Results 61 to 70 of about 74,761 (297)
Predictive analytics in accounting: Using regression models to forecast financial outcomes
Alexandria Engineering JournalThis study evaluates and optimizes sales prediction forecasting models through traditional time-series algorithms and machine learning algorithms, with a specific focus on dynamic models instead of static. The research analyzes four different forecasting
I. Elbatal +5 more
doaj +1 more source
Advanced Science, EarlyView.TarPass provides a rigorous benchmark for target‐aware de novo molecular generation by jointly evaluating protein‐ligand interactions, molecular plausibility, and drug‐likeness on 18 well‐studied targets. Results show that current models often fail to consistently surpass random baseline in target‐specific enrichment, while post hoc multi‐tier virtual ...
Rui Qin +11 more
wiley +1 more source
MODEL PERAMALAN SEASONAL AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (SARIMA) DAN PENERAPANNYA [PDF]
, 2009 Seasonal Autoregressive Integrated Moving Average (SARIMA) merupakan pengembangan dari model Autoregressive Integrated Moving Average (ARIMA) padadata runtun waktu yang memiliki pola musiman.
Niken, Anggrayni
core
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
Enhancing Sales Performance through ARIMA-Based Predictive Modeling: Insights and Applications Model
Journal of Information Systems and InformaticsGociko Snack, a Micro, Small, and Medium Enterprise (MSME), often faces significant challenges in managing its inventory due to the unpredictable nature of market demand.
Dwi Hartanti, Hanifah Permatasari
doaj +1 more source
Clinical and epidemiological rounds. Time series
Iatreia, 2016 Analysis of time series is a technique that implicates the study of individuals or groups observed in successive moments in time. This type of analysis allows the study of potential causal relationships between different variables that change over time ...
León-Álvarez, Alba Luz +3 more
doaj +1 more source
PENERAPAN MODEL ARFIMA (AUTOREGRESSIVE FRACTIONALLY INTEGRATED MOVING AVERAGE) [PDF]
, 2009 ABSTRAK. Beberapa metode pemodelan time series telah dikembangkan. Metode yang paling umum digunakan adalah ARIMA. ARIMA sangat efektif digunakan untuk memodelkan data yang tidak stasioner, yang ditunjukkan oleh plot ACF yang turun secara eksponensial ...
Liana Kusuma, Kusuma +1 more
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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
Time-varying persistence in US inflation [PDF]
, 2016 The persistence property of inflation is an important issue not only for economists, but especially for central banks, given that the degree of inflation persistence determines the extent to which central banks can control inflation. Further, not only is
Caporin, Massimiliano, Gupta, Rangan
core +2 more sources
Topological Properties of International Commodity Market: How Uncertainty Affects the Linkages?
Agribusiness, EarlyView.ABSTRACT The study aims to explore the network topology of the international commodity market by examining the interconnections among 21 commodity futures across various categories, including energy, precious and industrial metals, and agriculture. We analyze the market structure of these commodity futures under both low and high uncertainty conditions
Ibrahim Yagli, Bayram Deviren
wiley +1 more source