Following the success of LLMs, the AI industry is now evolving with multimodal systems. In 2023, the multimodal AI market ...

Abstract This paper joins the main properties of joint regression analysis (JRA), a model based on the Finlay-Wilkinson regression to analyse multi-environment trials, and of the additive main effects ...

Multiplicative Decomposition In many time series, the amplitude of both the seasonal and irregular variations increase as the level of the trend rises. In this situation, a multiplicative model is ...

This paper first provides statistical properties of wavelet operators when the observation model can be seen as the product of a deterministic piecewise regular function (signal) and a stationary ...

Time series forecasting is the use of a model to predict future values based on previously observed values. It is one of the prime tools of any buisness analyst used to predict demand and inventory, ...

Indeed, the observation of a seemingly upward linear trend in some of the time series data during the multiplicative time series decomposition is crucial for our analysis.

This paper describes the basic principle of seasonal multiplicative model in time series and the GARCH model, applies the former to forecast the monthly peak lo ...