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time series regression

Medium Term Load Forecasting using Time Series Regression and Fuzzy Logic for the State of Assam

Medium Term Load Forecasting using Time Series Regression and Fuzzy Logic for the State of Assam

... ABSTRACT: An efficient forecast of power demand is a vital part of power system planning and operation. With the ever increasing demand for electrical energy in today’s world, it has become a challenging task to cope up ...

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The Inefficiency of the Von Neumann Ratio in Time Series Regression

The Inefficiency of the Von Neumann Ratio in Time Series Regression

... 2 This is to be expected since the larger p3X3 is, the less ~the relative influence of ut in the residual vt, given by I0~ which tends to assume functional form with a necessarily small [r] ...

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Generalized linear time series regression

Generalized linear time series regression

... some time been used in demographics and actuarial science (Lee & Miller, 2001; Renshaw & Haberman, 2003a, 2003b; Wong-Fupuy & Haberman, 2004; Li & Chan, 2005), it has only recently found its way ...

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A Preliminary Time Series Analysis of Church Activity in Colonial Woodbury, Connecticut

A Preliminary Time Series Analysis of Church Activity in Colonial Woodbury, Connecticut

... Time series regression analysis suggested that religious activity in Woodbury, as reflected in new church members and baptisms, was influenced by wars and economic activity but not influ[r] ...

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Time series support vector regression models with missing data treatments for water level prediction

Time series support vector regression models with missing data treatments for water level prediction

... Linear Regression (MLR), Partial Least Squares Regression (PLSR), Support Vector Regression (SVR), and SVR-based time series ...linear regression with single ...

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Predictive Modeling of Gas Production, Utilization and Flaring in Nigeria using TSRM and TSNN: A Comparative Approach

Predictive Modeling of Gas Production, Utilization and Flaring in Nigeria using TSRM and TSNN: A Comparative Approach

... the Time Series Regression Model (TSRM) and the Time Series Statistical Neural Network (TSNN) to estimate the production, utilization and flaring of natural gas in Nigeria from 1958 to ...

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Aircraft Demand Forecasting

Aircraft Demand Forecasting

... lead time, the number of orders placed and realized deliveries may be quite ...with time series and multiple regression forecasting methods to develop different forecasts for quarterly and ...

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Stability of a Non Linear Exponential Autoregressive Model

Stability of a Non Linear Exponential Autoregressive Model

... This chapter examines the time series of people with diabetes. As each statistic represents the monthly total number of people infected with this disease, where the building of different mathematical models ...

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Diagnostic Checking, Time Series and Regression

Diagnostic Checking, Time Series and Regression

... After identification and estimation of the parameters in a fitted model, the good- ness of fit test is the next most important step for testing the selected model. In time series analysis, we assume that ...

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Comparison of neural networks and regression time series in estimating the development of the EU and the PRC trade balance

Comparison of neural networks and regression time series in estimating the development of the EU and the PRC trade balance

... Then regression will be performed using neural ...functions. Time will be the independent ...the time series into three sets – training, testing, and ...the time series will be ...

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Comparison of neural networks and regression time series in estimating the Czech Republic and China trade balance

Comparison of neural networks and regression time series in estimating the Czech Republic and China trade balance

... In general, each prediction is given by a certain degree of probability with which it is to be fulfilled. As we predict the future development of any variable, we try to estimate the future development of this variable ...

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Time Series Analysis of PM10 for Bulandhshahr Industrial Area in NCR using Multiple Linear Regression

Time Series Analysis of PM10 for Bulandhshahr Industrial Area in NCR using Multiple Linear Regression

... the regression explains most of the variability in Y and the fitted model is ...that regression does not explain much variability in Y and the fitted model is not ...

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Relationship between Domestic Debt, Macro-Economic Indices and Viability of the Construction Sector in Nigeria

Relationship between Domestic Debt, Macro-Economic Indices and Viability of the Construction Sector in Nigeria

... A study by (Fatukasi, 2008) revealed Nigerian economy is endemic with high inflation rate and remain a concern to all including government despite various policies to combat it. In year 2000, inflation rate was 6.9%, ...

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Crime Patterns and Prediction: A Data Mining and Machine Learning Approach

Crime Patterns and Prediction: A Data Mining and Machine Learning Approach

... different time-series graphs for our dataset using various regression algorithms like Support Vector Machine, Decision tree regression, Random Forest ...

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MODEL FOR MINIMUM AND MAXIMUM TEMPERATURE OF THE UPPER EAST REGION OF GHANA

MODEL FOR MINIMUM AND MAXIMUM TEMPERATURE OF THE UPPER EAST REGION OF GHANA

... temperature series in other to determine the trends and abrupt changes in the temperatures and the Gaussian Filtering or Smoothing was used to show the variations and trends ...In time-series ...

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A comparative study for back propagation neural network and nonlinear regression models for predicting dengue outbreak

A comparative study for back propagation neural network and nonlinear regression models for predicting dengue outbreak

... This study aims to design a Neural Network Model (NNM) and Nonlinear Regression Model (NLRM) using different architectures and parameters incorporating time series,[r] ...

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Relationship between inflation, unemployment and labor force change rate in France: cointegration test

Relationship between inflation, unemployment and labor force change rate in France: cointegration test

... Our explanation of the inflation and unemployment reaction on the change in the monetary policy in France is as follows. Money supply in excess of that related to real GDP growth is completely controlled by the demand of ...

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Unemployment and Economic Growth in Ethiopia

Unemployment and Economic Growth in Ethiopia

... annual time series data (1970- 2000) and using a three stages least square (3SLS) ...linear regression analysis and involving nine variables ...

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An Optimal Temporal and Feature Space Allocation in Supervised Data Mining

An Optimal Temporal and Feature Space Allocation in Supervised Data Mining

... over time [11] [15] ...and time dependent ...logistic regression [10] [12], bootstrapping [7] etc, for predictive modeling with temporal and feature space ...the time dependency structure ...

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Seasonal Based Electricity Demand Forecasting Using Time Series Analysis

Seasonal Based Electricity Demand Forecasting Using Time Series Analysis

... WEKA time series ...office. Time series fore- casting is done with Seasonal data of the seasons such as Summer, Winter and Rainy with the WEKA Learning ...

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