The Sectoral Impact of the Rice Tariffication Law on Filipino Rice Supply: A Time-Series Analysis
The Rice Tariffication Law was implemented in March 2019 to address rice shortage by replacing quantitative restrictions with import tariffs. Prior studies have evaluated its various impacts, but no study has analyzed post-RTL seasonal rice supply data ...
Aaron Benjmin Alcuitas +1 more
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Combined Approximate Entropy Model and ANNs to Predict Inflow at Gorganrood River [PDF]
Prediction of river inflow along with other parameters such as sediment load, flood magnitude, and so on plays an important role in Water Resources Management planning and reservoir operation program.
M. Zanganeh, A.R. Chaji
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Peramalan Data Cuaca Ekstrim Indonesia Menggunakan Model ARIMA dan Recurrent Neural Network
Extreme weather modeling is a challenge for modeling experts in Indonesia and the world. Extreme weather prediction is a complex problem because the chances of it happening are very small, so the developed models often have a low level of accuracy.
Hikmah Hikmah +3 more
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Modelling Petroleum Prices in Tanzania: A Comparative Analysis between ARIMA and Holt’s Method [PDF]
Petroleum is one of the vital sources of energy for economic activities and the most traded commodity worldwide. It is crucial to industry and civilization and as it meets a substantial portion of the world's energy requirements, it has a big impact on ...
Laban Gasper, George Abrahamu
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Forecasting Analysis of Stock Prices on European Markets Using the ARIMA-GARCH Model [PDF]
The achievement of profits when trading on the stock markets is conditioned by a quality analytical forecast of the development of stock prices in the coming period.
Alžběta Zíková, Jitka Veselá
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Prediction of Fruit Production in India: An Econometric Approach
Forecasting is valuable to countries because it enables them to make informed business decisions and develop data-driven strategies. Fruit production offers promising economic opportunities to reduce rural poverty and unemployment in developing countries
Ray Soumik +8 more
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The proper forecasting of listed companies’ earnings is crucial for their appropriate pricing. This paper compares forecast errors of different univariate time-series models applied for the earnings per share (EPS) data for Polish companies from the ...
Wojciech Kuryłek
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It is currently unclear how quantitative changes in chromatin loop propensity contribute to differential gene regulation. Here, the authors use phased Hi-C, RNA-seq, and ChIP-seq to show that subtle changes in loop propensity associate with differential ...
William W. Greenwald +10 more
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PREDICTING USD/ TL EXCHANGE RATE IN TURKEY: THE LONG-SHORT TERM MEMORY APPROACH
The prediction of the exchange rate time series has been quite challenging but is an essential process. This is as a result of the inherent noise and the volatile behavior in these series.
Abdul-razak Bawa Yussif +3 more
doaj +1 more source
پیشبینی اقلیمی استوکستیکی عملکرد چهار گیاه گندم، جو، سیبزمینی و ذرت دانهای در استانهای آذربایجان شرقی و غربی در راستای توسعه برنامه ریزی کشاورزی [PDF]
سابقه و هدف: برآورد کارآمد عملکرد محصول در تصمیمگیریهای مربوط به سیاستگذاریها و برنامهریزی کشاورزی از اهمیت چشمگیری برخوردار است. همچنین از دغدغههای اصلی کشورهای در حال توسعه، آگاهی از میزان عملکرد محصول با دید کلی از عوامل موثر بر عملکرد میباشد ...
لاله پرویز +1 more
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