Statistical model for analizing negative variables with application to compression test on concrete

In some areas of knowledge, we can find negative variables (ℝ-), to have a statistical model is crucial represent the phenomenon and explain it using other variables. This paper proposes regression analyze random reflected Weibull distribution. We developed RelDists package in R programming language implement proposed model. A Monte Carlo simulation study was conducted explore performance estimation procedure considering censored uncensored data presence absence covariates. From study, found that achieves accurate estimations parameters as sample size increases percentage censoring decreases. paper, present an application experimental from compression test with concrete specimens. application, fitted shrinkage strain variable time. The for be used by academic, scientific, business communities perform reliability analysis.