Results 61 to 70 of about 13,673 (195)

Forecasting of commercial egg production in turkey with box-jenkins and winter’s exponential smoothing methods [PDF]

Eurasian Journal of Veterinary Sciences
Aim: The developments in the poultry industry, due to its closeness to an important part of Turkey's potential export markets has increased the interest in this sector.
Özlem Kaymaz
doaj  

Prediksi Single-Step dan Multi-Step Data Cuaca Menggunakan Model Long Short-Term Memory dan Sarima

Jurnal Teknologi Informasi dan Ilmu Komputer
Prediksi deret waktu pada parameter data cuaca adalah proses memprediksi nilai masa depan berdasarkan pola data historis cuaca. Penelitian ini mengatasi kelemahan penelitian sebelumnya seperti data yang terbatas, jangka waktu prediksi, keterbatasan ...
Humasak Tommy Argo Simanjuntak, Amelia Lumbanraja, Gabriel Samosir, Regita   +3 more
doaj   +1 more source

Reservoir Evaporation Trend Analysis and Its Prediction using Time Series [PDF]

علوم و مهندسی آبیاری, 2013
Evaporation is one of the important factors in water loss from dam reservoirs. Therefore, the accurate prediction highly helps the reservoir planning and optimum water usage. In this study, using the recorded pan data the evaporation trend is determinded
Ramin Bahmani, Fereydon Radmanesh, SeyedSaeid Islamian, Gholamali Parham   +3 more
doaj  

Estimating the Long-Term Epidemiological Trends and Seasonality of Hemorrhagic Fever with Renal Syndrome in China

Infection and Drug Resistance, 2021
Yuhan Xiao,1,* Yanyan Li,1,* Yuhong Li,2 Chongchong Yu,1 Yichun Bai,1 Lei Wang,3 Yongbin Wang1 1Department of Epidemiology and Health Statistics, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province, People’s Republic of
Xiao Y, Li Y, Li Y, Yu C, Bai Y, Wang L, Wang Y   +6 more
doaj  

Forecasting Tuberculosis Incidence in Somalia: A Comparative Analysis of Single and Hybrid Time‐Series Models

Health Science Reports, Volume 9, Issue 3, March 2026.
ABSTRACT Background Tuberculosis (TB) remains a significant public health challenge, necessitating accurate forecasting methodologies to support effective control and prevention strategies. This paper explores the application and comparative performance of single and hybrid time‐series models for forecasting TB incidence trends specifically in Somalia.
Hana Mahdi Dahir, Ayan Husein Korse, Farduus Ibrahim Mohamed, Saralees Nadarajah, Mohamed Said Hassan   +4 more
wiley   +1 more source

Modélisation SARIMA assistée [PDF]

, 2003
info:eu-repo/semantics ...
Hassane Njimi, Guy Melard, Jean-Michel Pasteels   +2 more
openaire   +1 more source

SARIMA modelling approach for railway passenger flow forecasting

Transport, 2016
In this paper, railway passenger flows are analyzed and a suitable modeling method proposed. Based on historical data composed from monthly passenger counts realized on Serbian railway network it is concluded that the time series has a strong autocorrelation of seasonal characteristics.
Milenković, Miloš, Švadlenka, Libor, Melichar, Vlastimil, Bojović, Nebojša, Avramović, Zoran   +4 more
openaire   +4 more sources

Data‐Driven Machine Learning–Based Forecasting of Dengue in Bangladesh: Supporting Digital Health Approaches for Early Warning

Health Science Reports, Volume 9, Issue 3, March 2026.
ABSTRACT Background & Aims Dengue is a significant vector‐borne disease that has severely impacted public health in Bangladesh, underscoring the growing importance of digital health in enhancing surveillance and prevention. Understanding its trends and future estimates is crucial for improving early prevention strategies.
Arman Hossain Chowdhury
wiley   +1 more source

A SARIMA and Adjusted SARIMA Models in a Seasonal Nonstationary Time Series; Evidence of Enugu Monthly Rainfall

European Journal of Mathematics and Statistics, 2021
 The paper compares SARIMA and adjusted SARIMA(ASARIMA) in a regular stationary series where the underlying variable is seasonally nonstationary.  Adopting empirical rainfall data and Box-Jenkins iterative algorithm that calculates least squares estimates, Out of 11 sub-classes of SARIMA and 7 sub-classes of ASARIMA models, AIC chose ASARIMA(2,1,1)12 ...
openaire   +2 more sources

Comparative Forecasting Demand For Robusta Ground Coffee Product in SME SL Malang Regency Using Holt-Winters Exponential Smoothing and Seasonal ARIMA Method

Habitat
Small Medium Enterprise SL (SME SL) has a fluctuating volume of demand for ground coffee and to forecast demand for the following month, they only use the owner's intuition, so they cannot ensure the availability of product stocks precisely.
Annisa Zahara Lutfi, Heptari Elita Dewi, Djoko Koestiono, Ajeng Rizqya Shabrina, Aleisha Julia Deme Anak Julin   +4 more
doaj   +1 more source