Results 31 to 40 of about 51,738 (285)

Comparison of ARIMA and ARIMA/GARCH Models in EVN Traffic Prediction [PDF]

Journal of Research and Development on Information and Communication Technology, 2014
This  paper  focuses  on  building  statistical models  to  capture  and  forecast  the  traffic  of  mobile communication  network  in  Vietnam.  Following  BoxJenkins  method,  a  multiplicative  seasonal  ARIMA model is constructed  to  represent  the  mean  component using the past values of traffic, a GARCH model is then incorporated  to ...
Tran Quang Thanh, Trinh Quang Khai
openaire   +1 more source

Monthly precipitation prediction in Luoyang city based on EEMD-LSTM-ARIMA model

Water Science and Technology, 2023
At present, the method of using coupled models to model different frequency subseries of precipitation series separately for prediction is still lacking in the research of precipitation prediction, thus in this paper, a coupled model based on Ensemble ...
Jiwei Zhao, Guangzheng Nie, Yihao Wen
doaj   +1 more source

استخدام الشبکات العصبية والنماذج المختلطة متعددة المستويات في تقدير الطلب على التأمين بالتطبيق على الدول العربية [PDF]

Maǧallaẗ Al-Buḥūṯ Al-Mālīyyaẗ wa Al-Tiğāriyyaẗ, 2020
يعد نمو قطاع التأمين عاملاً هاماً في التنمية الاقتصادية والاجتماعية في أي دولة، وتهدف هذه الدراسة إلى التنبؤ بالطلب على التأمين في الدول العربية بناء على تحديد أهم العوامل المؤثرة فيه.
السيد الأشقر, محمد زايد, هبة الله أمين   +2 more
doaj   +1 more source

A Non‐Canonical Role of SMAD4 in Regulating 3D Genome Architecture to Inhibit Lung Squamous Cell Carcinoma Development

Advanced Science, EarlyView.
SMAD4 is identified as a guardian of 3D genome architecture in lung squamous cell carcinoma. Loss of SMAD4 unleashes EP300 at chromatin loop anchors, strengthening enhancer–promoter looping and H3K27ac at the SOX2 locus to drive aberrant SOX2 activation and tumor cell proliferation.
Qian Tang, Chen Lian, Xinyan Han, Xuhan Zhang, Zihan Wang, Boyu Wang, Taoyu Zhu, Xinrui Lin, Xiaolei Wang, Yaping Xu, Manyu Xiao, Zijin Wang, Junming Li, Silin Chen, Yunze Wang, Yufei Liu, Songsong Li, Zuolin Shen, Xi Lu, Xueqi Han, Yilu Zhou, Mingyang Xiao, Jiayi Ran, Xiaoran Cao, Xinyi Xu, Hugo Sámano‐Sánchez, Alfredo Rodríguez, Lian Wang, Shuifang Chen, Zhanyu Xu, Shirong Zhang, Nuo Yang, Yong Tang, Jian Liu   +33 more
wiley   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

Forecasting Industrial Employment in Iran using Artifical Neural Network Method and ARIMA Model [PDF]

مدلسازی اقتصادسنجی, 2014
  Industry is one of the important and fundamental parts of economic and a ground for economic growth and development. Development and growth in industry section provide the ground for growth and development of other section such as agricultural ...
Ahmad Jafari Samimi, Zahra dehghan
doaj   +1 more source

Labeling Quality or Quantity? The Differential Impact of Geographical Indications on Export Performance in Turkish Agri‐Food Products

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT This study investigates the impact of geographical indication (GI) certification on the export performance of Turkish agri‐food products by analyzing both trade volume and unit value dynamics. Drawing on monthly data from 2000 to 2024 across 22 GI‐certified products, the research employs product‐level regressions, fixed‐effects panel models ...
Ihlas Sovbetov, Muge Burcu Ozdemir
wiley   +1 more source

MODEL ARIMA SEMIPARAMETRIK

, 2022
Pada pemodelan stokastik asumsi error diperlukan untuk memvalidasi suatu model. Error yang baik adalah error yang kecil, berdistribusi normal dan memenuhi sifat keacakan.
Helmi, Helmi, Pratiwi, Rosi, Yundari, Yundari   +2 more
core   +1 more source

Using t-distribution for robust‎ hierarchical Bayesian small area estimation under measurement error in covariates [PDF]

, 2023
Small area estimation often suffers from imprecise direct estimators due to small sample sizes. One method for giving direct estimators more strength is to use models.‎ Models ‎employ area effects and ‎include supplementary information from extra ...
Serena, Arima, Shaho, Zarei
core   +1 more source

Understanding Egg Price Volatility and Policy Implications in the U.S. With Machine Learning

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT Eggs are an inexpensive and sustainable source of proteins, but volatility in the U.S. egg prices has intensified in recent years, raising concerns over food affordability and market stability. This study examines the drivers of U.S. egg price dynamics over 2004–2025 using a two‐stage framework that combines LASSO‐based variable selection with
Xuemei Zhao, Simon Meister, Lucie Maruejols, Xiaohua Yu   +3 more
wiley   +1 more source