Gotowe bibliografie tematyczne / Confounded symmetrical factorial design

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Gotowa bibliografia na temat „Confounded symmetrical factorial design”

Autor: Grafiati

Data publikacji: 8 września 2023

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Artykuły w czasopismach na temat "Confounded symmetrical factorial design"

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 levels or different levels. The designs that are balanced symmetric factorials nested in blocks are called block designs with nested row-column balanced symmetric factorial experiments. These designs were constructed by using confounding through equation methods.Construction of confounded asymmetrical factorial experiments in row-column settings and efficiency factor of confounded effects was worked out. The design can be used in animal feed experiment with fewer resources by not compromising the test accuracy.

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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 same for all the choices. Again for the case where the highest order interaction effect is confounded in 3 replications, the loss of information is also same for all the choices and one effect which is confounded due to fractionation has the same loss of information for all the choices. The Chittagong Univ. J. Sci. 40 : 137-150, 2018

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Dülmer, Hermann. "The Factorial Survey." Sociological Methods & Research 45, no. 2 (2015): 304–47. http://dx.doi.org/10.1177/0049124115582269.

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The factorial survey is an experimental design consisting of varying situations (vignettes) that have to be judged by respondents. For more complex research questions, it quickly becomes impossible for an individual respondent to judge all vignettes. To overcome this problem, random designs are recommended most of the time, whereas quota designs are not discussed at all. First comparisons of random designs with fractional factorial and D-efficient designs are based on fictitious data, first comparisons with fractional factorial and confounded factorial designs are restricted to theoretical considerations. The aim of this contribution is to compare different designs regarding their reliability and their internal validity. The benchmark for the empirical comparison is established by the estimators from a parsimonious full factorial design, each answered by a sample of 132 students (real instead of fictitious data). Multilevel analyses confirm that, if they exist, balanced confounded factorial designs are ideal. A confounded D-efficient design, as proposed for the first time in this article, is also superior to simple random designs.

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Weimer, Jon. "Confounded Experimental Designs and Human Factors Research." Proceedings of the Human Factors Society Annual Meeting 31, no. 2 (1987): 222–23. http://dx.doi.org/10.1177/154193128703100219.

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The use of confounded factorial designs has been seriously neglected in the human factors literature. A confounded factorial is constructed by systematically confounding blocking variables with one or more interactions which are believed to be statistically insignificant or inconsequential to the researcher. These designs offer the advantages of increased economy and power. These designs are especially useful when research is being conducted on military personnel and subjects must be selected from different military facilities, which may result in heterogeneous subject populations. A concrete example illustrates how confounding of this type can be used to the researcher's advantage through the tailored construction of a confounded design.

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C. Eze, Francis. "Choice of Confounding in the 2k Factorial Design in 2b Blocks." Academic Journal of Applied Mathematical Sciences, no. 55 (May 15, 2019): 50–56. http://dx.doi.org/10.32861/ajams.55.50.56.

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In 2k complete factorial experiment, the experiment must be carried out in a completely randomized design. When the numbers of factors increase, the number of treatment combinations increase and it is not possible to accommodate all these treatment combinations in one homogeneous block. In this case, confounding in more than one incomplete block becomes necessary. In this paper, we considered the choice of confounding when k > 2. Our findings show that the choice of confounding depends on the number of factors, the number of blocks and their sizes. When two more interactions are to be confounded, their product module 2 should be considered and thereafter, a linear combination equation should be used in allocating the treatment effects in the principal block. Other contents in other blocks are generated by multiplication module 2 of the effects not in the principal block. Partial confounding is recommended for the interactions that cannot be confounded.

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Khan, Md Kamrul Hasan, and MA Jalil. "A General Method of Constructing Layout with Single Factorial Effect Confounded in pn Factorial Experiments." Dhaka University Journal of Science 62, no. 2 (2015): 109–13. http://dx.doi.org/10.3329/dujs.v62i2.21974.

