Andishe_ye Amari

Andishe_ye Amari

Keyword Index
A
  • Absolutely continuous Exploration of singular continuous distributions and convex linear combinations of different distributions [Volume 26, Issue 1, 2021, Pages 97-102]
B
  • Behcet’s disease Application of multifactor dimensionality reduction (MDR) algorithm in detecting the n-locus models related to Behcet’s disease [Volume 26, Issue 1, 2021, Pages 89-96]
  • Big Data Using Big-Data and Modeling Real-World Phenomena in Statistics Education [Volume 26, Issue 1, 2021, Pages 25-35]
  • Bimodal distributions Regression Models for Analyzing of Bimodal and Skewed Data [Volume 26, Issue 2, 2021, Pages 89-103]
C
  • Cancer data Sensitivity Analysis for Lifetime Responses Using Log-Beta Weibull Distribution [Volume 26, Issue 1, 2021, Pages 115-123]
  • Chi- and Kendall plot Analysis of stock data based on copula function [Volume 26, Issue 1, 2021, Pages 139-152]
  • Classifcation of output ensitivity analysis of input variables in generalized linear models [Volume 26, Issue 2, 2021, Pages 117-126]
  • Closed Skew Gaussian Random Field Hamiltonian Monte Carlo Methods for Analysing Skew GLM models [Volume 26, Issue 1, 2021, Pages 37-46]
  • Competing risks Aview on latent class models for joint modeling of longitudinal measurements and survival data [Volume 26, Issue 1, 2021, Pages 71-87]
  • Contour set Exploration of singular continuous distributions and convex linear combinations of different distributions [Volume 26, Issue 1, 2021, Pages 97-102]
  • Copula Jointly dependent fuzzy random variables based on α-pessimistic [Volume 26, Issue 2, 2021, Pages 81-87]
  • Copula function Analysis of stock data based on copula function [Volume 26, Issue 1, 2021, Pages 139-152]
  • COVID-19 Analysis of Covid-19 epidemic using percolation theory [Volume 26, Issue 2, 2021, Pages 53-65]
  • COVID-19 Forecasting the novel coronavirus COVID-19 [Volume 26, Issue 2, 2021]
  • Cubic transmuted Gumbel distribution Cubic Transmuted Gumbel Distribution Based on Cubic Ranking Transformation Map: Inference and it’s Application [Volume 26, Issue 2, 2021]
D
  • Decision tree Comparison of logistic regression with some machine learning methods in classifying data [Volume 26, Issue 1, 2021, Pages 47-59]
E
  • Engineering systems Estimation of the Stress Strength Parameter in the Generalized Lambda Distribution [Volume 26, Issue 1, 2021, Pages 103-114]
  • Ensemble Learning Comparison of logistic regression with some machine learning methods in classifying data [Volume 26, Issue 1, 2021, Pages 47-59]
  • Entropy Estimation of Logistic Regression Model Parameters Using Generalized Maximum Entropy [Volume 26, Issue 2, 2021, Pages 1-8]
  • Epidemic Analysis of Covid-19 epidemic using percolation theory [Volume 26, Issue 2, 2021, Pages 53-65]
  • Exponential Distribution Joint marginal densities of order statistics: simple proof and some useful identities [Volume 26, Issue 2, 2021, Pages 33-41]
  • Exponential smoothing Forecasting the novel coronavirus COVID-19 [Volume 26, Issue 2, 2021]
F
G
  • Gene-gen interaction Application of multifactor dimensionality reduction (MDR) algorithm in detecting the n-locus models related to Behcet’s disease [Volume 26, Issue 1, 2021, Pages 89-96]
  • Generalized Distance Application of Optimal Spatial Stratification in Household Income and Expenditure Survey to Provide Estimates by Spatial Design-Based Sampling [Volume 26, Issue 2, 2021, Pages 43-52]
  • Generalized lambda distribution Estimation of the Stress Strength Parameter in the Generalized Lambda Distribution [Volume 26, Issue 1, 2021, Pages 103-114]
