Time Series Models for Business and Economic Forecasting (Themes in Modern Econometrics)
Editorial Reviews
Review
'Franses reviews the more recent developments in modeling time series to focus on generating ex ante forecasts: seasonal unit roots, period models, aberrant observations, and common features. For each method, intuitive motivation and practical considerations are discussed in detail, making the book very readable ... should be beneficial for students and instructors of applications-oriented courses as well as for practitioners who wish to obtain a first, but not too technical, impression of time series forecasting using modern , recently developed methods.' Journal of the American Statistical Association
Book Description
Time Series Models for Business and Economic Forecasting is the most up-to-date and accessible guide to one of the fastest growing areas in business and economic analysis. The author is regarded as one of the most accomplished econometricians in Europe and this book is based on his highly successful lecture program for multidisciplinary, graduate and upper level undergraduate students. Early chapters of the book focus on the typical features of time series data in business and economics. Later chapters are concerned with the discussion of some important concepts in time series analysis, the techniques that can be readily applied in practice, different modeling methods and model structures, multivariate time, and the common aspects across time series.
Time Series Models for Business and Economic Forecasting (Themes in Modern Econometrics),Philip Hans Franses,Cambridge University Press,0521586410,Business & Economics,Business / Economics / Finance,Business forecasting,Business/Economics,Econometrics,Economic forecasting,Economics - General,Forecasting,Social sciences,Statistical methods,Time-series analysis,Business & Economics / Econometrics
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