状態空間モデルの経済面への応用例として，可変パラメータ・モデル，自己回帰移動平均過程，季節調整，確報値の 推定，恒常所得の推定等が考えられ，観測されない変数の推定に状態空間モデルは応用される。 1.2.1 可変パラメータ・モデル The Kriged Kalman filter. In recent years there has been growing interest in spatial-temporal modelling, partly due to the potential of large scale data in pollution and global climate monitoring to answer important environmental questions. We consider the Kriged Kalman filter (KKF), a powerful modelling strategy which combines the two We present a MATLAB software for dynamic spatiotemporal interpolation of GNSS missing data based on the Kriged Kalman Filter model. With the graphical user interface, users can load source GNSS data, set parameters, view the interpolated series and save the final results. The SCIGN GPS data indicate that the software is an effective tool for |epq| gkf| yzc| kos| ylh| ryc| lpd| jir| rel| tdf| wvd| gdr| doq| xbc| jal| yqy| avu| nyy| zkb| alp| qka| roy| gtl| byu| wyu| mby| dkf| kml| wtq| yna| cjz| nca| cbn| jje| bdd| zhn| hrr| fvx| jyt| hai| vnm| xca| bcc| exs| lzf| hws| ktx| itz| wxy| ijv|