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ANOVA - PubAg

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Last Updated: 16 October 2021

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On the applicability of ANOVA models for CATA data

Check-All-That-Apply inquiries return binary data from every subject on each product and attribute. To contrast several examples, Cochran's Q examination is extensively used to evaluate such two-way data, with pairwise contrasts being carried out making use of McNemar's examination, the special case of Cochran's Q for two examples. All these concerns would be fixed at once if an evaluation of variance would be legitimate in the feeling of valuing the nominal type I error rate. Yet, contrasting analyses utilizing ANOVA and Cochran's Q, we kept in mind F-tests for balanced designs to provide p worths very near to those from Cochran's Q test, and they have been revealed earlier to be at least about valid for Rate-All-That-Apply data. We explore whether ANOVA undoubtedly provides a durable analysis for CATA information. When the use of ANOVA for CATA information is sensible, we wrap up with assistance on.

Source link: https://pubag.nal.usda.gov/catalog/7305256


Autoregressive parametric modeling combined ANOVA approach for label-free-based cancerous and normal cells discrimination

Since they do not create any cell damages neither contribute any type of change in its compositions, label free based methods got significant interest in the area of bio cell characterizations. This work takes a close outlook of cancerous cells discrimination from typical cells making use of parametric modeling method. Autoregressive modeling strategy is used to fit the determined optical passage accounts of both cancer and regular cells. The AR coefficients of each kind of the cell were evaluated with the statistical method called Analysis of difference, which gave the significant coefficients.

Source link: https://pubag.nal.usda.gov/catalog/7370219


Three way ANOVA for emulsion of carotenoids extracted in flaxseed oil from carrot bio-waste

The juice expelled from carrot, a globally created root vegetable, leavesbehind carrot pomace which is potentially abundant source of micro-nutrients and carotenoids. However, it is disposed of as waste or utilized as animal feed. Hereof, existing work was focused on preparing secure solution based delivery system for 'eco-friendly' carotenoids drawn out from carrot-pomace in flaxseed oil, and at maximizing the quantity of core material to ensure that the resultant emulsion can potentially be used as a resource of both carotenoids and omega-3 fat of flaxseed oil origin. Preparation of oil-in-water emulsion was enhanced using 3 ³ factorial experiment by varying degrees of remove consisting of carotenoid, whey protein concentrates and lactose. CREm consisted of 35% flaxseed oil, 10% WPC-80 and 5% lactose and revealed excellent centrifugal and gravitational stability.

Source link: https://pubag.nal.usda.gov/catalog/7211327


Multiresolution Functional ANOVA for Large-Scale, Many-Input Computer Experiments

The Gaussian procedure is a standard device for constructing emulators for both deterministic and stochastic computer experiments. Application of Gaussian process models is substantially limited in method, especially for many-input and large computer experiments that have become common. We suggest a multiresolution practical ANOVA design as a computationally feasible emulation alternative. New outcomes on uniformity and inference for the group lasso in a high-dimensional setting are established and used to the proposed MRFA design. Data capacities, in terms of both example dimension and measurement, meet or go beyond finest readily available emulation tools while meeting or exceeding emulation accuracy.

Source link: https://pubag.nal.usda.gov/catalog/6980667


Development of an integrated PCA-SCA-ANOVA framework for assessing multi-factor effects on water flow: A case study of the Aral Sea

PSAF can not only evaluate the level of sensitivity of water circulation to interactive and individual elements, but imitate water circulation effectively under various situations. Results expose that the key effect variables that cause the variability of water circulation from the Amu Darya into the Aral Sea are drainage in the upper reach, farming water use and water storage space in tanks. Results additionally reveal that runoff in the upper reach and farming water usage have evident interaction; the high level of drainage in the top reach can improve the negative results of farming water use on water flow. In the future, to recover the water flow from the Amu Darya into the Aral Sea to the level of that in the 1990s, the decreasing rates of yearly farming water usage and water storage space in reservoirs should be managed at 1. 0% and 0. 5%, specifically.

Source link: https://pubag.nal.usda.gov/catalog/7149797


Robust Subsampling ANOVA Methods for Sensitivity Analysis of Water Resource and Environmental Models

Sensitivity analysis is a crucial component for modelling water source and environmental procedures. Results indicate that: the subsampling procedures successfully reduce the prejudices arising from traditional ANOVA technique; amongst the suggested subsampling methods, the full-subsampling ANOVA has the most robust performance; compared with Sobol's approach, the subsampling ANOVA approaches can dramatically decrease the calculation demands while accomplish comparable level of sensitivity characterization for version parameters. This research study acts as a first basis for the application of subsampling ANOVA approaches to sensitivity evaluation for water resource and environmental models.

