables
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