Nonlinear weighted least squares fitting Bass diffusion model

نویسنده

  • Dragan Jukić
چکیده

The Bass model is one of the most well-known and widely used first-purchase diffusion models in marketing research. The main reason for this is that it finds its origin in a formal theory of product diffusion, and that the model parameters have an easy interpretation in terms of innovation and imitation. Namely, Bass classified adopters (first-time buyers) into two groups: innovators and imitators. Imitators, unlike innovators, are those buyers who are influenced in their adoption by the number of previous buyers. Mathematically, the Bass diffusion model is described by the following differential equation: )] ( )[ ( )] ( [ ) ( t N m t N m q t N m p dt t dN − + − = , , 0 ) 0 ( = N 0 ≥ t , (1) where ) (t N is the cumulative number of adopters of a new product at time t , parameter 0 > m is the total market potential for the new product, and the parameters 0 > p and 0 ≥ q are the coefficients of innovation and imitation, respectively. The adoption rate, dt t dN ) ( , is determined by two additive terms. The first term, )] ( [ t N m p − , represents adoptions due to innovators. The second term, )] ( )[ ( t N m t N m q − , represents adoptions due to imitators. The solution of (1) is given by

برای دانلود 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

On parameter estimation in the bass model by nonlinear least squares fitting the adoption curve

The Bass model is one of the most well-known and widely used first-purchase diffusion models in marketing research. Estimation of its parameters has been approached in the literature by various techniques. In this paper, we consider the parameter estimation approach for the Bass model based on the nonlinear weighted least squares fitting of its derivative known as the adoption curve. We show th...

متن کامل

A Discrete Bass Model and Its Parameter Estimation

A discrete Bass model, which is a discrete analog of the Bass model, is proposed. This discrete Bass model is defined as a difference equation that has an exact solution. The difference equation and the solution respectively tend to the differential equation which the Bass model is defined as and the solution when the time interval tends t o zero. The discrete Bass model conserves the character...

متن کامل

Jump–Diffusion Stock-Return Model with Weighted Fitting of Time-Dependent Parameters

This paper treats jump-diffusion processes in continuous time, with emphasis on jump-amplitude distributions, developing more appropriate models using parameter estimation for the market. The proposed method of parameter estimation is weighted least squares of the difference between theoretical and experimental bin frequencies, where the weights or reciprocal variances are chosen by the theory ...

متن کامل

Paper ID: ACC03-IEEE0493 Jump–Diffusion Stock-Return Model with Weighted Fitting of Time-Dependent Parameters

This paper treats jump-diffusion processes in continuous time, with emphasis on the jump-amplitude distributions, developing more appropriate models using parameter estimation for the market. The proposed method of parameter estimation is weighted least squares of the difference between theoretical and experimental bin frequencies, where the weights or reciprocal variances are chosen as by the ...

متن کامل

Weighted linear least squares estimation of diffusion MRI parameters: Strengths, limitations, and pitfalls

PURPOSE Linear least squares estimators are widely used in diffusion MRI for the estimation of diffusion parameters. Although adding proper weights is necessary to increase the precision of these linear estimators, there is no consensus on how to practically define them. In this study, the impact of the commonly used weighting strategies on the accuracy and precision of linear diffusion paramet...

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

برای دانلود 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

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2011