  • Generalized Maximum Entropy Estimation of Logistic Regression Model Parameters Using Generalized Maximum Entropy [Volume 26, Issue 2, 2021, Pages 1-8]
  • Gibbs Sampler Bayesian profile monitoring in presence of latent variable: darts problem [Volume 26, Issue 1, 2021, Pages 125-137]
  • Globalsensitivity analysis ensitivity analysis of input variables in generalized linear models [Volume 26, Issue 2, 2021, Pages 117-126]
H
  • Hamiltonian Monte Carlo Algorithm Hamiltonian Monte Carlo Methods for Analysing Skew GLM models [Volume 26, Issue 1, 2021, Pages 37-46]
  • Household Expenditure and Income Survey Application of Optimal Spatial Stratification in Household Income and Expenditure Survey to Provide Estimates by Spatial Design-Based Sampling [Volume 26, Issue 2, 2021, Pages 43-52]
L
  • Latent class model Aview on latent class models for joint modeling of longitudinal measurements and survival data [Volume 26, Issue 1, 2021, Pages 71-87]
  • Least Squares Influential points Detection Methods for the Least Squares Method [Volume 26, Issue 1, 2021, Pages 1-24]
  • Leverage point Influential points Detection Methods for the Least Squares Method [Volume 26, Issue 1, 2021, Pages 1-24]
  • Likelihood function Cubic Transmuted Gumbel Distribution Based on Cubic Ranking Transformation Map: Inference and it’s Application [Volume 26, Issue 2, 2021]
  • Location and scale parameters Estimation of the Stress Strength Parameter in the Generalized Lambda Distribution [Volume 26, Issue 1, 2021, Pages 103-114]
  • Log-Beta WeibullRegression Sensitivity Analysis for Lifetime Responses Using Log-Beta Weibull Distribution [Volume 26, Issue 1, 2021, Pages 115-123]
  • Logistic regression Estimation of Logistic Regression Model Parameters Using Generalized Maximum Entropy [Volume 26, Issue 2, 2021, Pages 1-8]
  • Logit Estimation of Logistic Regression Model Parameters Using Generalized Maximum Entropy [Volume 26, Issue 2, 2021, Pages 1-8]
M
  • Machine Learning Support Vector Machines Regression Model and Comparison with Semi-parametric Regression [Volume 26, Issue 2, 2021, Pages 21-32]
  • Maximum Likelihood Estimation of Logistic Regression Model Parameters Using Generalized Maximum Entropy [Volume 26, Issue 2, 2021, Pages 1-8]
  • Maximum likelihood estimation Cubic Transmuted Gumbel Distribution Based on Cubic Ranking Transformation Map: Inference and it’s Application [Volume 26, Issue 2, 2021]
  • MCMC Bayesian profile monitoring in presence of latent variable: darts problem [Volume 26, Issue 1, 2021, Pages 125-137]
  • Minkowski distance sensitivity analysis ensitivity analysis of input variables in generalized linear models [Volume 26, Issue 2, 2021, Pages 117-126]
  • Mixture of distributions Regression Models for Analyzing of Bimodal and Skewed Data [Volume 26, Issue 2, 2021, Pages 89-103]
  • Modeling with Using New Technologies Using Big-Data and Modeling Real-World Phenomena in Statistics Education [Volume 26, Issue 1, 2021, Pages 25-35]
  • Moment gener ating function Cubic Transmuted Gumbel Distribution Based on Cubic Ranking Transformation Map: Inference and it’s Application [Volume 26, Issue 2, 2021]
  • Multifactor dimensionality reduction algorithm Application of multifactor dimensionality reduction (MDR) algorithm in detecting the n-locus models related to Behcet’s disease [Volume 26, Issue 1, 2021, Pages 89-96]
O
  • Objective approach Forecasting the novel coronavirus COVID-19 [Volume 26, Issue 2, 2021]
  • Order statistics Joint marginal densities of order statistics: simple proof and some useful identities [Volume 26, Issue 2, 2021, Pages 33-41]
