J. Japan Statist. Soc., Vol. 36 (No. 1), pp. 1-15, 2006
Takayuki Sakaguchi and Shigeru Mase
Abstract. We discuss the prediction of the sample variance of marks of a marked spatial point process on a continuous space by the threshold method. The threshold method is a statistical prediction using only the number of points with marks exceeding a given threshold value. Mase (1996) considered the method in the framework of spatial point processes on a discrete space and Sakaguchi and Mase (2003) extended the results of Mase (1996) to a continuous space. They considered the prediction of the sum of marks. In the present paper, it is shown that the sample variance of marks can be also predicted well if a point process is non-ergodic and marks satisfy some mixing-type condition. A simulation study is given to confirm the theoretical result.
Key words and phrases: Marked spatial point process, mean square error, mixing condition, non-ergodicity, threshold method.