Estimación de intervalos de confianza BOOTSTRAP de proporciones de factores asociados a inhumaciones por causa de COVID-19 en el Cementerio General de Riobamba periodo marzo 2020 – abril 2021.

Abstract

The aim of this research was to identify the confidence interval BOOTSTRAP for burials in order to determine vulnerable groups. The BOOTSTRAP technique provides estimations in statistical errors, imposing scarce narrowing on the analysed variables and stablishing as a general procedure, independently of the statistical consideration. In this research the fundamental theoretical statistics of the BOOTSTRAP method are presented, its application for its proportions and confidence intervals for proportions. TheBOOTSTRAP method involves carrying out repetitive sampling, so the same data or numerical value can be re-selected o chosen during the re-sampling phase, in order to generate new samples of the same size as the original one, B sampling was done from which the statistician or estimator was calculated. Additionally,by grouping and ordering them an approximate normal distribution was obtained, so to eventually find the confidence interval by proportions for burials. The re-sampling processes need the generation of big-sized samples. Therefore, it is highly recommended the use of a suitable program for the calculations and applications of such process. For the purpose of this research the statistical program R was used to simulate such repetitive big-sized calculations, obtaining data from confidence intervals according to the research objectives. Finally, according to the analysis of the characteristics done by means of the application of vulnerable grouping methods for burials due to COVID-19, for sex, age, age according to sex, the vulnerability of the elderly group was determined. Being this, the most affected during the pandemic caused by COVID.19.