Results 201 to 210 of about 72,436 (339)
Impact of COVID-19 on the detection of tuberculosis in Guangdong, China based on the autoregressive integrated moving average model: a time-series study. [PDF]
Wang R +6 more
europepmc +1 more source
Forecasting Natural Gas Prices in Real Time
ABSTRACT This paper provides a comprehensive analysis of the forecastability of the real price of natural gas in the United States at the monthly frequency considering a universe of models that differ in complexity and economic content. We find that considerable reductions in mean‐squared prediction error relative to a no‐change benchmark can be ...
Christiane Baumeister +3 more
wiley +1 more source
Using Autoregressive Integrated Moving Average (ARIMA) Modelling to Forecast Symptom Complexity in an Ambulatory Oncology Clinic: Harnessing Predictive Analytics and Patient-Reported Outcomes. [PDF]
Watson L +7 more
europepmc +1 more source
Forecasting Tourist Visits Using Seasonal Autoregressive Integrated Moving Average Method [PDF]
R Fahrudin
openalex +1 more source
This paper details the protocol for the My Emotions and Me Over Time (MEMO) study, a longitudinal study exploring why ADHD and/or autism traits place adolescents at greater risk for depression. This study will explore two potential mediating factors in pathways to depression: emotional regulation deficits; and emotional burden.
Edmund J. S. Sonuga‐Barke +10 more
wiley +1 more source
A Seasonal Autoregressive Integrated Moving Average (SARIMA) forecasting model to predict the epidemic trends of scrub typhus in China. [PDF]
Peng PY +6 more
europepmc +1 more source
Abstract Background Reading has been proposed as a protective factor in mental health; however, evaluating this is challenging due to a lack of trials and the possibility of confounding in observational studies. Methods We used the complementary approaches of covariate balancing propensity score weighting and random intercepts cross‐lagged panel models
Aja Murray +8 more
wiley +1 more source

