A statistical marketing consulting project financed by RAI, the public Italian television, is illustrated. Two alternative models have first been used, a statistical regression model and a data mining one, of a more empirical nature. Then the two models are hybridised in a third model, a compromise useful for applications. Finally, some real forecasting examples are illustrated
In this paper the interactions between television audience and social networks have been analysed, e...
Ovaj rad opisuje teorijsku podlogu algoritama strojnog učenja koji su razmatrani za predviđanje gled...
In this paper we explore the forecasting performances of methods based on a pre-selection of monthly...
Predicting future television audience based on past data is a statistical marketing exercise of grea...
Despite the state of flux in media today, television remains the dominant player globally for advert...
In contemporary TV audience prediction, outliers are considered mere anomalies in the otherwise cycl...
Television audience data have become significant indicators of interest in sports events. Event orga...
This paper investigates the effect of aggregation and non-linearity in relation to television rating...
This paper investigates the effect of aggregation in relation to the accuracy of television network ...
Many companies consider essential to obtain forecast of time series of uncertain variables that infl...
The paper investigates the behaviour of “couch potato” audience of the Italian Football League - Ser...
The authors set out and estimate a dynamic logit model of viewing behaviour, which relates a channel...
The specific objective of the present study is to develop and test an early-stage, empirical model f...
This paper reports the analysis of a forecasting problem based on time series. It is noted that the...
This paper investigates the relationship between Football and TV audience looking for empirical evid...
In this paper the interactions between television audience and social networks have been analysed, e...
Ovaj rad opisuje teorijsku podlogu algoritama strojnog učenja koji su razmatrani za predviđanje gled...
In this paper we explore the forecasting performances of methods based on a pre-selection of monthly...
Predicting future television audience based on past data is a statistical marketing exercise of grea...
Despite the state of flux in media today, television remains the dominant player globally for advert...
In contemporary TV audience prediction, outliers are considered mere anomalies in the otherwise cycl...
Television audience data have become significant indicators of interest in sports events. Event orga...
This paper investigates the effect of aggregation and non-linearity in relation to television rating...
This paper investigates the effect of aggregation in relation to the accuracy of television network ...
Many companies consider essential to obtain forecast of time series of uncertain variables that infl...
The paper investigates the behaviour of “couch potato” audience of the Italian Football League - Ser...
The authors set out and estimate a dynamic logit model of viewing behaviour, which relates a channel...
The specific objective of the present study is to develop and test an early-stage, empirical model f...
This paper reports the analysis of a forecasting problem based on time series. It is noted that the...
This paper investigates the relationship between Football and TV audience looking for empirical evid...
In this paper the interactions between television audience and social networks have been analysed, e...
Ovaj rad opisuje teorijsku podlogu algoritama strojnog učenja koji su razmatrani za predviđanje gled...
In this paper we explore the forecasting performances of methods based on a pre-selection of monthly...