Imputasjonsmetoden
Imputasjonsmetoden, also known as the imputation method, is a statistical technique used to handle missing data within a dataset. Its primary purpose is to replace absent or incomplete data points with estimated values, enabling comprehensive analysis without discarding incomplete records. The method is widely employed in fields such as research, economics, and data science, where maintaining dataset integrity is crucial.
The fundamental principle of imputasjonsmetoden involves estimating missing values based on available information. Common approaches include
Advantages of the imputasjonsmetoden include preserving sample size, reducing bias, and maintaining statistical power. However, it
Imputasjonsmetoden is distinguished from deletion methods, which simply exclude incomplete records, often leading to reduced data