Tables index

From

Analysis of Mixed Discrete and Heavy Tailed Longitudinal Data with Non-random Missingness Using Stochastic Variants of the EM Algorithm

Abdallah S. A. Yaseen

American Journal of Applied Mathematics and Statistics. 2022, 10(1), 28-38 doi:10.12691/ajams-10-1-5
  • Table 1. Parameter description
  • Table 2. Parameter estimates, relative bias and mean square error of the SEM and PFI estimates, degree of freedom ν is unknown
  • Table 3. Parameter estimates, relative bias and mean square error of the SEM and PFI estimates, degree of freedom ν is known
  • Table 4. Parameter estimates, relative bias and mean square error of the SEM and PFI estimates, degree of freedom ν is fixed at 5, true distribution is multivariate normal distribution
  • Table 5. Parameter estimates, relative bias and mean square error of the SEM and PFI estimates, degree of freedom ν is fixed at 15, true distribution is multivariate normal distribution
  • Table 6. Parameter estimates, relative bias and mean square error of the SEM and PFI estimates, true distribution is multivariate t distribution
  • Table 7. Parameter estimates of the ICDB data and its significance
  • Table A-1. Parameter estimates, relative bias and mean square error of the SEM and PFI estimates, Yaseen and Gad (2019) results
  • Table A-2. Parameter estimates of the ICDB data and its significance under normality assumption, Yaseen and Gad (2019) results
  • Table A-3. The definition of the covariates used in ICDB data