Andishe_ye Amari

Andishe_ye Amari

A
B
  • Bayes Predicting future record values ​​in an exponential distribution [Volume 18, Issue 2, 2013, Pages 27-34]
  • Bayesian predictive density A Bayesian predictive density-based variability moving average control chart [Volume 18, Issue 2, 2013, Pages 73-82]
  • Benford's law Ben Ford's Law and its Applications [Volume 18, Issue 1, 2013, Pages 71-84]
  • Binomial distribution Comparison of five introduced confidence intervals for the ratio parameter in the binomial distribution [Volume 18, Issue 2, 2013, Pages 39-46]
  • Braxton error Linear regression in the presence of worse data [Volume 18, Issue 1, 2013, Pages 85-96]
C
  • Chi-square Displaying bivariate data [Volume 18, Issue 1, 2013, Pages 59-69]
  • Clustering Data mining in R using the Rattle package [Volume 18, Issue 1, 2013, Pages 17-29]
  • Confidence interval Comparison of five introduced confidence intervals for the ratio parameter in the binomial distribution [Volume 18, Issue 2, 2013, Pages 39-46]
  • Coverage probability Comparison of five introduced confidence intervals for the ratio parameter in the binomial distribution [Volume 18, Issue 2, 2013, Pages 39-46]
D
  • Data Mining Data mining in R using the Rattle package [Volume 18, Issue 1, 2013, Pages 17-29]
  • Decision tree Data mining in R using the Rattle package [Volume 18, Issue 1, 2013, Pages 17-29]
  • Dirichlet distribution Previous introduction of the Dirichlet process in the framework of nonparametric Bayesian models [Volume 18, Issue 2, 2013, Pages 61-72]
  • Dirichlet process Previous introduction of the Dirichlet process in the framework of nonparametric Bayesian models [Volume 18, Issue 2, 2013, Pages 61-72]
E
  • Exploration designs An overview of exploration plans and their evaluation criteria [Volume 18, Issue 1, 2013, Pages 31-43]
  • Exponential Distribution Predicting future record values ​​in an exponential distribution [Volume 18, Issue 2, 2013, Pages 27-34]
H
  • Hidden cut method Chole distributions and their application in medical data analysis of Mobarakeh Steel Factory, Isfahan [Volume 18, Issue 1, 2013, Pages 45-58]
I
  • Interval estimation A review of numerical methods for calculating point and interval estimates using s-plus software [Volume 18, Issue 2, 2013, Pages 47-60]
J
  • Joint function Tail dependence for the weighted average of two joint functions [Volume 18, Issue 2, 2013, Pages 1-7]
K
  • Kullback-Leibler distance An overview of exploration plans and their evaluation criteria [Volume 18, Issue 1, 2013, Pages 31-43]
M
  • Moving average A Bayesian predictive density-based variability moving average control chart [Volume 18, Issue 2, 2013, Pages 73-82]
N
  • Newton-Raphson method A review of numerical methods for calculating point and interval estimates using s-plus software [Volume 18, Issue 2, 2013, Pages 47-60]
P
  • Paired data Displaying bivariate data [Volume 18, Issue 1, 2013, Pages 59-69]
R
  • R Data mining in R using the Rattle package [Volume 18, Issue 1, 2013, Pages 17-29]
  • Rattle Data mining in R using the Rattle package [Volume 18, Issue 1, 2013, Pages 17-29]
  • Reliability Ben Ford's Law and its Applications [Volume 18, Issue 1, 2013, Pages 71-84]
S
  • Spatially worse data Linear regression in the presence of worse data [Volume 18, Issue 1, 2013, Pages 85-96]
  • S-PLUS software A review of numerical methods for calculating point and interval estimates using s-plus software [Volume 18, Issue 2, 2013, Pages 47-60]
  • Support Vector Machine Data mining in R using the Rattle package [Volume 18, Issue 1, 2013, Pages 17-29]
T
  • This article is missing key points Critique of the undergraduate program in the field of Mathematics and its applications at the undergraduate level of the Mathematical Sciences Educational Complex [Volume 18, Issue 1, 2013, Pages 1-15]