Results 91 to 100 of about 6,660,147 (290)
Abstract Statistical analysis is a cornerstone of scientific research, yet young researchers in aquatic sciences often struggle when analyses begin without a clearly defined research question or a solid understanding of the data structure. This disconnect between data collection and analytical decision‐making recurrently drives unreliable findings ...
Juline Rodrigues da Conceição +1 more
wiley +1 more source
Forecasting prison populations using sentencing and arrest data [PDF]
Aim: To develop a method for forecasting the NSW remand and sentenced prisoner populations.Method: Autoregressive Integrated Moving Average (ARIMA) models with other time series as input variables were employed to estimate and forecast changes in the ...
Wai-Yin Wan
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ABSTRACT The use of MALDI mass spectrometry for the analysis of carbohydrates and glycoconjugates is a well‐established technique and this comprehensive review is the twelfth update of the original article published in 1999 and brings coverage of the literature to the end of 2024.
David J. Harvey
wiley +1 more source
Temporal aggregation of univariate and multivariate time series models: A survey [PDF]
We present a unified and up-to-date overview of temporal aggregation techniques for univariate and multivariate time series models explaining in detail how these techniques are employed.
Andrea Silvestrini, David Veredas
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Tema ovog rada jesu ARIMA modeli. Objašnjeno je njihovo značenje i izvedene su formule koje objašnjavaju proces izrade modela. Cilj je bio utvrditi jesu li ARIMA modeli upotrebljivi u proračunima vremenskih nizova u potrošnji električne energije ...
Kamenar, Erik
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Based on GBD 2021, the study analyzed the temporal trends of ischemic stroke (IS) burden in China from 1990 to 2021 and forecasted incidence and mortality through 2050. The absolute burden of IS in China will continue to rise by 2050, driven mainly by population aging, with faster age‐standardized incidence rate growth in females than males.
Yijun Zhang +5 more
wiley +1 more source
Combining disaggregate forecasts for inflation: The SNB's ARIMA model: the SNB's ARIMA model
ISSN:1661 ...
Huwiler, Marco, Kaufmann, Daniel
openaire +2 more sources
Forecasting Irish inflation using ARIMA models [PDF]
This paper outlines the practical steps which need to be undertaken to use autoregressive integrated moving average (ARIMA) time series models for forecasting Irish inflation. A framework for ARIMA forecasting is drawn up.
Kenny, Geoff +2 more
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ML‐Assisted Adaptive Fade Mitigation for Satellite Connectivity
ABSTRACT The demand for reliable and high‐quality wireless networks driven by resource‐intensive applications and services is growing rapidly and invoked the emergence of beyond 5G (B5G) and 6G paradigm and technologies which include satellite systems as part of the nonterrestrial networks (NTN).
Jinwara Surattanagul +4 more
wiley +1 more source
Comparison of ARIMA and Bayesian Structural Time Series Models for Predicting the Trend of Syphilis Epidemic in Jiangsu Province [PDF]
Fengquan Zhang,1,* Yanyan Li,2,* Xinxiao Li,2 Bingjie Zhang,2 Chenlu Xue,2 Yongbin Wang2 1Center for Experimental Teaching, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province, 453003, People’s Republic of China ...
Zhang F +5 more
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