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- W3029005769 abstract "The objective of this study was to identify the most important predictor variablesregarding the dimensions of an agricultural tire, as well as the development of a tool,using various methods, that would allow the user to predict the nal dimensional results,as well as understand the impact that each variable’s value change would have on thatsame result.In order to do that linear regression and logistic regression were used.To make the predictions about the nal dimensional results, two different modelsbased on linear regression were developed; one for each of the response variables (X36and X37) regarding the tire’s dimensions. This also allowed the understanding of whichvariables were the most impactful ones on the nal result for each of the dimensions.The results were then validated using values that weren’t present in the initial data,with the objective of understanding if the obtained models were correctly adjusted, andif the they were providing good simulations. After analyzing the results it was safe toconclude that the error of the simulations was within an acceptable range.On the other hand, the logistic regression was applied to understand, given the valuesof the variables, what was the chance of a tire passing or failing the dimensional test.Finally, in order to facilitate the calculation of the previously mentioned simulationsfor new tires, there was a need to develop a tool that would allow the user to obtain resultsin a friendly environment. This tool was developed in the R Shiny environment.All the modeling was made using the software R, version 3.5.2. (2018-12-20)." @default.
- W3029005769 created "2020-06-05" @default.
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- W3029005769 date "2019-01-01" @default.
- W3029005769 modified "2023-09-23" @default.
- W3029005769 title "Statistical analysis of variables of tires' specifications and respective tests" @default.
- W3029005769 hasPublicationYear "2019" @default.
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