Time Series of Continuous Proportions

作者: Gary K. Grunwald , Adrian E. Raftery , Peter Guttorp

DOI: 10.1111/J.2517-6161.1993.TB01470.X

关键词:

摘要: SUMMARY A vector of continuous proportions consists the some total accounted for by its constituent components. An example is world motor vehicle production Japan, USA and all other countries. We consider situation where time series data are available interest focuses on rather than actual amounts. Reasons analysing such times include estimation underlying trend, effect covariates interventions, forecasting. develop a state space model proportions. Conditionally unobserved state, observations assumed to follow Dirichlet distribution, often considered be most natural distribution simplex. The follows conjugate which introduced here. Thus model, although based does not have restrictive independence properties. Covariates, trends, seasonality interventions may incorporated in way. has worked well when applied several examples, we illustrate with components production.

参考文章(25)
Peter McCullagh, John Ashworth Nelder, Generalized Linear Models ,(1983)
Cornelis Albertus Los, Econometrics of models with evolutionary parameter structures University Microfilms International. ,(1984)
Ed McKenzie, An Autoregressive Process for Beta Random Variables Management Science. ,vol. 31, pp. 988- 997 ,(1985) , 10.1287/MNSC.31.8.988
Mike West, P. Jeff Harrison, Helio S. Migon, Dynamic Generalized Linear Models and Bayesian Forecasting Journal of the American Statistical Association. ,vol. 80, pp. 73- 83 ,(1985) , 10.1080/01621459.1985.10477131
G. E. P. Box, G. C. Tiao, Intervention Analysis with Applications to Economic and Environmental Problems Journal of the American Statistical Association. ,vol. 70, pp. 70- 79 ,(1975) , 10.1080/01621459.1975.10480264
Catherine Hurley, Andreas Buja, Analyzing high-dimensional data with motion graphics Siam Journal on Scientific and Statistical Computing. ,vol. 11, pp. 1193- 1211 ,(1990) , 10.1137/0911068
Luke Tierney, Joseph B. Kadane, Accurate Approximations for Posterior Moments and Marginal Densities Journal of the American Statistical Association. ,vol. 81, pp. 82- 86 ,(1986) , 10.1080/01621459.1986.10478240
G. C. Tiao, G. E. P. Box, Modeling Multiple Time Series with Applications Journal of the American Statistical Association. ,vol. 76, pp. 802- 816 ,(1981) , 10.1080/01621459.1981.10477728
A. C. Harvey, C. Fernandes, Time Series Models for Count or Qualitative Observations Journal of Business & Economic Statistics. ,vol. 7, pp. 407- 417 ,(1989) , 10.1080/07350015.1989.10509750