12 research outputs found

    Generic Fock Quantum Markov Semigroups with Instantaneous States

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    We construct a generic quantum Markov semigroup with instantaneous states exploiting the invariance of the diagonal algebra and the explicit form of the action of the pre-generator on off-diagonal matrix elements. Our semigroup acts on a unital C*-algebra and is strongly continuous on this algebra (Feller property). We discuss the generic hydrogenic atoms as an example

    Messung des Richtungshörens einseitig ertaubter CI-Träger:innen mit dem ERKI-Setup

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    Retinoblastome regressif bilateral. Etude clinique et genetique. A propos d'un cas. [Regressive bilateral retinoblastoma. Clinical and genetic study. Apropos of a case]

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    The authors report the observation of a 35-year-old patient, mother of 5 children 4 of whom are carriers of bilateral retinoblastomas. Two of these children presented lesions suggestive of retinoma retinoblastoma association. The patient had peripheral retinal lesions evoking the diagnosis of regressive bilateral retinoblastoma. At present, the term retinoma or retinocytoma seems to be more adequate. The genetic study of this family was done with D esterase and DNA molecular biology

    Classical and Bayesian Inference for the Kavya–Manoharan Generalized Exponential Distribution under Generalized Progressively Hybrid Censored Data

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    This manuscript focuses on the statistical inference of the Kavya–Manoharan generalized exponential distribution under the generalized type-I progressive hybrid censoring sample (GTI-PHCS). Different classical approaches of estimation, such as maximum likelihood, the maximum product of spacing, least squares (LS), weighted LS, and percentiles under GTI-PHCS, are investigated. Based on the squared error and linear exponential loss functions, the Bayes estimates for the unknown parameters utilizing separate gamma priors under GTI-PHCS have been derived. Point and interval estimates of unknown parameters are developed. We carry out a simulation using the Monte Carlo algorithm to show the performance of the inferential procedures. Finally, real-world data collection is examined for illustration purposes
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