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 2017 Vol.33 Issue.2,Published 2017-06-05 article
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 111 Portfolio Model of Risk Management with Second Order Stochastic Dominant Constraints and Transaction Costs YANG Liu, SHEN FeiFei In this paper, we introduced a transaction costs function and established a portfolio model of risk management with second stochastic dominance constraints. This model does not need to make any assumptions about the utility function of the investors and the distribution of the risk assets income, and it can ensure that the choices of the risk-averse investor can be randomly better than a reference value, so it can avoid the high risk investment. We provide a smoothing penalty sample average approximation method for solving this optimization problem. We prove that the smoothing penalty problem is equivalent to the original problem. Numerical results prove that the model and the method are efficient. 2017 Vol. 33 (2): 111-124 [Abstract] ( 134 ) [HTML 1KB] [ PDF 697KB] ( 558 )
 125 A Model about Insurer with Dividend and Irregularly Checking Surplus JIN Fang, MO XiaoYun, YANG XiangQun A Markov observation model with dividend is defined and the interpretation of the practical significance is given. We try to use an irreducible and homogeneous discrete-time Markov chain to modulate the inter-observation times and embed a dividend strategy. In the Markov observation model with dividend, a system of liner equations for the expected discounted value of dividends until ruin time is derived. Moreover, an explicit expression is obtained and proved. Finally, some interesting properties are illustrated by numerical analysis and by comparing with the complete compound binomial model with dividend. 2017 Vol. 33 (2): 125-138 [Abstract] ( 105 ) [HTML 1KB] [ PDF 569KB] ( 544 )
 139 Complete Moment Convergence for Weighted Sums of $\fn_jvn \100dpi \inline \varphi$-Mixing Random Variable Series -Mixing Random Variable Series[J]. CHINESE JOURNAL OF APPLIED PROBABILITY AND STATISTICS, 2017,34(2): 139-150>')" href="#"> CHEN Fen In this paper, the complete moment convergence for weighted sums of $\fn_jvn \100dpi \inline \varphi$-mixing random variable series are investigated. By using Rosenthal type inequality, we obtain complete moment convergence theorems for weighted sums of $\fn_jvn \100dpi \inline \varphi$-mixing random variable series, which generalize and improve the corresponding results. 2017 Vol. 33 (2): 139-150 [Abstract] ( 161 ) [HTML 1KB] [ PDF 607KB] ( 589 )
 151 Optimization of Investment-Dividend Problem in a Diffusion Model with Transaction Costs and Investment Constraints LI ManMan, LIU ZaiMing This paper investigates the investment-dividend optimization problem for a corporation with transaction costs and investment constraints. The main feature is that we assume general constraints on investments including the special case of short-sale and borrowing constraints. This results in a regular-impulse stochastic control problem. The nontrivial case is that the investment can't meet the loss of wealth due to discounting. In this case, delicate analysis is carried out on QVI w.r.t. three possible situations, leading to an explicit construction of the value functions together with the optimal policies. We also give explicit conclusion of the trivial case at last. 2017 Vol. 33 (2): 151-169 [Abstract] ( 120 ) [HTML 1KB] [ PDF 530KB] ( 514 )
 170 Estimation in Functional Partial Linear Composite Quantile Regression Model YU Ping, ZHANG ZhongZhan, DU Jiang This paper studies estimation in functional partial linear composite quantile regression model in which the dependent variable is related to both a function-valued random variable in linear form and a real-valued random variable in nonparametric form. The functional principal component analysis and regression splines are employed to estimate the slope function and the nonparametric function respectively, and the convergence rates of the estimators are obtained under some regularity conditions. Simulation studies and a real data example are presented for illustration of the performance of the proposed estimators. 2017 Vol. 33 (2): 170-190 [Abstract] ( 151 ) [HTML 1KB] [ PDF 1643KB] ( 747 )
 191 mixed exponential distribution (MED); hybrid censoring; maximum likelihood estimation (MLE); EM algorithm TIAN YuZhu, HAN XueFeng, TIAN MaoZai The hybrid censoring scheme is a mixture of type-I and type-II censoring schemes. It is a popular censoring scheme in the literature of life data analysis. Mixed exponential distribution (MED) models is a class of favorable models in reliability statistics. Nevertheless, there is no much discussion to focus on parameters estimation for MED models with hybrid censored samples. We will address this problem in this paper. The EM (Expectation-Maximization) algorithm is employed to derive the closed form of the maximum likelihood estimators (MLEs). Finally, Monte Carlo simulations and a real-world data analysis are conducted to illustrate the proposed method. 2017 Vol. 33 (2): 191-202 [Abstract] ( 157 ) [HTML 1KB] [ PDF 468KB] ( 674 )
 203 Asymptotically D-Optimal Design of Mixture Experiment with Complex Constraints LI GuangHui, ZHANG ChongQi It is difficult to get an accurate optimum design when the experimental design area is very irregular under complex constraints. This paper constructs a random search algorithm for mixture experiments designed (MDRS). Firstly, generating an initial points set in areas with complex constraints by the Monte-Carlo method, then use MDRS algorithm iterative to approximate optimum set. By way of example verification, this method is effective. It can be used as a standard measure of other designs, that is the only effective when given superior to other designs approximate optimal solution. 2017 Vol. 33 (2): 203-220 [Abstract] ( 108 ) [HTML 1KB] [ PDF 1057KB] ( 597 )

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