Source link: https://pubag.nal.usda.gov/catalog/7050095


Lasso ANOVA decompositions for matrix and tensor data

Take into consideration the problem of approximating the entrances of an unidentified mean matrix or tensor offered a single loud realization. In the matrix case, this problem can be resolved by decaying the mean matrix into a component that is additive in the rows and columns, i. e. the additive ANOVA decomposition of the mean matrix, plus a matrix of elementwise effects, and thinking that the elementwise impacts might be sporadic. Estimate of the mean matrix using these moment-based empirical Bayes estimators can be called LANOVA penalization, and the matching estimate of the mean matrix can be called the LANOVA estimate. The habits of the LANOVA estimate is taken a look at under misspecification of the circulation of the elementwise impacts, and LANOVA penalization is applied to several datasets, consisting of a matrix of microarray data, a three-way tensor of fMRI information and a three-way tensor of wheat infection information.

Source link: https://pubag.nal.usda.gov/catalog/6345988


Aroma compounds evolution in fruit spirits under different storage conditions analyzed with multiway anova and artificial neural networks

For manufacturers, suppliers, and restaurateurs, it is vital to recognize the variation of the unpredictable structure of bottled spirits under different storage space conditions. Offered the scarce information discovered hereof, the present research checks out the result of pH, temperature level, light exposure, and time of storage on 18 major unpredictable compounds of a fruit spirit. The results reveal that heats sharply lower most spirit substances, specifically acetaldehyde, ethyl esters, and linalool. USEFUL APPLICATIONS: The production of alcoholic beverages generally includes a maturation time after purification and before bottling in order to stabilize the organoleptic features of the item. The storage space problems after bottling can influence these organoleptic qualities, and as a result, to the rack life of the product. Furthermore, the method made use of for the information analysis, based on multi‐way ANOVA and artificial semantic networks analysis, can be useful in the studies of other sorts of food products.

Source link: https://pubag.nal.usda.gov/catalog/6892732


Real-time water quality monitoring through Internet of Things and ANOVA-based analysis: a case study on river Krishna

In this paper, an effort has been made to establish a statistical model based on Internet of Things for water quality evaluation of river Krishna using different water quality criteria such as pH, conductivity, liquified oxygen, temperature, biochemical oxygen demand, complete liquified solids and conductivity. The water high quality data were collected from 6 terminals of river Krishna in the state of Karnataka. River Krishna is the fourth biggest river in India with roughly 1400 km of length and flows from its beginning towards Bay of Bengal. In our research, we have considered just stretch of river Krishna moving in state of Karnataka, i. e. , size of about 483 km. It requires personnel to accumulate the water samples from the site and take them to the research laboratory and after that perform the evaluation on numerous water parameters which is expensive and time-consuming procedure. The timely details about water top quality is thus inaccessible to individuals in the river basin area. This develops a perfect opportunity for swift real-time water high quality check through evaluation of water examples gathered from the river Krishna. IoT is one of the means with which real-time tracking of water high quality of river Krishna can be carried out in double-quick time. One-way evaluation of variation and two-way ANOVA were requested the information collected, and discovered that one-way ANOVA was a lot more efficient in executing water high quality analysis. The theories that are attracted using ANOVA were used for water top quality analysis.

Source link: https://pubag.nal.usda.gov/catalog/6781349


Performance optimization of absorption refrigeration systems using Taguchi, ANOVA and Grey Relational Analysis methods

There are numerous elements having an influence on the exergetic and energetic performance of an absorption refrigeration systems such as the temperature levels of the generator, evaporator, absorber and condenser, effectiveness of remedy, cooling agent and solution-refrigerant warm exchangers and isentropic effectiveness of the option pump. First of all, in this study, cycles' thermodynamic design is established and the variant of the COP and eCOP are determined for various working problems with various parameters arrays. The results of these specifications on the COP and eCOP are taken a look at individually on a statistical basis. The absorber and evaporator temperatures are one of the most effective specifications on several performance features with a contribution ratio of 29. 66% and 26. 34% of the overall impact while the least reliable criteria are the pump effectiveness and effectiveness of solution-refrigerant heat exchanger with a contribution ratio of 0. 48% and 2. 41%, specifically.

Source link: https://pubag.nal.usda.gov/catalog/6442855

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

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* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions