Results 241 to 250 of about 517,907 (286)

Time Series Forecasting

2008
La previsione della domanda commerciale viene generata mediante l’impiego di modelli matematici di Sales Forecasting, i quali analizzano i valori disponibili delle vendite realizzate nel passato, interpretano i fenomeni di regolarita nella domanda e proiettano le componenti delle serie storiche nel futuro, dando luogo al piano previsionale di domanda ...
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Time Series Forecasting

2019
Forecasting is important in economics, commerce and various disciplines of social science and pure science. Forecasting is a method for computing future values by analysing the behaviour of present and past values of a time series. Forecasting model may be univariate or multivariate.
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Time Series Forecasting

2023
Elizabeth Sharer, Hari Rajagopalan
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Forecasting hierarchical time series

2021
This thesis was scanned from the print manuscript for digital preservation and is copyright the author. Researchers can access this thesis by asking their local university, institution or public library to make a request on their behalf. Monash staff and postgraduate students can use the link in the References field.
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Forecasting Analogous Time Series

2001
Organizations that use time series forecasting on a regular basis generally forecast many variables, such as demand for many products or services. Within the population of variables forecasted by an organization, we can expect that there will be groups of analogous time series that follow similar, time-based patterns. The co-variation of analogous time
Duncan, George, Wilpen Gorr, Szczypula, Janusz   +2 more
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Forecasting With time Series Models

2002
Having selected a model and fitted its parameters to a given times series, the model can then be used to estimate new data of the time series. If such data are estimated for a time period following the final data value X T of the given time series, we speak of a prediction or forecast.
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Accurate Time Series Forecasting

2020
The main focus of my research is improving the accuracy of time series forecasting using global ensemble approaches. The forecasting/prediction models that I develop can be used to address many real-world forecasting problems such as sales demand forecasting, energy demand forecasting and weather forecasting.
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Time Series, Forecasting, Simulation, Applications

Technometrics, 1994
Michael R. Chernick, Gareth Janacek, Louise Swift   +2 more
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FORECASTING ECONOMIC TIME SERIES

Econometric Theory, 2000
The prediction of future events and developments is an exciting and perhaps mysterious task, often associated with the aura of prophets and seers instead of probabilistic models and computer screens. The reality of macroeconomic forecasting, however, is quite mundane.
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Breast Cancer Statistics, 2022

Ca-A Cancer Journal for Clinicians, 2022
Hyuna Sung, Kimberly D Miller, Rebecca L Siegel   +2 more
exaly