  • Outlier Detection Influential points Detection Methods for the Least Squares Method [Volume 26, Issue 1, 2021, Pages 1-24]
P
  • Percolation Analysis of Covid-19 epidemic using percolation theory [Volume 26, Issue 2, 2021, Pages 53-65]
  • Power Distribution Joint marginal densities of order statistics: simple proof and some useful identities [Volume 26, Issue 2, 2021, Pages 33-41]
R
  • Random Forest and Supervised Learning Comparison of logistic regression with some machine learning methods in classifying data [Volume 26, Issue 1, 2021, Pages 47-59]
  • Random vector Exploration of singular continuous distributions and convex linear combinations of different distributions [Volume 26, Issue 1, 2021, Pages 97-102]
  • Regression Regression Models for Analyzing of Bimodal and Skewed Data [Volume 26, Issue 2, 2021, Pages 89-103]
  • Ridge least trimmed squares method Application of stochastic restricted least trimmed squares ridge regression in water consumption modeling [Volume 26, Issue 2, 2021, Pages 9-19]
S
  • School Mathematics Curriculum Using Big-Data and Modeling Real-World Phenomena in Statistics Education [Volume 26, Issue 1, 2021, Pages 25-35]
  • Semi-parametric Regression Model Support Vector Machines Regression Model and Comparison with Semi-parametric Regression [Volume 26, Issue 2, 2021, Pages 21-32]
  • SensitivityAnalysis Sensitivity Analysis for Lifetime Responses Using Log-Beta Weibull Distribution [Volume 26, Issue 1, 2021, Pages 115-123]
  • Site and bond percolation Introduction to site and bond percolation on the lattice Z2 [Volume 26, Issue 1, 2021, Pages 61-70]
  • Spatial Generalized Linear Mixed Model Hamiltonian Monte Carlo Methods for Analysing Skew GLM models [Volume 26, Issue 1, 2021, Pages 37-46]
  • Spatial Stratification Application of Optimal Spatial Stratification in Household Income and Expenditure Survey to Provide Estimates by Spatial Design-Based Sampling [Volume 26, Issue 2, 2021, Pages 43-52]
  • Statistics Education Challenges Using Big-Data and Modeling Real-World Phenomena in Statistics Education [Volume 26, Issue 1, 2021, Pages 25-35]
  • Stochastic linear restriction Application of stochastic restricted least trimmed squares ridge regression in water consumption modeling [Volume 26, Issue 2, 2021, Pages 9-19]
  • Stock Forecasting Support Vector Machines Regression Model and Comparison with Semi-parametric Regression [Volume 26, Issue 2, 2021, Pages 21-32]
  • Stress strength pa rameter Estimation of the Stress Strength Parameter in the Generalized Lambda Distribution [Volume 26, Issue 1, 2021, Pages 103-114]
  • Support Vector Regression Model Support Vector Machines Regression Model and Comparison with Semi-parametric Regression [Volume 26, Issue 2, 2021, Pages 21-32]
  • Survival model Aview on latent class models for joint modeling of longitudinal measurements and survival data [Volume 26, Issue 1, 2021, Pages 71-87]
  • Symmetric Regression Models for Analyzing of Bimodal and Skewed Data [Volume 26, Issue 2, 2021, Pages 89-103]
T
  • Tail and directional dependency Analysis of stock data based on copula function [Volume 26, Issue 1, 2021, Pages 139-152]
  • The EMAlgorithm Aview on latent class models for joint modeling of longitudinal measurements and survival data [Volume 26, Issue 1, 2021, Pages 71-87]
V
  • Variability function Jointly dependent fuzzy random variables based on α-pessimistic [Volume 26, Issue 2, 2021, Pages 81-87]
W
  • Water consump tion Application of stochastic restricted least trimmed squares ridge regression in water consumption modeling [Volume 26, Issue 2, 2021, Pages 9-19]