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A general method of constructing layout with single factorial effect confounded in pn factorial experiments is proposed. It becomes easier to construct the design of confounding a single factor in a pn factorial experiment, especially when the number of factors as well as the number of levels becomes larger. DOI: http://dx.doi.org/10.3329/dujs.v62i2.21974 Dhaka Univ. J. Sci. 62(2): 109-113, 2014 (July)

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Atzmüller, Christiane, and Peter M. Steiner. "Experimental Vignette Studies in Survey Research." Methodology 6, no. 3 (2010): 128–38. http://dx.doi.org/10.1027/1614-2241/a000014.

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Vignette studies use short descriptions of situations or persons (vignettes) that are usually shown to respondents within surveys in order to elicit their judgments about these scenarios. By systematically varying the levels of theoretically important vignette characteristics a large population of different vignettes is typically available – too large to be presented to each respondent. Therefore, each respondent gets only a subset of vignettes. These subsets may either be randomly selected in following the tradition of the factorial survey or systematically selected according to an experimental design. We show that these strategies in selecting vignette sets have strong implications for the analysis and interpretation of vignette data. Random selection strategies result in a random confounding of effects and heavily rely on the assumption of no interaction effects. In contrast, experimental strategies systematically confound interaction effects with main or set effects, thereby preserving a meaningful interpretation of main and important interaction effects. Using a pilot study on attitudes toward immigrants we demonstrate the implementation and analysis of a confounded factorial design.

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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 of several variables, which exhibit in many cases an opposite behavior. However, these regression models are sometimes not accurate enough to predict the behavior of these response variables, especially when they have significant non-linearities. To deal with this drawback, soft computing techniques are very effective in overcoming the limitations of conventional regression models. This present study is focused on the employment of a symmetrical design of experiments along with a new desirability function, which is proposed in this study, and with soft computing techniques based on fuzzy logic. It will be shown that more accurate results than those obtained from regression techniques are obtained. Moreover, this new desirability function is analyzed in this study.

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Judge, Kevin A., Kim-Chi Tran, and Darryl T. Gwynne. "The relative effects of mating status and age on the mating behaviour of female field crickets." Canadian Journal of Zoology 88, no. 2 (2010): 219–23. http://dx.doi.org/10.1139/z09-139.

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Intrinsic factors such as female age and mating status have been found to affect female choosiness. However, as these factors are often confounded in the wild because mated females are usually older individuals, the relative influence of these two factors on female behaviour is unclear. Using a fully factorial design, we tested the relative effects of age and mating status of female field crickets ( Gryllus pennsylvanicus Burmeister, 1838) on both (i) the probability that she would mate and (ii) her latency to mate. We found that virgin females were both more likely to mate and copulated more quickly than mated females, but female age had no significant effect on either the probability of mating or the latency to copulate. These results clearly show that mating status is more important in determining female mating behaviour than age. We suggest that previous work which showed an age effect on female choosiness in virgins alone might be of reduced relevance if most females do not remain unmated for long.

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Kulaz, Haluk, Solmaz Najafi, Murat Tuncturk, Ruveyde Tuncturk, and Hilal Yilmaz. "Chromosome analysis of some Phaseolus vulgaris L. genotypes in Turkey." Bangladesh Journal of Botany 51, no. 2 (2022): 281–88. http://dx.doi.org/10.3329/bjb.v51i2.60425.

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Karyotypes parameters in four selected Turkish bean genotypes (BT, HK, VN, and EL) were studied. Genotypes (4 levels) and chromosomes (11 levels) were compared in factorial experiment based on completely randomized design with five replications. Genotypes showed significant differences in long arm, short arm and total chromosome length and divided into three separate groups. Genotypes BL and HK were placed together in a separate group, probably showing the weaker kinship with the other genotypes. Also, the significant differences in all recorded parameters were observed among chromosomes of each genotype. All genotypes were diploid 2n = 22 with no satellite and differed significantly in karyotypic parameters. The most and the least chromatin length (34.24 μm and 15.65 μm) were observed in BT and EL genotypes, respectively. Also, all genotypes showed high chromosomal symmetry and categorized in Stebbins's Class 1A. The karyotype of genotype BT was found to be more symmetrical than others. Bangladesh J. Bot. 51(2): 281-288, 2022 (June)

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