The health impacts of environmental exposure may not appear at the time when it is measured, but may be delayed and/or last for a long period. This phenomenon is called lagged effect, which is usually ...

Hannan in "Regression for Time Series" [4] proposed an interesting method of estimating regression coefficients using spectral techniques, and later in "The Estimation of Relationship Involving ...

The distributed lag model (DLM), used most prominently in air pollution studies, finds application wherever the effect of a covariate is delayed and distributed through time. We specify modified ...

In a recent study posted to the medRxiv* preprint server, an interdisciplinary team of researchers from the United States (US) assessed predictions of the laboratory-confirmed coronavirus disease 2019 ...

Although recent articles have stressed the importance of testing for unit roots and cointegration in time-series analysis, practitioners have been left without a straightforward procedure to implement ...

The relationship between economic growth and sustainable energy in India and China is examined using the non-linear autoregressive distributed lag model. The empirical results show that economic ...