Holt-Winters
Prediction Method of Deep Horizontal Displacement of Slope Soil Based on Damped Holt Winters Model
... The working principle of this method is as follows: relying on the data set of actual horizontal displacement monitoring in the deep layer of slope soil, short-term prediction is conducted with the damped ...
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Method of Holt Winters and Back Propagation FOR Prediction of Rice Production by Considering Rat Pest Attack
... seasonal, and easy elements in data management (no data transformation is required if the data used is not stationary and does not need to perform auto regression analysis) in making predictions. In addition, ...
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The Accuracy Rate of Holt-Winters Model with Particle Swarm Optimization in Forecasting Exchange Rates
... On the other hand, Natarajan and Periasamy used both PSO and back propagation (BPN) techniques to train a neural network; results showed that PSO is preferred over BPN. Those evidences showed that training the neural ...
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Comparing the Forecasting Performance of Seasonal Arima and Holt -Winters Methods of Births at a Tertiary Healthcare Facility in Ghana
... of Holt-Winters, ARIMA model also has equivalence with a number of exponential smoothing models ...(17). Holt-Winters (HW) model has been used in forecasting the number of assisted childbirth ...
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Modelling and Forecasting Inflation Rate in Kenya Using SARIMA and Holt-Winters Triple Exponential Smoothing
... the Holt-winters Triple exponential Smoothing model gave value of ...than Holt-Winters method based on the accuracy parameters ...that Holt Winters was more precise than SARIMA ...
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Determining the Better Approach for Short-Term Forecasting of Ghana’s Inflation: Seasonal-ARIMA vs. Holt-Winters Maurice Omane-Adjepong, Francis T. Oduro, Samuel Dua Oduro
... The Holt-Winters’ (HW) method of smoothing is a generalization of the Holt’s linear ...by Holt and Winters, and was later named after the ...The Holt-Winters method is widely ...
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Application of the Seasonal Holt-Winters Model to Study Exchange Rate Volatility
... of Holt-Winters exponential smoothing techniques have been applied in the analysis and predict of exchange rate ...the Holt-Winters model were ...the Holt-Winters ...
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Prediction of non brazilian crude steel production using holt winters method
... of Holt Winters, arriving at the conclusion that the one most appropriate to the dataset under analysis is the model with linear tendency and multiplicative seasonality, that according to the selection ...
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Forecasting Annual International Tourist Arrivals in Zambia Using Holt Winters Exponential Smoothing
... Tourism is one of the major contributors to foreign exchange earnings to Zambia and world economy. Annual International tourist arrivals in Zambia from 1995 to 2014 are considered in this paper. In this study we ...
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Usage of Holt-Winters Model and Multilayer Perceptron in Network Traffic Modelling and Anomaly Detection
... Combination of the two mechanisms (i.e., misuse detection and anomaly detection) provides more comprehensive protection against all types of threats, even those par[r] ...
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Time series modelling for forecasting vehicular traffic flow in Dublin
... of the data is performed. From the comparison it is seen that the Holt Winters’ trend and seasonal smoothing technique is the best model for this junction. However, the seasonal ARIMA model is also quite ...
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Performance of combined double seasonal univariate time series models for forecasting water consumption
... Abstract: In this article, we examine the daily water demand forecasting performance of double seasonal univariate time series models (Holt-Winters, ARIMA and GARCH) based on multi-step ahead forecast mean ...
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Oil Price Forecasting Based on Various Univariate Time Series Models
... Two types of time-series-based forecasting models exist: univariate and multivariate. Univariate forecasting involves using historical data to predict the value of a continuous variable that serves as the response or ...
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Forecasting international bandwidth capacity using linear and ANN methods
... Estimation by method begins at observation 8 to allow a subset of data of observation 1 to observation 7 to estimate each model. 12 This allows a possible maximum 7 period lag length for the estimation of parameters of ...
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Linehaul Forecasting at TNT
... the Holt-Winters* forecasts compared to the current ...the Holt-Winters* method as input. We found that the forecast of Holt-Winters* could save around ...the ...
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CLASSIFICATIONS, ASSESSMENTS AND CHARACTERISTICS AS FACTORS TOWARDS ANALYZING ORGANIZATIONAL KNOWLEDGE
... smoothing holt winter’s is a method for forecasting calculations of some existing statistical and computational ...Smoothing Holt Winter’s is the determination for initial values (α, β, & γ) are ...
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Sales Prediction : Analysis of Time Series Data Using K-Means Based Smooth Subspace Clustering
... used, Holt-Winters Additive Method, and Holt-Winters Multiplicative Method applied in ...using Holt- Winters method in the ERP can make the system more accurate and efficient in ...
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AUDIO DATA AS AN ENCODING FOR COLOR QUICK RESPONSE CODE (CQR) 3D BARCODES
... Fluctuations in financial flows of small manufacturing enterprises often have a certain periodicity, which is associated with the specific production of a particular type of product. The need to take into account this ...
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Demand forecasting for production planning in a food company
... the Holt-Winters method, which was applied in the time series analyzed in this work, showed its effectiveness for forecasting demand of products that presents trend and seasonality patterns in sales ...
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The Australian-American alliance: Holt, LBJ and the Vietnam War
... Harold Holt inherited the prime ministership just as Australia’s two major allies, the UK and US, were undertaking vastly different roles in Southeast ...the Holt government’s decision to send a ...
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