Forecasting the demand for new telecommunication services

نویسنده

  • Knud Erik Skouby
چکیده

This paper proposes a novel forecasting method which is applicable for new services, where little historical data has been recorded. The method uses instead estimators based on economical, demographic and traffic data. The method is, compared to traditional forecasting procedures that are built upon a solid historical record of data, clearly found to be weaker numerically. However, for novel services it obviously has the advantage that it provides a result, where the traditional method would fail because the data record is too weak. Furthermore, our method has the advantage that as soon as further data becomes available, it can be refined to provide even better results.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Impact of cross-national diffusion process in telecommunications demand forecasting

New product diffusion process studies focus mainly on estimating the adoption rate of the product, within the boundaries of the targeted market. However, and especially for high technology and telecommunications products, it is very likely the case that products or services are introduced simultaneously into a number of market segments, a fact that it is rarely taken into account. Thus, the eff...

متن کامل

Estimating and Forecasting Petroleum Demand in OECD Countries (Gasoline, Jet Fuel and Diesel)

Today, factors such as increasing energy efficiency, use of alternative fuels, and application of  new fuel standards and new environmental laws in OECD countries have led to wide-range of changes in the structure of demand for fossil fuels. Given the importance of light derivatives, namely gasoline, jet fuel and diesel in the demand basked of OECD countries we focus on these products. We use ...

متن کامل

Using Social and Economic Indicators for Modeling, Sensitivity Analysis and Forecasting the Gasoline Demand in the Transportation Sector: An ANN Approach in case study for Tehran metropolis

Compared to the conventional methods, Artificial Neural Networks (ANN) are considered to be one of the reliable tools for modeling of complex phenomena such as demand. Aim of this study is to provide a model for gasoline demand in transportation section of Tehran metropolis through multilayered perceptron neural network and using the presented model in analyzing the sensitivity of the model to ...

متن کامل

Forecasting the success of telecommunication services in the presence of network effects

Historical examples (ISDN, Teletex, telefax, telex) show us that forecasting efforts in the telecommunication sector can go awry – not only by a few percentage points but by large magnitudes. We maintain that with strong network effects it is not possible to forecast the success of telecommunication services with a high degree of confidence. This paper reviews the role played by network effects...

متن کامل

Three Approaches to Time Series Forecasting of Petroleum Demand in OECD Countries

Petroleum (crude oil) is one of the most important resources of energy and its demand and consumption is growing while it is a non-renewable energy resource. Hence forecasting of its demand is necessary to plan appropriate strategies for managing future requirements. In this paper, three types of time series methods including univariate Seasonal ARIMA, Winters forecasting and Transfer Function-...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2017