Time series forecasts are used to predict a future value or a classification at a particular point in time. Here’s a brief overview of their common uses and how they are developed. Industries from ...

This is a preview. Log in through your library . Abstract In this paper, we investigate some information properties of parameter estimation in spectral analysis of stationary time series based on a ...

This is a preview. Log in through your library . Abstract A rigorous statement of the idea of linear regression is used to provide a theoretical justification for approximating a stationary time ...

This study used SEER data from 1975 to 2018 and included 545,486 patients with lung cancer. The best parameters for ARIMA are ARIMA (p, d, q) = (0, 2, 2). In addition, the best parameter for SES was α ...