Nonparametric estimation is a statistical method used to estimate the underlying distribution of a dataset without assuming a specific parametric form. It is particularly useful when the shape of the distribution is unknown or when the data does not fit well with standard parametric models, offering greater flexibility and adaptability to the data's inherent structure.