Abstract The objective is to provide a nonparametric bootstrap method for functional data that consists of independent realizations continuous one-dimensional process. process assumed be nonstationary, with mean and variance, dependent. resampling based on estimates the model components. Numerical studies were conducted check performance proposed procedure, by approximating bias standard error ...