Modelling multinational telecommunications demand with limited data

[1]  Nigel Meade,et al.  Evidence for the selection of forecasting methods , 2000 .

[2]  Nigel Meade,et al.  Technological Forecasting-Model Selection, Model Stability, and Combining Models , 1998 .

[3]  Jaishankar Ganesh,et al.  Cross‐National Diffusion Research: What Do We Know and How Certain Are We? , 1998 .

[4]  M. Sarvary,et al.  Staged estimation of international diffusion models - An application to global cellular telephone adoption , 1998 .

[5]  G. Lilien,et al.  Bias and Systematic Change in the Parameter Estimates of Macro-Level Diffusion Models , 1997 .

[6]  Jaishankar Ganesh,et al.  Learning effect in multinational diffusion of consumer durables: An exploratory investigation , 1997 .

[7]  Jaishankar Ganesh,et al.  Capturing the cross-national learning effect: An analysis of an industrial technology diffusion , 1996 .

[8]  Duk Bin Jun,et al.  Growth-cycle decomposition diffusion model , 1996 .

[9]  Nigel Meade,et al.  Forecasting the Development of the Market for Business Telephones in the UK , 1996 .

[10]  D. McLean-Lamberton,et al.  Beyond Competition: The Future of Telecommunications , 1995 .

[11]  Nigel Meade,et al.  Forecasting with growth curves: An empirical comparison , 1995 .

[12]  Vijay Mahajan,et al.  Innovation diffusion in a borderless global market: Will the 1992 unification of the European Community accelerate diffusion of new ideas, products, and technologies? , 1994 .

[13]  Wayne S. DeSarbo,et al.  A New Approach to Country Segmentation Utilizing Multinational Diffusion Patterns , 1993 .

[14]  Philip M. Parker,et al.  Choosing among diffusion models: Some empirical evidence , 1993 .

[15]  Jack C. Lee,et al.  Technological forecasting with nonlinear models , 1992 .

[16]  D. Jain,et al.  Cross-National Analysis of Diffusion of Consumer Durable Goods in Pacific Rim Countries , 1991 .

[17]  V. Mahajan,et al.  Innovation Diffusion in the Presence of Supply Restrictions , 1991 .

[18]  Donald R. Lehmann,et al.  A Meta-Analysis of Applications of Diffusion Models , 1990 .

[19]  Vijay Mahajan,et al.  New Product Diffusion Models in Marketing: A Review and Directions for Research: , 1990 .

[20]  Nigel Meade,et al.  Technological substitution: A framework of stochastic models , 1989 .

[21]  T. S. Robertson,et al.  Modeling Multinational Diffusion Patterns: An Efficient Methodology , 1989 .

[22]  J. Keith Ord,et al.  Model selection and estimation for technological growth curves , 1989 .

[23]  Denzil G. Fiebig,et al.  A flexible logistic growth model with applications in telecommunications , 1988 .

[24]  Vijay Mahajan,et al.  Maximum Likelihood Estimation for an Innovation Diffusion Model of New Product Acceptance , 1982 .

[25]  Dennis Oberhelman,et al.  Response predictions in regressions on panel data , 1982 .

[26]  R. Heeler,et al.  Problems in Predicting New Product Growth for Consumer Durables , 1980 .

[27]  F. Bass A new product growth model for consumer durables , 1976 .

[28]  Joseph Paul Martino,et al.  Technological Forecasting for Decisionmaking , 1975 .

[29]  Wellesley J. Dodds,et al.  An Application of the Bass Model in Long-Term New Product Forecasting , 1973 .

[30]  D. Lindley,et al.  Bayes Estimates for the Linear Model , 1972 .

[31]  I. C. Hendry,et al.  The three-parameter approach to long range forecasting , 1972 .

[32]  P. J Harrison,et al.  The use of trend curves as an aid to market forecasting , 1972 .

[33]  R. Chaddha,et al.  A "Generalization" of the Logistic Curves and Long-Range Forecasts (1966-1991) of Residence Telephones , 1971 .

[34]  P. Swamy Efficient Inference in a Random Coefficient Regression Model , 1970 .