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Journal articles on the topic 'Asymmetrical factorial experiments'

Author: Grafiati

Published: 8 September 2023

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1

Gupta, V. K., Rajender Parsad, Lal Mohan Bhar, and Basudev Kole. "Supersaturated Designs for Asymmetrical Factorial Experiments." Journal of Statistical Theory and Practice 2, no. 1 (2008): 95–108. http://dx.doi.org/10.1080/15598608.2008.10411863.

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2

El-Helbawy, Abdalla T., Essam A. Ahmed, and Abdullah H. Alharbey. "Optimal designs for asymmetrical factorial paired comparison experiments." Communications in Statistics - Simulation and Computation 23, no. 3 (1994): 663–81. http://dx.doi.org/10.1080/03610919408813192.

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3

KUMAR, PRAKASH, KRISHAN LAL, ANIRBAN MUKHERJEE, UPENDRA KUMAR PRADHAN, MRINMOY RAY, and OM PRAKASH. "Advanced row-column designs for animal feed experiments." Indian Journal of Animal Sciences 88, no. 4 (2023): 499–503. http://dx.doi.org/10.56093/ijans.v88i4.78895.

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Inappropriate statistical designs may misinterpret results of animal feed experiments. Thus complete statistical designs can make animal feed research more appropriate and cost effective. Usually factorial row-column designs are used when the heterogeneity in the experimental material is in two directions and the experimenter is interested in studying the effect of two or more factors simultaneously. Attempts have been to develop the method of construction of balanced nested row column design under factorial setup. Factorial experiments are used in designs when two or more factors have same le

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4

Agarwal, S. B., and M. N. Das. "Asymmetrical Factorial Type Switch over Designs." Calcutta Statistical Association Bulletin 35, no. 3-4 (1986): 149–56. http://dx.doi.org/10.1177/0008068319860304.

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In the present paper an attempt has been made to construct asymmetrical factorial type switch over designs having strip type arrangement of combination of the levels. To start with two factors at different levels have been considered. One factor has number of levels larger by one compared to the number of levels of other factor. The sequences of levels of second factor are associated with each level symbol of first factor. The situation is similar to strip plot designs in agricultural experiments. Method of construction along with analysis of these designs has been described in this paper.

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5

Divecha, Jyoti, and Bharat Tarapara. "Small, balanced, efficient, optimal, and near rotatable response surface designs for factorial experiments asymmetrical in some quantitative, qualitative factors." Quality Engineering 29, no. 2 (2016): 196–210. http://dx.doi.org/10.1080/08982112.2016.1217338.

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6

Luis Pérez, Carmelo J. "On the Application of a Design of Experiments along with an ANFIS and a Desirability Function to Model Response Variables." Symmetry 13, no. 5 (2021): 897. http://dx.doi.org/10.3390/sym13050897.

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In manufacturing engineering, it is common to use both symmetrical and asymmetrical factorial designs along with regression techniques to model technological response variables, since the in-advance prediction of their behavior is of great importance to determine the levels of variation that lead to optimal response values to be obtained. For this purpose, regression techniques based on the response surface method combined with a desirability function for multi-objective optimization are commonly employed, since it is usual to find manufacturing processes that require simultaneous optimization

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7

Voss, D. T. "On generalizations of the classical method of confounding to asymmetric factorial experiments." Communications in Statistics - Theory and Methods 15, no. 4 (1986): 1299–314. http://dx.doi.org/10.1080/03610928608829183.

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8

Das, Dipa Rani, and Sanjib Ghosh. "An Alternative Method of Construction and Analysis of Asymmetrical Factorial Experiment of the type 6x2² in Blocks of Size 12." Chittagong University Journal of Science 40, no. 1 (2018): 137–50. http://dx.doi.org/10.3329/cujs.v40i1.47920.

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This paper focuses on the construction and analysis of an extra ordinary type of asymmetrical factorial experiment which corresponds to fraction of a symmetrical factorial experiment as indicated by Das (1960). For constructing this design, we have used 3 choices and for each choice we have used 5 different cases. Finding the block contents for each case we have seen that there are mainly two different cases for each choice. In case of analysis of variance, we have seen that, for the case where the highest order interaction effect is confounded in 4 replications, the loss of information is sam

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9

Chatterjee, K., P. Angelopoulos, and C. Koukouvinos. "A lower bound to the measure of optimality for main effect plans in the general asymmetric factorial experiments." Statistics 47, no. 2 (2013): 405–10. http://dx.doi.org/10.1080/02331888.2011.589905.

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10

Rubarth, Kerstin, Paavo Sattler, Hanna Gwendolyn Zimmermann, and Frank Konietschke. "Estimation and Testing of Wilcoxon–Mann–Whitney Effects in Factorial Clustered Data Designs." Symmetry 14, no. 2 (2022): 244. http://dx.doi.org/10.3390/sym14020244.

