uudelleennäytteistys

Uudelleennäytteistys, often translated as resampling or bootstrapping, is a statistical method used to estimate population parameters or to assess the reliability of statistical estimates. It involves repeatedly drawing random samples from an original dataset. Each sample is the same size as the original dataset and is drawn with replacement, meaning that individual data points can be selected multiple times within a single sample.

The core idea behind uudelleennäytteistys is to simulate the process of drawing many samples from a population, even when only one sample is available. By creating numerous resamples, researchers can approximate the sampling distribution of a statistic, such as the mean or median. This allows for the calculation of confidence intervals and the estimation of standard errors without relying on theoretical distributional assumptions that might not hold true for the data.

Uudelleennäytteistys is a computationally intensive technique, but its widespread availability through statistical software has made it a popular tool in various fields, including econometrics, biostatistics, and machine learning. It is particularly useful when the underlying distribution of the data is unknown or complex, or when dealing with small sample sizes where traditional methods may be unreliable. The method's flexibility and robustness have contributed to its significant role in modern statistical inference.