Abstract: There are many error estimation methods commonly used in astronomy. We must pay attention to their applicable conditions before using them. Most of these methods are based on the principle of statistics, which include traditional parameter and confidence interval estimation, and brute-force grids, varying chi-square, the Fisher matrix, and Monte-Carlo methods in the case of model-based parameter estimates. They have become the most powerful tools in data analysis for astronomers.

Key words: statistical method, error estimation, error analysis