Baiyunshan Company Profit Forecast Analysis Based on Small Sample Time Series Data

Data analysis and prediction is an important part of enterprise management, which can provide effective data support for enterprise managers when making decisions, and many analysis and prediction methods need a large amount of data support to ensure the accuracy of prediction. From 2020 to the end of 2022, the Coronavirus epidemic has brought huge economic losses to China, and many enterprises have not only suffered huge losses in the epidemic environment, but also limited collection of business data, which has also caused great obstacles to data analysis. In this context, the classic small-sample processing method Bootstrap method is used to establish a time series forecasting model, and the Akaike information is used to test the goodness-of-fit of the model to analyze and predict the small-sample data.