This paper investigates the forecasting ability of a new univariate models family of unobservable components, when compared with other more standard univariate methodologies. A forecasting exercice is carried out with each method, in monthly time series of automobile sales. The accuracy of the differents methods is assesed by comparing several measures of forecasting performance on the out of sample predictions for various horizons as well as differents assumptions on the models parameters
This thesis consists of three chapters on forecasting techniques in economics. In chapter 1, I use c...
Modeling and accurately forecasting trend and seasonal patterns of a time series is a crucial activi...
Includes bibliographical references (pages 63-64)Forecasting is a method of predicting future events...
Forecasting is an important tool for management, planning and administration in various fields. In t...
In this paper four univariate models are fitted to monthly observations of the number of passengers ...
The purpose of this study is to propose a sales forecast model for car dealers. The scope of the re...
In this paper, various enhanced sales forecast methodologies and models for the automobile market ar...
A number of studies in the last couple of decades has attempted to find, in terms of postsample accu...
In Mexico, the automotive industry is considered to be strategic in the industrial and economic deve...
In this paper, various enhanced sales forecast methodologies and models for the automobile market ar...
This gives an account of an study conducted by the authors to empirically asses the predictive value...
Organizations today are required to be prepared for future situations. This preparation can generate...
En este trabajo proponemos un modelo novedoso de componentes no observables para las variaciones en ...
Our main goal in this paper is to evaluate the point forecasting accuracy of several time series eco...
In this paper a univariate model with intervention analysis is specified for the Spanish Industrial...
This thesis consists of three chapters on forecasting techniques in economics. In chapter 1, I use c...
Modeling and accurately forecasting trend and seasonal patterns of a time series is a crucial activi...
Includes bibliographical references (pages 63-64)Forecasting is a method of predicting future events...
Forecasting is an important tool for management, planning and administration in various fields. In t...
In this paper four univariate models are fitted to monthly observations of the number of passengers ...
The purpose of this study is to propose a sales forecast model for car dealers. The scope of the re...
In this paper, various enhanced sales forecast methodologies and models for the automobile market ar...
A number of studies in the last couple of decades has attempted to find, in terms of postsample accu...
In Mexico, the automotive industry is considered to be strategic in the industrial and economic deve...
In this paper, various enhanced sales forecast methodologies and models for the automobile market ar...
This gives an account of an study conducted by the authors to empirically asses the predictive value...
Organizations today are required to be prepared for future situations. This preparation can generate...
En este trabajo proponemos un modelo novedoso de componentes no observables para las variaciones en ...
Our main goal in this paper is to evaluate the point forecasting accuracy of several time series eco...
In this paper a univariate model with intervention analysis is specified for the Spanish Industrial...
This thesis consists of three chapters on forecasting techniques in economics. In chapter 1, I use c...
Modeling and accurately forecasting trend and seasonal patterns of a time series is a crucial activi...
Includes bibliographical references (pages 63-64)Forecasting is a method of predicting future events...