Andishe_ye Amari

Andishe_ye Amari

Number of Volumes 29
Number of Issues 58
Number of Articles 529
Number of Contributors 660
Article View 50,478
PDF Download 32,858
View Per Article 95.42
PDF Download Per Article 62.11
 
Number of Submissions 49
Rejected Submissions 5
Rejection Rate 10
Accepted Submissions 25
Acceptance Rate 51
Time to Accept (Days) 139
Time to Publish (After Acceptance) (Days) 1
Number of Indexing Databases 9
Number of Reviewers 80

 

🌿 The Scientific Journal “Andishe-ye Amari”

This journal is officially registered with the Ministry of Culture and Islamic Guidance and is published with a print ISSN (P-ISSN: 1026-8944) and an electronic ISSN (E-ISSN: 2717-4549), assigned by the National Library and Archives of the Islamic Republic of Iran.
The journal is published biannually in the Persian language.
Based on the official notification No. 11/25685 dated 2019/04/29 issued by the Ministry of Science, Research and Technology, the journal has been promoted to the rank of a Scientific Journal.


📊 Aims and Scope of the Journal

In line with achieving the journal’s objectives, strengthening scientific communication among statisticians and researchers from other disciplines, and promoting statistical knowledge and culture, Andishe-ye Amari welcomes original manuscripts in the following areas:

🔹 Statistical Computing
🔹 Statistical Modeling
🔹 Statistics Education
🔹 Applications of Statistics in Various Scientific Fields

✨ Submitted manuscripts must demonstrate scientific originality and be aligned with the journal’s aims and scope.
Researchers and scholars are warmly invited to contribute by submitting their latest scientific findings and to participate in enhancing the scientific quality of the journal.


ℹ️ Important Journal Information

✅ Indexed in: Islamic World Science Citation Center (ISC)

💰 Article Processing Charges: Free of charge (No submission or publication fees)
In accordance with the regulation approved by the Ministry of Science (2021/04/12)

⚖️ Publication Ethics: The journal adheres to the principles of the Committee on Publication Ethics (COPE) and complies with national regulations on preventing and addressing scientific misconduct.

🔓 Access Policy: All published articles are available under Open Access.

🧠 Plagiarism & Similarity Check:
All submitted manuscripts are screened using reliable Similarity Check systems prior to the peer-review process. Manuscripts with unethical or unacceptable similarity will be excluded from the review process.


📢 Official Information Channel

To receive the latest news, calls for papers, and announcements, join the official Andishe-ye Amari journal channel on the Bale messenger:

👉 https://ble.ir/andisheyeamari

Keywords Cloud

  • Inside the file
  • Maximum likelihood estimation
  • In the file
  • Exponential Distribution
  • Reliability
  • Logistic regression
  • Pareto distribution
  • estimation
  • outliers
  • Monte Carlo Simulation
  • Entropy
  • Bayesian Inference
  • hazard function
  • prior distribution
  • moments
  • loss function
  • Confidence interval
  • Bayesian estimation
  • posterior distribution
  • Coverage probability
  • Regression
  • Decision tree
  • Maximum Likelihood
  • Functional Regression
  • Functional Data Analysis
  • random sequences
  • model recognition
  • mean remaining life
  • measurement error
  • Order statistics
  • Outlier data
  • Statistical thinking
  • Support Vector Machine
  • Principal Component Analysis
  • Statistics Education
  • Markov Chain
  • optimality criterion
  • robust regression
  • survival function
  • Ordinal statistics
  • Beta distribution
  • Interval linear regression
  • longitudinal data
  • two-stage cluster sampling
  • Parameter estimation
  • Statistical Literacy
  • k-of-n systems
  • Circular data
  • Linear Programming
  • beta-binomial distribution
  • fuzzy intervals
  • Coherent System
  • , &lrm
  • Nonlinear Models
  • Classification
  • Hamiltonian Monte Carlo Algorithm
  • R
  • E-Bayesian estimation
  • log-logistic distribution
  • Gompertz distribution
  • Generalized lambda distribution
  • Bayesian prediction
  • variable selection
  • Cost function
  • reliability measure
  • mutual information
  • unbiased confidence interval
  • distribution
  • Copula function
  • Bayesian information criterion
  • Dirichlet distribution
  • total inclusion
  • R software
  • Generalized Maximum Entropy
  • Machine Learning
  • Forecasting
  • Fuzzy regression
  • tolerance interval
  • Rayleigh distribution
  • Location and scale parameters
  • limit distribution
  • Exponential smoothing
  • probabilistic regression
  • Likelihood function
  • kernel function
  • Power Distribution
  • Risk
  • skewness
  • Bayesian network
  • Inverse Rayleigh distribution
  • LASSO
  • visualization
  • functional data
  • Joint function
  • Fuzzy random variables
  • normal distribution
  • Clustering
  • Probability
  • Support vector regression
  • Copula
  • Ruin probability
  • inverse hazard rate
  • mean square error
  • Hierarchical Bayesian estimation
  • Weibull distribution
  • hierarchical models
  • Time Series
  • Statistical Reasoning
  • Factor analysis
  • traditional census
  • moment estimation
  • Exponential Family
  • censored data
  • Ridge regression
  • mixture distribution
  • In the text
  • Weight function
  • Bayesian Statistics
  • optimal design
  • average coverage probability
  • maximum likelihood estimator
  • Cox regression
  • COVID-19
  • detailed function
  • confidence coefficient
  • Akaike Information Criterion
  • Binomial distribution
  • inverse regression
  • SEM
  • renewal process
  • mean squared prediction error criterion
  • ‎Efficacy‎‎ ‎index‎
  • Objective approach
  • T^2-Hetling distribution
  • kernel audit methods
  • t distribution
  • Privacy&lrm
  • mixture population
  • A- and E- optimality
  • link rules
  • Kolmogorov-Smirnov test
  • statistical hypothesis tests
  • statistical research
  • Deciding Authorship
  • Interval estimation
  • likelihood function estimation
  • Bayes in the 21st century
  • nonparametric Bayes
  • symétrie
  • Bernoulli
  • approximate degrees of freedom
  • Watson framework
  • conjugate prior distribution
  • exploratory data analysis
  • Saturated cloud scheme
  • Three parameter Weibull distribution
  • Dependent innovations
  • Bootstrap without replacement
  • Multiple instance learning
  • arithmetic operator
  • Autoregressive moving average process
  • Non-linear models
  • Basu\'s theorem
  • lifetime density
  • Test alignment
  • linear predictor
  • generalized gamma distribution
  • Stochastic linear restriction
  • Generalized Cross Validation
  • Infinite time ruin probability
  • Variable sample size and control limits (VSSC)
  • Colliniarity
  • Balanced elliptical distributions
  • statistical consulting
  • Cox Proportional Hazards Model
  • Labour Force Survey
  • Maximum likelihood function
  • Cramer-Landberg Risk Model
  • fuzzy data
  • integral mean square error
  • Cubic transmuted Gumbel distribution
  • Turing
  • model selection
  • overdispersion
  • sparse model
  • Hotelling T2 control chart
  • equivalence theorem
  • logique booléenne
  • Poisson transform
  • functional time series
  • mixture integration
  • X-T distribution
  • multicollinearity
  • Cover Coverage
  • teachers
  • Non-monotone dependence
  • joint distributions
  • Poisson mixture model
  • Extended Weibull distribution
  • Stochastic Orders