Four general multivariate stationary extremal Markovian processes

被引:1
|
作者
Yeh, Hsiaw-Chan [1 ]
机构
[1] Natl Taiwan Univ, Dept Finance, Coll Management, Rm 1002,85 Roosevelt Rd,Sec 4, Taipei 106, Taiwan
关键词
Extremal Markovian process; Max-AR(1); MaxI-AR(1); Min-AR(1); MinI-AR(1); Stationarity; Semi-logistic processes; MSL(1)-AR(1); MSL(2)-AR(1); Pareto and semi-Pareto processes; LOGISTIC PROCESSES; PARETO PROCESSES; DISTRIBUTIONS;
D O I
10.1080/03610918.2014.908216
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
Two general multivariate stationary Markovian process with maximization structure (denoted by Max-AR(1) and MaxI-AR(1)) are developed respectively. Max-AR(1) is a subclass of MaxI-AR(1). The characterization of the Max-AR(1) and MaxI-AR(1) to be stationary is studied. Some properties of the two maximization processes are derived. Two more related general multivariate stochastic Markovian process with minification structure are analogously constructed (denoted by Min-AR(1) and MinI-AR(1)). Some well known maximization and minification processes are special cases of these four extermal Markovian processes. Two of them are simulated and some point estimations are provided as an illustration of the wide application of these four processes.
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页码:16 / 37
页数:22
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