Results 61 to 70 of about 153,678 (301)
Trends in Rheumatoid Arthritis Mortality Among Postmenopausal Women in the United States, 1999–2023
iMetaMed, EarlyView.RA‐related mortality among U.S. postmenopausal women has markedly declined since 1999. Despite this overall progress, significant inequalities by race, region, and age highlight ongoing challenges in achieving equitable health outcomes. ABSTRACT Rheumatoid arthritis (RA) disproportionately affects postmenopausal women, who are at an increased risk of ...
Yuhui Zhao +4 more
wiley +1 more source
Jurnal LebesgueThe Autoregressive Fractionally Integrated Moving Average (ARFIMA) model is a development of the ARIMA model with the differencing values being fractional numbers.
Muhammad Reja Sinaga +2 more
doaj +1 more source
Improving Short-Term Electricity Price Forecasting Using Day-Ahead LMP with ARIMA Models
, 2018 Short-term electricity price forecasting has become important for demand side management and power generation scheduling. Especially as the electricity market becomes more competitive, a more accurate price prediction than the day-ahead locational ...
Miller, Carol +3 more
core +1 more source
Forecasting Natural Gas Prices in Real Time
Journal of Applied Econometrics, EarlyView.ABSTRACT This paper provides a comprehensive analysis of the forecastability of the real price of natural gas in the United States at the monthly frequency considering a universe of models that differ in complexity and economic content. We find that considerable reductions in mean‐squared prediction error relative to a no‐change benchmark can be ...
Christiane Baumeister +3 more
wiley +1 more source
Forecasting growth with time series models [PDF]
, 1993 This paper compares the structure of three models for estimating future growth in a time series. It is shown that a regression model gives minimum weight to the last observed growth and maximum weight to the observed growth in the middle of the sample ...
Peña, Daniel
core +1 more source
Prediction in Photovoltaic Power by Neural Networks [PDF]
, 2017 The ability to forecast the power produced by renewable energy plants in the short and middle term is a key issue to allow a high-level penetration of the distributed generation into the grid infrastructure. Forecasting energy production is mandatory for
Altilio, Rosa +3 more
core +1 more source
Comparison of Univariate ARIMA, Multivariate ARIMA and Vector Autoregression Forecasting [PDF]
Working paper (Federal Reserve Bank of Cleveland), 1986 A comparison of the forecasting abilities of univariate ARIMA, multivariate ARIMA, and VAR, and examination of whether series should be differenced before estimating models for forecasting purposes.
openaire +2 more sources
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
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Journal of Clinical Laboratory Analysis, EarlyView.This study applies machine learning methods, specifically Random Forest and Bagged CART, to classify Cryptosporidium spp. infections among children and identify key risk factors. The Bagged CART model demonstrated superior sensitivity and predictive performance, highlighting household crowding and water source as the most influential determinants of ...
Türkan Mutlu Yar +2 more
wiley +1 more source
Indonesian Government Revenue Prediction Using Long Short-Term Memory
InspirationGovernment revenue plays an important role in achieving national development goals. In the context of optimal state treasury management, accurate forecasts of government revenue are needed so that cash can be utilized optimally for the coming period ...
Mahmud +4 more
doaj +1 more source