| contributor author | Katz, Richard W. | |
| contributor author | Skaggs, Richard H. | |
| date accessioned | 2017-06-09T16:03:17Z | |
| date available | 2017-06-09T16:03:17Z | |
| date copyright | 1981/03/01 | |
| date issued | 1981 | |
| identifier issn | 0027-0644 | |
| identifier other | ams-59829.pdf | |
| identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4200430 | |
| description abstract | Statistical problems that may be encountered in fitting autoregressive-moving average (ARMA) processes to meteorological time series are described. Techniques that lead to an increased likelihood of choosing the most appropriate ARMA process to model the data at hand are emphasized. One specific meteorological application of ARMA processes, the modeling of Palmer Drought Index time series for climatic divisions of the United States is considered in detail. It is shown that low-order purely autoregressive processes adequately fit these data. | |
| publisher | American Meteorological Society | |
| title | On the Use of Autoregressive-Moving Average Processes to Model Meteorological Time Series | |
| type | Journal Paper | |
| journal volume | 109 | |
| journal issue | 3 | |
| journal title | Monthly Weather Review | |
| identifier doi | 10.1175/1520-0493(1981)109<0479:OTUOAM>2.0.CO;2 | |
| journal fristpage | 479 | |
| journal lastpage | 484 | |
| tree | Monthly Weather Review:;1981:;volume( 109 ):;issue: 003 | |
| contenttype | Fulltext | |