Predicting the frequency of positive laboratory submissions for porcine reproductive and respiratory syndrome in Ontario, Canada, using autoregressive integrated moving average, exponential smoothing, random forest, and recurrent neural network. [PDF]
Petukhova T +7 more
europepmc +1 more source
Analyzing the impact of a state concussion law using an autoregressive integrated moving average intervention analysis. [PDF]
Huang L, Sullivan L, Yang J.
europepmc +1 more source
Identifikasi bias metode jackknife pada model autoregressive integrated moving average [PDF]
Iffana Intanlya Fauzie
openalex
ABSTRACT Chronic and increased levels of stress during adolescence are associated with academic performance, school dropout, and mental health challenges. This study investigated the effectiveness of the universal mindfulness‐based intervention (MBI) on adolescents' stress symptoms in schools through a cluster randomised controlled trial (cRCT) design.
Salla‐Maarit Volanen +4 more
wiley +1 more source
Malaria amidst the COVID-19 pandemic in Gabon: an application of autoregressive integrated moving average (ARIMA) models within an interrupted time series (ITS) framework to hospital-based data. [PDF]
Roeder F +7 more
europepmc +1 more source
Data assimilation with extremum Monte Carlo methods
This study presents the extremum Monte Carlo filter as a data assimilation method and, in particular, a variant of the variational approach (three‐ and four‐dimensional variational), where the state estimates are obtained by solving an optimization problem numerically over a space of prediction functions, instead of the state space itself.
Karim Moussa, Siem Jan Koopman
wiley +1 more source
Forecasting Daily Radiotherapy Patient Volumes in a Tertiary Hospital Using Autoregressive Integrated Moving Average (ARIMA) Models. [PDF]
Peerawong T +2 more
europepmc +1 more source
ABSTRACT In modern manufacturing environments, traditional statistical process control (SPC) methods often struggle with complex, dynamic data patterns, particularly when observations are autocorrelated. Control charts are useful tools used in SPC to detect any significant drift in a process.
Jeanette Maria Louw +3 more
wiley +1 more source

