Results 91 to 100 of about 412,561 (324)
Journal of Mathematics : Theory and Application, 2020 Internet quota is the number of limits or limits of usage in internet use.To overcome this, it is necessary to forecast the amount of internet quota usage.
Tasna Yunita
semanticscholar +1 more source
Udayana Journal of Social Sciences and Humanities (UJoSSH), 2020 Rice farming for Indonesia is vital. Rice farming is inseparable from the fact that rice farming is the livelihood of most of the population, while rice is the staple food of almost all Indonesians. The nature of rice that is easy to process and, following the public consumption culture, causes a very high dependence on rice.
Bekti Endar Susilowati +3 more
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Autoregressive Integrated Moving Average Model for Forecasting COVID-19 in India [PDF]
Journal of Postgraduate Medicine, Education and Research, 2020 Introduction: We aimed to predict the trend of coronavirus (COVID-19) in India using autoregressive integrated moving average (ARIMA) model Even though many models are available, ARIMA is found to be the best in COVID-19 situation;because ARIMA uses actual data and predicts accurately for a short period and thus proved as an effective public health ...
Manikandan Mani, Ariarathinam Newtonraj
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Agribusiness, EarlyView.Abstract The vegetable market experiences significant price fluctuations due to the complex interplay of trend, cyclical, seasonal, and irregular factors. This study takes Korean green onions as an example and employs the Christiano–Fitzgerald filter and the CensusX‐13 seasonal adjustment methods to decompose its price into four components: trend ...
Yiyang Qiao, Byeong‐il Ahn
wiley +1 more source
Long‐run predictability tests are even worse than you thought
Journal of Applied Econometrics, Volume 37, Issue 7, Page 1334-1355, November/December 2022., 2022 Summary We derive asymptotic results for the long‐horizon ordinary least squares (OLS) estimator and corresponding t$$ t $$‐statistic for stationary autoregressive predictors. The t$$ t $$‐statistic—formed using the correct asymptotic variance—together with standard‐normal critical values result in a correctly‐sized test for exogenous predictors.
Erik Hjalmarsson, Tamas Kiss
wiley +1 more source
AIMS Agriculture and Food, 2023 Coffee is a major industrial crop that creates high economic value in Thailand and other countries worldwide. A lack of certainty in forecasting coffee production could lead to serious operation problems for business.
Yotsaphat Kittichotsatsawat +4 more
doaj +1 more source
Generalized Autoregressive Neural Network Models [PDF]
arXiv, 2020 A time series is a sequence of observations taken sequentially in time. The autoregressive integrated moving average is a class of the model more used for times series data. However, this class of model has two critical limitations. It fits well onlyGaussian data with the linear structure of correlation. Here, I present a new model named as generalized
arxiv
Spatial Autoregressive Fractionally Integrated Moving Average Model
In this paper, we introduce the concept of fractional integration for spatial autoregressive models. We show that the range of the dependence can be spatially extended or diminished by introducing a further fractional integration parameter to spatial autoregressive moving average models (SARMA).
Otto, Philipp, Sibbertsen, Philipp
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The Relationship Between Interest Rates and Agricultural Commodity Price Dynamics
Agribusiness, EarlyView.ABSTRACT The U.S. Federal Reserve has undertaken several interest rate interventions in the past decade. This study explores the relationship between U.S. corn and soybean prices and Federal Reserve monetary policy interventions, in the short and long run.
Zhining Sun, Ani L. Katchova
wiley +1 more source
Jurnal Siger Matematika, 2021 Forecasting is a method used to estimate or predict a value in the future using data from the past. With the development of methods in time series data analysis, a hybrid method was developed in which a combination of several models was carried out in ...
Melisa Arumsari, A. Dani
semanticscholar +1 more source