In order to derive the formulas for the bit error rate (BER) of the THCLs employing binary phase-shift keying (BPSK) modulation and various relay processing schemes, we introduce the Nakagami and Gamma approximation for finding the distribution functions of various variables encountered.
For each injection site, models of the number of cells from each source area as a function of various explanatory variables were fitted with a generalized linear model (McCullagh and Nelder 1989) with a negative binomial family.
The ZINB regression expresses the count outcome y as a function of various explanatory variables x, including demographic and socioeconomic characteristics, health conditions and insurance coverage status as the following: φ y i, θ| X) = φ y i, B, γ| Z i, Dual_ Eligible i ) (11) where φ is a negative binomial probability density function.
Table 2 shows the median survival times as a function of various clinical and demographic variables.
Various direct and inverse scattering problems require finding global minima of functions of several variables.
We applied each estimation approach to predict each of the three output measures of life expectancy (i.e., total, at age 60 for males, and at age 60 for females) as a function of various permutations of the input variables described above.
Another theorem he helped to establish shows that analytic functions of several variables can be applied in the general setting of Banach algebras.
Surfaces or functions of several variables may be involved.
The models could predict cell growth, DCW, DO level, oxygen uptake rate (OUR), CO2 evolution rate (CER), and variables that were also measured during the fermentation as a function of various medium and process conditions.
