Statistical Methodological Issues in Studies of Air Pollution and Respiratory Disease.
Year of publication: |
2001-09
|
---|---|
Authors: | Hyndman, R.J. ; Erbas, B. |
Institutions: | Department of Econometrics and Business Statistics, Monash Business School |
Subject: | Air pollution | Autocorrelation | Generalized additive models | Seasonal adjustment | Respiratory disease |
-
Effects of Exposure Time and Ozone on Respiratory Diseases and Asthma
Vahedi, Sajad, (2020)
-
Modelling seasonalities in nonlinear inflation rates using SEASETARs
Gooijer, Jan G. de, (2000)
-
da Silva Lopes, Artur C.B, (1998)
- More ...
-
Mixed Model-Based Hazard Estimation.
Cai, T., (2000)
-
A State Space Framework for Automatic Forecasting Using Exponential Smoothing Methods.
Hyndman, R.J., (2000)
-
Empirical Information Criteria for Time Series Forecasting Model Selection
Billah, Md B., (2003)
- More ...