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Clustered data arise frequently in many practical applications whenever units are repeatedly observed under a certain condition. One typical example for clustered data are animal experiments, where several animals share the same cage and should not be assumed to be completely independent. Standard methods for the analysis of such data are Linear Mixed Models and Generalized Estimating Equations—however, checking their assumptions is not easy, especially in scenarios with small sample sizes, highly skewed, count, and ordinal or binary data. In such situations, Wilcoxon–Mann–Whitney type effects

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11

Ródenas-García, José F., Ramón A. Otón-Martínez, Joaquín Sancho-Val, Oscar de Francisco Ortiz, Roberto Jiménez Pacheco, and Iván Gil Garnacho. "Experimental Evaluation of the Factors That Influence Cylindrical Water Projection Devices against IEDs." Applied Sciences 13, no. 2 (2023): 1167. http://dx.doi.org/10.3390/app13021167.

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Terrorists usually employ Improvised Explosive Devices (IEDs) to cause maximum damage with a single action, in asymmetric war scenarios. In the counter-terrorism fight, bomb disposal specialists have to combat these instruments by safeguarding their lives, avoiding fortuitous IED explosion, and preserving evidence of the device that could lead to the capture of the perpetrators. Some very effective deactivation tools that combine these features are high-speed water-explosive projection devices. To understand and quantify the impacts of the many factors that intervene in their operation and eff

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12

GIORGI, M. A. "RECENT RESULTS ON CP VIOLATION IN B DECAY." International Journal of Modern Physics A 20, no. 22 (2005): 5069–79. http://dx.doi.org/10.1142/s0217751x05028594.

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This paper, 40 years after the discovery of CP violation 1 in neutral kaon decay in the famous experiment of Brookhaven, presents the most recent results on the CP violation in the b sector as come out of the experiments BABAR and BELLE that are taking data since 1999 at PEPII and KEKB e+e- asymmetric B -Factories operating at the center of mass energy corresponding to the mass of the ϒ4S. After their initial discovery of the CP violation and the measurement of sin2β in 2001 2, now is the time of the observation of direct CP violation by BABAR, confirmed by BELLE, the initial measurements of α

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13

Suntara, Chanon, Anusorn Cherdthong, Metha Wanapat, et al. "Isolation and Characterization of Yeasts from Rumen Fluids for Potential Use as Additives in Ruminant Feeding." Veterinary Sciences 8, no. 3 (2021): 52. http://dx.doi.org/10.3390/vetsci8030052.

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Saccharomyces cerevisiae is a yeast strain often used to improve the feed quality of ruminants. However, S. cerevisiae has limited capacity to provide biomass when inoculated with carbon sources and a low ability to produce cellulase enzymes. Here, we hypothesized that yeast in the rumen produces a large amount of biomass and could release cellulase enzymes to break down fiber content. Therefore, the aim of this study was to screen, isolate and identify yeast from the rumen fluids of Holstein Friesian steers and measure the efficiency of biomass production and cellulase activity. A fermentatio

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14

MAINARDI, Pedro Henrique, and Ederio Dino BIDOIA. "FUNDAMENTAL CONCEPTS AND RECENT APPLICATIONS OF FACTORIAL STATISTICAL DESIGNS." Brazilian Journal of Biometrics 40, no. 1 (2022). http://dx.doi.org/10.28951/bjb.v40i1.552.

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Factorial designs have been increasingly used in scientific investigations and technological development. The designs, through the use of matrices with all the treatment combinations, have been capable to effectively characterize the relationships between the variables of multi-factor experiments, assess the experimental variabilities, and derive mathematical functions that represent the behavior of the responses. Factorial designs were fractionalized, which substantially reduced the number of treatments without the loss of relevant information. The addition of central and star points to the f

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15

Zhang, Chunyu, Fang Xu, Chengdong Wu, and Chenglong Xu. "A lightweight multi-dimension dynamic convolutional network for real-time semantic segmentation." Frontiers in Neurorobotics 16 (December 15, 2022). http://dx.doi.org/10.3389/fnbot.2022.1075520.

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Semantic segmentation can address the perceived needs of autonomous driving and micro-robots and is one of the challenging tasks in computer vision. From the application point of view, the difficulty faced by semantic segmentation is how to satisfy inference speed, network parameters, and segmentation accuracy at the same time. This paper proposes a lightweight multi-dimensional dynamic convolutional network (LMDCNet) for real-time semantic segmentation to address this problem. At the core of our architecture is Multidimensional Dynamic Convolution (MDy-Conv), which uses an attention mechanism

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