Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 12 of 12 for “"Moving average model"”.
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New product forecasting of appliance and consumables : moving average model
… For appliance forecast, three forecasting models are selected and used by the final demand plaining software while only Moving Average Model is explained in detail in this paper. Moreover, this paper also demonstrates the methodology to forecast consumable pods.
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Development of dynamic recursive models for freeway travel time predictions
… the development of a sound prediction model for travel times is desirable. A comprehensive literature review about existing prediction models was conducted by investigating the advantages, disadvantages, and limitations of each model. Based on the features and properties of previous …
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Comparison of linear parametric models for predicting fMRI response
In this study, five different linear parametric models including Autoregressive model (ARX), Autoregressive Moving Average Model (ARMAX), Box-Jenkins Model (BJ), Instrument Variable Model (IV) and Prediction Error Model (PEM) were used to predict the fMRI response and their performances compared. …
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Empirical Bayes methods in time series analysis
… time series parameters: The autoregressive model, moving average model, mixed autoregressive-moving average, regression with time series errors, regression with unobservable variables, serial correlation, multiple time series and spectral density function. In each case, empirical Bayes …
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Parameter estimation for series observed with round-off error
… proposed for estimating parameters of a finite moving average time series which is observed only after rounding. Method of moments estimators are proposed for estimation of parameters of time series observed with general measurement error, including error, ε<sub>n</sub>, which is correlated with …
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Neuro-Fuzzy Forecasting of Tourist Arrivals
This study develops a model to forecast inbound tourism to Japan, using a combination of artificial neural networks and fuzzy logic and compares the performance of this forecasting model with forecasts from other quantitative forecasting methods namely, the multi-layer perceptron neural network …
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Tracking autonomic balance using open and closed loop models of the arterial baroreflex
… and cardiac contractility. Accurate quantitative models of the baroreflex would provide physiological insight, and could allow for real-time tracking of ANS activity in clinical settings. Prior work has concentrated on modeling the baroreflex nonparametrically with linear transfer functions, or …
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Demand forecasting and decision making under uncertainty for long-term production planning in aviation industry
… decision with appropriate demand forecasting model and decision-making theory.</p> <p>The first study is focused on demand forecasting. Probabilistic models are evaluated based on the model assumptions and statistics test with historical data. Two forecasting models based on stochastic …
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Forecasting demand for district heating using different forecasting methods
… system. This thesis compares five different models for such forecasts. First, the Auto-Regressive Integrated Moving Average model, or ARIMA, predicted the general average usage based on previous data and was used as a benchmark for other models. Another regression model was created, LOWESS or …
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Past and future responses of soil water to climate change in tropical and subtropical rainforest systems in South America
… simulation with the Autoregressive Integrated Moving Average Model (ARIMA) making the forecast of the future climatic scenario based on the El Niño- Southern Oscillation (ENOS), meteorological systems. The use of Shared Socioeconomic Pathways (SSP) integrates the socio-political dynamics …
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State-space models for stream networks
… the stream network, we propose a state-space model to describe the spatial dependence in this tree-like structure with ordering based on flow. Developing a state-space formulation permits the use of the well known Kalman recursions. Variations of the Kalman Filter and Smoother are derived for …
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Monitoring, diagnosis, and control for advanced anesthesia management
… on the problems of monitoring anesthesia depth, modeling the dynamics of anesthesia patient for the purpose of control, prediction, and diagnosis. </p> <p>Monitoring the anesthesia depth is not only for keeping the patient in adquate anesthesia level but also for preventing the patient from …