The White Noise Model – Time Series Analysis, Regression, and Forecasting

The white noise model can be used to represent the nature of noise in a data set. For time series data, auto-correlation plots and the Ljung-Box test are two ways to test for white noise.

Chapter 1 Introduction to Time Series

Time Series Forecasting: Data, Analysis, and Practice

White Noise Analysis: A Measure of Time Series Model Adequacy

White Noise Analysis: A Measure of Time Series Model Adequacy

Time Series Forecasting Concepts and Methods with Implementation Examples, by Manu

Frontiers AI in Healthcare: Time-Series Forecasting Using Statistical, Neural, and Ensemble Architectures

Example time series and regressions comparing the reference monitor

Interrupted time series analysis using autoregressive integrated moving average (ARIMA) models: a guide for evaluating large-scale health interventions, BMC Medical Research Methodology

How To Isolate Trend, Seasonality And Noise From A Time Series – Time Series Analysis, Regression, and Forecasting

Time Series Analysis: Forecasting Trends with Time Series Model Simulation - FasterCapital

Time Series Analysis and Forecasting, Methodology

White Noise Time Series with Python