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Quantum Statistical Properties of Binomial Field Interacting with Two Entangled Atoms 被引量:1
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作者 JIAO Zhi-Yong MA Jun-Mao SHANG Yong-Tao LI Ning FU Xia 《Communications in Theoretical Physics》 SCIE CAS CSCD 2008年第10期971-973,共3页
Quantum statistical properties of the binomial field interacting with the two entangled atoms are investi-gated for the different initial conditions.It is found that the sub-Poissonian distribution and the antibunchin... Quantum statistical properties of the binomial field interacting with the two entangled atoms are investi-gated for the different initial conditions.It is found that the sub-Poissonian distribution and the antibunching effect canbe presented for the certain ranges of the involved parameters. 展开更多
关键词 sub-Poissonian distribution antibunching effect binomial field Bell state
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Constructing Even- and Odd-Negative Binomial States
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作者 FANHong-Yi LISu 《Communications in Theoretical Physics》 SCIE CAS CSCD 2005年第3期519-522,共4页
By suitably choosing the normalization factors we introduce the even- and odd-negative binomial states. In some limit cases they approach the even- and odd-coherent states, respectively. We also derive a new eigenvect... By suitably choosing the normalization factors we introduce the even- and odd-negative binomial states. In some limit cases they approach the even- and odd-coherent states, respectively. We also derive a new eigenvector equation that the negative binomial state satishes as a nonlinear coherent state. 展开更多
关键词 EVEN and odd-negative binomial states NORMALIZATION coherent states
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A TWO-STAGE ESTIMATION ALGORITHM FOR A TYPE OF CURRENT STATUS DATA
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作者 Hui ZHAO Ningning JIANG 《Journal of Systems Science & Complexity》 SCIE EI CSCD 2012年第3期556-566,共11页
Success-failure life tests are widely used in reliability engineering research to evaluate the storage life of products, where the observed data are the current status data, usually summarized as the form of "binomia... Success-failure life tests are widely used in reliability engineering research to evaluate the storage life of products, where the observed data are the current status data, usually summarized as the form of "binomial life data". For this type of data, this paper proposes a two-stage algorithm to estimate some commonly used lifetime distributions. This Mgorithm is automatic, intuitively appealing and simple to implement. Simulation studies show that compared with some existing methods, the proposed algorithm is more stable and efficient, especially in small sample situations, and it can also be extended to deM with some complicated lifetime distributions. 展开更多
关键词 Current status data nonparametric maximum likelihood estimation success-failure lifetest.
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