Results 191 to 200 of about 73,625 (339)

Forecasting GDP Movements in Nepal Using Autoregressive Integrated Moving Average (ARIMA) Modelling Process

, 2019
Surya Bahadur Rana
openalex   +2 more sources

Generalized Space Time Autoregressive Integrated Moving Average (GSTARIMA) dalam Peramalan Data Curah Hujan di Kota Makassar

, 2023
Nurul Ilmi, Aswi Aswi, Muhammad Kasim Aidid   +2 more
openalex   +1 more source

Why do attention‐deficit/hyperactive disorder and/or autism traits place adolescents at risk for depression? Protocol for a longitudinal comparison of the mediating role of emotion regulation deficits versus emotional burden

JCPP Advances, EarlyView.
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, Melanie Palmer, Kirsty Griffiths, Anna Wyatt, Andrea Danese, Susie Chandler, Daniel Stahl, Steve Lukito, Georgia Pavlopoulou, Emily Simonoff, on behalf ofthe RE‐STAR team   +10 more
wiley   +1 more source

COVID-19 prevalence forecasting using Autoregressive Integrated Moving Average (ARIMA) and Artificial Neural Networks (ANN): Case of Turkey. [PDF]

J Infect Public Health, 2021
Toğa G, Atalay B, Toksari MD.
europepmc   +1 more source

Modeling and Forecasting Stochastic Seasonality: Are Seasonal Autoregressive Integrated Moving Average Models Always the Best Choice? [PDF]

Evangelos E. Ioannidis, Sofia‐Eirini Nikolakakou   +1 more
openalex   +1 more source

Environmental Noise Pollution Forecasting using Fuzzy-autoregressive Integrated Moving Average Modelling [PDF]

, 2022
Muhammad Shukri Che Lah, Nureize Arbaiy, Syahir Ajwad Sapuan, Pei‐Chun Lin   +3 more
openalex   +1 more source

A counterfactual and random intercept cross‐lagged panel analysis of the effects of reading frequency on adolescent mental health in a large longitudinal study

JCPP Advances, EarlyView.
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, Patrick Errington, Yi Yang, Helen Wright, Daniel Mirman, Ingrid Obsuth, Tom Booth, Denis Ribeaud, Manuel Eisner   +8 more
wiley   +1 more source

Simulation and forecasting of the influenza epidemic process using seasonal autoregressive integrated moving average model

, 2021
Dmytro Chumachenko, Ievgen Meniailov, Andrii Hrimov, Vladislav Lopatka, Olha Moroz, Оlena Tolstoluzka   +5 more
openalex   +2 more sources

Developmental dynamics of symptoms of emotional problems in childhood and adolescence: A longitudinal network analysis

JCPP Advances, EarlyView.
This study examined how emotional symptoms co‐develop from childhood to adolescence using longitudinal data from over 11,000 children and adolescents. Network analyses revealed reciprocal links between core symptoms of anxiety and depression, with no significant differences between males and females.
Eira R. Aksnes, Marianne Skogbrott Birkeland, Omid V. Ebrahimi, Mona Bekkhus, Lia Ferschmann, Dani Beck, Trude Fixdal, Alexandra Havdahl, Lydia Gabriela Speyer, Lars T. Westlye, Marieke G. N. Bos, Christian K. Tamnes   +11 more
wiley   +1 more source

Real time prediction of four main food commodities in Indonesia and the mapping based on autoregressive integrated moving average model [PDF]

, 2021
R F Dianco, M Novita
openalex   +1 more source