This paper discussed Bayesian variable selection methods for models from split-plot mixture designs using samples Metropolis-Hastings within the Gibbs sampling algorithm. is easy to implement due improvement in computing via MCMC sampling. We described methodology by introducing framework, and explaining Markov Chain Monte Carlo (MCMC) The was used draw dependent full conditional distributions ...

The linear adiabatic pulsation-periods of Mira variable stars have been derived. Approximately 2701[1]models were calculated for M = 0.7 MΘ to 2 MΘ stars with radii from 180 RΘ to 340 RΘ and luminosities from 2800 LΘ to 10,000 LΘ. The chemical composition of all models is (X,Z) = (0.7,0.02). From the result of this study, linear relations on Luminosity-Period-Mass relationship and luminosity-pe...

The Continuous-Variable (CV) quantum state of light allows for the teleportation a Discrete-Variable (DV) photonic qubit. Such an operation is useful in realm hybrid networks. However, it known that DV qubit via Gaussian CV resource channel severely limited under loss, with fidelity beyond classical limit unattainable losses exceeding small threshold 0.5 dB. In this work, we present new non-det...