Araştırma Makalesi
Yıl 2012,
Cilt: 25 Sayı: 2, 409 - 416, 17.04.2012
Öz
Kaynakça
- Ansley, C.F., Newbold, P., On the finite sample distribution of residual autocorrelations in autoregressive moving average models. Biometrika, 66:547-553 (1979).
- Akdi, Y., , Time Series Analysis (Unit Roots and Cointegration), Bıçaklar Bookstore, Ankara, 1-18 (2003).
- Arranz, M.A., Portmanteau Test Statistics in Time Series: Time-Oriented Language, 25-32 (2005) .
- Battaglia, F., “Approximate power of portmanteau tests for time series”, Statistics and Probability Letters, 9: 341 (1990).
- Box, G.E.P., Jenkins, G.M and Reinsel, G.C., Time Series analysis: Forecasting and a Control , Prentice Hall: New Jersey, 7-88, 224-307 (1994).
- Brockwell, P.J., Davis, R.A., Introduction to Time Series and Forecasting. Sec ond ed. Springer, NewYork (2002).
- Davies, N., Triggs, C. M. And :Newbold, P., “Significance levels of the Box-Pierce “Portmanteau statistic in finite samples”, Biometrika, 64: 517-522 (1977).
- Kasap, R., An analysis of the Istanbul Stock Exchange (ISE) national-100 index: a statistical approach. ISE Review, 6:27-33 (1998).
- Ljung, G.M. and Box, G.E.P., On a measure of lack of fit in time series models. Biometrika, 65: 297-303 (1978).
- Mauricio, J.A., Computing and Using Residuals in Time Series Models, Computational Statistics & Data Analysis, 52, 3:1746 – 1763 (2008).
- Unsal, M.G., Kasap, R., Analysis Of The Matrices Used For Computing Of Residuals Types For ARMA(1,1) Model, 19. Statistics Research Symposium, TÜİK, Ankara (2010).
- Wei, W.W.S., Time Series Analysis: Univariate and Multivariate Methods, Addison-Wesley Publishing Company, Inc.: UK, 32-64, 135-156 (1990).
Yıl 2012,
Cilt: 25 Sayı: 2, 409 - 416, 17.04.2012
Öz
Residual types in time series has not been investigated throughly in literature. This study aims to provide practical applications of residual types. In this study, firstly, basic information about different types of residuals was given and some features of the residuals were investigated with numerical applications. Then a simulation study was conducted to show differences in decisions when different residual types were considered in diagnostic checking.
Anahtar Kelimeler
Kaynakça
- Ansley, C.F., Newbold, P., On the finite sample distribution of residual autocorrelations in autoregressive moving average models. Biometrika, 66:547-553 (1979).
- Akdi, Y., , Time Series Analysis (Unit Roots and Cointegration), Bıçaklar Bookstore, Ankara, 1-18 (2003).
- Arranz, M.A., Portmanteau Test Statistics in Time Series: Time-Oriented Language, 25-32 (2005) .
- Battaglia, F., “Approximate power of portmanteau tests for time series”, Statistics and Probability Letters, 9: 341 (1990).
- Box, G.E.P., Jenkins, G.M and Reinsel, G.C., Time Series analysis: Forecasting and a Control , Prentice Hall: New Jersey, 7-88, 224-307 (1994).
- Brockwell, P.J., Davis, R.A., Introduction to Time Series and Forecasting. Sec ond ed. Springer, NewYork (2002).
- Davies, N., Triggs, C. M. And :Newbold, P., “Significance levels of the Box-Pierce “Portmanteau statistic in finite samples”, Biometrika, 64: 517-522 (1977).
- Kasap, R., An analysis of the Istanbul Stock Exchange (ISE) national-100 index: a statistical approach. ISE Review, 6:27-33 (1998).
- Ljung, G.M. and Box, G.E.P., On a measure of lack of fit in time series models. Biometrika, 65: 297-303 (1978).
- Mauricio, J.A., Computing and Using Residuals in Time Series Models, Computational Statistics & Data Analysis, 52, 3:1746 – 1763 (2008).
- Unsal, M.G., Kasap, R., Analysis Of The Matrices Used For Computing Of Residuals Types For ARMA(1,1) Model, 19. Statistics Research Symposium, TÜİK, Ankara (2010).
- Wei, W.W.S., Time Series Analysis: Univariate and Multivariate Methods, Addison-Wesley Publishing Company, Inc.: UK, 32-64, 135-156 (1990).
Toplam 12 adet kaynakça vardır.
Ayrıntılar
| Birincil Dil | İngilizce |
|---|---|
| Konular | Mühendislik |
| Bölüm | Statistics |
| Yazarlar | |
| Yayımlanma Tarihi | 17 Nisan 2012 |
| Yayımlandığı Sayı | Yıl 2012 Cilt: 25 Sayı: 2 |