Keyword Index
A
  • Auxiliary Information A Dual Auxiliary Variable Approach to Finite Population Variance Estimation [Volume 25, Issue 1, 2026, Pages 1-16]
  • Average customer waiting time in the queue New Estimation for the Traffic Intensity Parameter of a Single-Server Queueing System with Finite Capacity [Volume 25, Issue 1, 2026, Pages 48-64]
B
  • Bayesian Neural Networks Bayesian Neural Networks for Nonlinear Regression: Posterior Inference, Uncertainty Quantification and Scalability [Volume 25, Issue 1, 2026, Pages 65-90]
C
  • Cumulative past extropy Testing Of Symmetry Based On Cumulative Past And Residual Extropy Of Record Values [Volume 25, Issue 1, 2026, Pages 17-36]
  • Cumulative residual extropy Testing Of Symmetry Based On Cumulative Past And Residual Extropy Of Record Values [Volume 25, Issue 1, 2026, Pages 17-36]
D
  • Difference operator A novel parametric correlation coefficient for intuitionistic fuzzy numbers [Volume 25, Issue 1, 2026, Pages 127-148]
E
  • E-Bayesian estimation New Estimation for the Traffic Intensity Parameter of a Single-Server Queueing System with Finite Capacity [Volume 25, Issue 1, 2026, Pages 48-64]
  • EE-Bayesian estimation New Estimation for the Traffic Intensity Parameter of a Single-Server Queueing System with Finite Capacity [Volume 25, Issue 1, 2026, Pages 48-64]
  • Empirical distribution function A Dual Auxiliary Variable Approach to Finite Population Variance Estimation [Volume 25, Issue 1, 2026, Pages 1-16]
  • Extreme value theory Handling non-response in the presence of extreme values [Volume 25, Issue 1, 2026, Pages 104-126]
F
  • Fuzzy number A novel parametric correlation coefficient for intuitionistic fuzzy numbers [Volume 25, Issue 1, 2026, Pages 127-148]
H
  • Hamiltonian Monte Carlo Bayesian Neural Networks for Nonlinear Regression: Posterior Inference, Uncertainty Quantification and Scalability [Volume 25, Issue 1, 2026, Pages 65-90]
I
  • Inter-arrival time Evaluation of the System Lifetime Using a New Mixed δ-Shock Model [Volume 25, Issue 1, 2026, Pages 37-47]
  • Intuitionistic fuzzy correlation A novel parametric correlation coefficient for intuitionistic fuzzy numbers [Volume 25, Issue 1, 2026, Pages 127-148]
M
  • Magnitude of shock Evaluation of the System Lifetime Using a New Mixed δ-Shock Model [Volume 25, Issue 1, 2026, Pages 37-47]
  • Mean squared error A Dual Auxiliary Variable Approach to Finite Population Variance Estimation [Volume 25, Issue 1, 2026, Pages 1-16]
  • Mixed &delta Evaluation of the System Lifetime Using a New Mixed δ-Shock Model [Volume 25, Issue 1, 2026, Pages 37-47]
  • M/M/1/K queueing model New Estimation for the Traffic Intensity Parameter of a Single-Server Queueing System with Finite Capacity [Volume 25, Issue 1, 2026, Pages 48-64]
  • Monte Carlo Simulation Handling non-response in the presence of extreme values [Volume 25, Issue 1, 2026, Pages 104-126]
  • Multi criteria A novel parametric correlation coefficient for intuitionistic fuzzy numbers [Volume 25, Issue 1, 2026, Pages 127-148]
N
  • Nonparametric test Testing Of Symmetry Based On Cumulative Past And Residual Extropy Of Record Values [Volume 25, Issue 1, 2026, Pages 17-36]
O
  • Order statistics Handling non-response in the presence of extreme values [Volume 25, Issue 1, 2026, Pages 104-126]
R
  • Relative efficiency Handling non-response in the presence of extreme values [Volume 25, Issue 1, 2026, Pages 104-126]
  • Reliability Evaluation of the System Lifetime Using a New Mixed δ-Shock Model [Volume 25, Issue 1, 2026, Pages 37-47]
S
  • Simulation A Dual Auxiliary Variable Approach to Finite Population Variance Estimation [Volume 25, Issue 1, 2026, Pages 1-16]
  • Symmetry testing Testing Of Symmetry Based On Cumulative Past And Residual Extropy Of Record Values [Volume 25, Issue 1, 2026, Pages 17-36]
T
  • Traffic intensity parameter New Estimation for the Traffic Intensity Parameter of a Single-Server Queueing System with Finite Capacity [Volume 25, Issue 1, 2026, Pages 48-64]
U
  • Uncertainty calibration Bayesian Neural Networks for Nonlinear Regression: Posterior Inference, Uncertainty Quantification and Scalability [Volume 25, Issue 1, 2026, Pages 65-90]
V
  • Variational Inference Bayesian Neural Networks for Nonlinear Regression: Posterior Inference, Uncertainty Quantification and Scalability [Volume 25, Issue 1, 2026, Pages 65-90]