Results 71 to 80 of about 72,436 (339)
Neural Information Processing and Time‐Series Prediction with Only Two Dynamical Memristors
Advanced Electronic Materials, EarlyView.The present study demonstrates how simple circuits with only two memristive devices are utilized to perform high complexity temporal information processing tasks, like neural spike detection in noisy environment, or time‐series prediction. This circuit simplicity is enabled by the dynamical complexity of the memristive devices, i.e.
Dániel Molnár +12 more
wiley +1 more source
Statistical trend analysis and forecast modeling of air pollutants [PDF]
Global Journal of Environmental Science and Management, 2018 The study provides a statistical trend analysis of different air pollutants using Mann-Kendall and Sen’s slope estimator approach on past pollutants statistics from air quality index station of Varanasi, India.
A. Jaiswal, C. Samuel, V.M. Kadabgaon
doaj +1 more source
Metode Autoregressive Integrated Moving Average untuk Meramalkan Penjualan
EKOMABIS: Jurnal Ekonomi Manajemen Bisnis, 2020 Kondisi sales performance dipengaruhi oleh sales budget (anggaran penjualan) yang telah ditetapkan di periode sebelumnya. Penetapan sales budget berdasarkan pada hasil ramalan penjualan (sales forecast) yang sudah dianalisa sebelumnya. Penetapan sales forecast di PT.
Emmelia Tan, Indri Astuti
openaire +2 more sources
Product differentiation in the fruit industry: Lessons from trademarked apples
Agribusiness, EarlyView.Abstract We derive price premiums for patented or trademarked apple varieties, also known as “club apples,” compared to open‐variety apples. We use an expansive retail scanner dataset, along with unique data on apple taste characteristics, to estimate monthly club apple premiums for 2008–2018.
Modhurima Dey Amin +3 more
wiley +1 more source
APLIKASI PERENCANAAN PEMBELIAN BARANG PADA PERUSAHAAN MANGGALA MOTOR DENGAN MENGGUNAKAN METODE ARIMA
Jurnal Informatika, 2009 Manggala Motor is a vehicles selling company. Occasionally the company lacks goods stock so that it can not obtain maximal profit because the customer needs can not be compiled by the company directly.
Yulia ., Tanti Octavia, Danny Wijaya
doaj
Stochastic Interest Rates and Autoregressive Integrated Moving Average Processes [PDF]
ASTIN Bulletin, 1989 AbstractA practical method is developed for computing moments of insurance functions when interest rates are assumed to follow an autoregressive integrated moving average process.
openaire +2 more sources
Forecasting Inflation: Autoregressive Integrated Moving Average Model [PDF]
European Scientific Journal, ESJ, 2016 This study compares the forecasting performance of various Autoregressive integrated moving average (ARIMA) models by using time series data. Primarily, The Box-Jenkins approach is considered here for forecasting. For empirical analysis, we used CPI as a proxy for inflation and employed quarterly data from 1970 to 2006 for Pakistan.
Iqbal, Muhammad, Naveed, Amjad
openaire +3 more sources
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
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
Développements récents dans la modélisation de la persistance à long terme [PDF]
, 1990 Afin de modéliser efficacement la persistance dans les séries chronologiques rencontrées en hydrologie, des développements récents autour du modèle fractionnaire auto-régressif à moyenne mobile (FARMA) (fractional autoregressive-moving average model ...
Hipel, W., Jimenez, C., McLeod, A.
core +1 more source