1) strong stationary solution
强平稳解
2) strong stationary
强平稳
1.
It is proved that these random variables are strong stationary and α- mixing random sequences, and these sequences obey the central limit theorem.
建立了“停走”生成器输出序列的概率模型 ,讨论了由这类序列构成的随机变量序列的概率分布、独立性、数学期望和方差等概率性质 ,在得到此类随机变量序列是强平稳的和 α-混合的这一结论的基础上证明了它们服从中心极限定
2.
Empirical likelihood estimator is discussed about parameter and distribution function under strong stationary m dependent samples.
在强平稳m 相依样本下讨论一般参数和分布函数的经验似然估计的求法及性质,推广了Qin and Lawless 在独立同分布情况下的结
3) strongly stationary
强平稳
1.
Linear Empirical Bayes Estimation for Strongly Stationary Φ- mixing Dependent Sequence and Its Application;
强平稳Φ－混合序列下的线性经验Bayes估计及应用
2.
In this paper,the empirical likelihood ratio confidence regions under strongly stationaryρ-mixing dependent samples are discussed,which generalizes Owen s(1988,1990)results for independent and identical distribution(i.
讨论了强平稳ρ混合样本的经验似然比置信区间,推广了Owen(1988,1990)在独立同分布情况下的结果,指出了相依情况时经验似然比置信区间的不足并进行了合理的改进。
3.
In this paper,we extend the conditionθ_0=EH(X,μ) to the equation of EH(X,θ_0,μ)=0 and,under the strongly stationary -mixing random sample,discuss empirical likelihood ratio confi- dence regions with a nuisance parameter.
本文将条件θ_0=EH(X,μ)推广到更一般的估计方程EH(X,θ_0,μ)=0,并且在样本为强平稳φ混合序列情形下讨论带有讨厌参数的经验似然比置信区域。
4) stationary solution
平稳解
1.
Existence for stationary solution to DSAR(1) model;
DSAR(1)模型平稳解的存在性
2.
Approximate stationary solution of one kind of nonlinear delay Fokker-Planck equation;
一类非线性时滞Fokker-Planck方程的近似平稳解
3.
In this thesis we study the existence of stationary solutions for stochastic partial differential equations.
本文研究了SPDE的平稳解的存在性。
5) semi-stationary solution
半平稳解
6) Strong Mean Value Solution
强平均解
补充资料：椐椐强强
1.相随貌。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
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