Results 111 to 120 of about 412,561 (324)
A Comparison between Neural Networks and Traditional Forecasting Methods: A Case Study
International Journal of Engineering Business Management, 2009 Forecasting accuracy drives the performance of inventory management. This study is to investigate and compare different forecasting methods like Moving Average (MA) and Autoregressive Integrated Moving Average (ARIMA) with Neural Networks (NN) models as ...
C. A. Mitrea, C. K. M. Lee, Z. Wu
doaj +2 more sources
Forecasting The JSE Top 40 Using Long Short-Term Memory Networks [PDF]
arXiv, 2021 As a result of the greater availability of big data, as well as the decreasing costs and increasing power of modern computing, the use of artificial neural networks for financial time series forecasting is once again a major topic of discussion and research in the financial world.
arxiv
Vector Autoregressive Moving Average Model with Scalar Moving Average [PDF]
arXiv, 2019 We show Vector Autoregressive Moving Average models with scalar Moving Average components could be estimated by generalized least square (GLS) for each fixed moving average polynomial. The conditional variance of the GLS model is the concentrated covariant matrix of the moving average process.
arxiv
A central limit theorem for autoregressive integrated moving average processes
Mathematical and Computer Modelling, 1993 A central limit theorem for normalized sums of random variables that form an autoregressive integrated moving average (ARIMA) process is developed. The need for such a limit theorem is discussed in connection with modeling total compensation costs associated with insurance or medical claims.
openaire +2 more sources
Downscaling Epidemiological Time Series Data for Improving Forecasting Accuracy: An Algorithmic Approach [PDF]
arXiv, 2023 Data scarcity and discontinuity are common occurrences in the healthcare and epidemiological dataset and often need help in forming an educative decision and forecasting the upcoming scenario. Often, these data are stored as monthly/yearly aggregate where the prevalent forecasting tools like Autoregressive Integrated Moving Average (ARIMA), Seasonal ...
arxiv
Limnology and Oceanography, Volume 67, Issue 12, Page 2621-2634, December 2022., 2022 Abstract Headwater streams are control points for carbon dioxide (CO2) emissions to the atmosphere, with relative contributions to CO2 emission fluxes from lateral groundwater inputs widely assumed to overwhelm those from in‐stream metabolic processes.
Susana Bernal +5 more
wiley +1 more source
Characteristics of Machine Learning-based Univariate Time Series Imputation Method
Jurnal InformatikaHandling missing values in univariate time series analysis poses a challenge, potentially leading to inaccurate conclusions, especially with frequently occurring consecutive missing values. Machine Learning-based Univariate Time Series Imputation (MLBUI)
Dini Ramadhani +2 more
doaj +1 more source
Modelling risk for commodities in Brazil: An application to live cattle spot and futures prices [PDF]
arXiv, 2021 This study analysed a series of live cattle spot and futures prices from the Boi Gordo Index (BGI) in Brazil. The objective was to develop a model that best portrays this commodity's behaviour to estimate futures prices more accurately. The database created contained 2,010 daily entries in which trade in futures contracts occurred, as well as BGI spot ...
arxiv
Animal Research and One Health, EarlyView.Nelore (N) and Nelore × Pantaneiro (NP) heifers exhibited similar grazing times, which were higher compared with Nelore × Angus (NA) heifers. Nelore heifers showed higher wither height and hip height values compared with NP heifers. The average values for NA heifers did not differ from the other genotypes. It was observed that chest depth, heart girth,
Maria C. E. Queiroz +7 more
wiley +1 more source
Limnology and Oceanography, Volume 67, Issue 12, Page 2809-2820, December 2022., 2022 Abstract Underwater light is a highly dynamic resource for phytoplankton. Fluctuating light influences photosynthesis, respiration, biosynthesis, and growth at different timescales, but the interplay of these processes is not well‐understood. Subsamples of a phytoplankton community from the turbid, well‐mixed lake TaiHu (China) were either vertically ...
Alexis Lucas Norbert Guislain +1 more
wiley +1 more source