PDF | Time-series analysis is a statistical method of analyzing data from repeated observations on a single unit or individual at regular intervals over.

In this comparative study, four different time-series analysis models, namely the ARIMA model, the Prophet model, the Long Short-Term Memory (LSTM) model, and ...

During the 19th century interest in, and analysis of, social and economic time series evolved into a new field of study independent of developments in astronomy ...

This paper presents several analytic methods that one may use to estimate the parameters of these terms. Key Words: Auto-regressive moving average (ARMA) models ...

The Journal of Time Series Analysis is the leading mathematical statistics journal focused on the important field of time series analysis.

The aim of this book is to present a concise description of some popular time series forecasting models with their salient features.

In this report we have surveyed the various time series models and forecasting methods that could be used as an effective tool to capture the evolving data that ...

The empirical method and the model-based method of attack are each employed by knowledgeable statisticians and are sometimes thought of as rivals.

Time series data in economics and other fields of social science often exhibit cyclical behavior. For example, aggregate retail sales are high in November and.

Time Series Analysis is a statistical technique used to analyze and model time-based data. It is used in various fields such as finance, economics, and ...