# Misc ## Log Transform * If time series is multiplicative, use log tranform to convert the series into additive. This is because some algo like ARIMA work better with additive timeseries * In case there is 0 in time series, add 1 to prevent log(0) and then subtract 1 later ## Power Transform ## Box Cox Transform * Combines both log and power transform * Use lambda that minimise variance or constant variance * Guerrero method * MLE method --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://gautamnaik1994.gitbook.io/snippets/machine-learning/time-series-forecasting/misc.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.