UMA METODOLOGIA DE CHI-QUADRADO APLICADA AO CONTROLE DE DESVIOS NO PLANEJAMENTO DE PROJETOS

Denise Ávila Montini, Danilo Battaglia, Gustavo Matuck, Paulo Marcelo Tasinaffo, Luiz Alberto Vieira Dias, Alessandra De Ávila Montini, Adilson Marques Da Cunha

Abstract


This paper describes a hybrid-Chi-squared methodology for Project Plan deviations identification, including those for multiple deviations in a Project Plan system. The sampling methodology was used to analyze similarity, together with a statistical optimization methodology for Chi-squared, to select the methodology used to forecast data in the Project Plan phase. The created sampling methodology was utilized for Project Plan activities learning, in order to detect deviations. The hybrid- Chi-squared methodology was employed by empirical results. The results have shown that the selection strategy identify the best forecasting approach between two different proposals, aiming to provide the Project Plan forecasting process, presenting the best precisions based on the diagnose deviations detection, within this hybrid-Chi-squared methodology. Keywords – Chi-squared statistical methodology, Project Estimation forecasting, samplingmethodology,and Estimates driven models.

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This work is licensed under a Creative Commons Attribution 3.0 License.

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ISSN 2319-0507

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