Statistical Computing
A Berry-Esseen Type Bound for a Smoothed Version of Grenander Estimator

Raheleh Zamini

Volume 1, Issue 1 , December 2022, , Pages 1-9

https://doi.org/10.22054/jcsm.2018.33790.1007

Abstract
  In various statistical model, such as density estimation and estimation of regression curves or hazardrates, monotonicity constraints can arise naturally. A frequently encountered problem in nonparametricstatistics is to estimate a monotone density function f on a compact interval. A known estimator ...  Read More

Predicting the Brexit Outcome Using Singular Spectrum Analysis

Rahim Mahmoudvand; Paulo Canas Rodrigues

Volume 1, Issue 1 , December 2022, , Pages 11-19

https://doi.org/10.22054/jcsm.2018.33508.1006

Abstract
  In a referendum conducted in the United Kingdom (UK) on June 23, 2016, $51.6\\%$ of the participants voted to leave the European Union (EU). The outcome of this referendum had major policy and financial impact for both UK and EU, and was seen as a surprise because the predictions consistently indicate ...  Read More

Differenced-Based Double Shrinking in Partial Linear Models

Mina Norouzirad; Mohammad Arashi; Mahdi Roozbeh

Volume 1, Issue 1 , December 2022, , Pages 21-32

https://doi.org/10.22054/jcsm.2018.33896.1008

Abstract
  Partial linear model is very flexible when the relation between the covariates and responses, either parametric and nonparametric. However, estimation of the regression coefficients is challenging since one must also estimate the nonparametric component simultaneously. As a remedy, the differencing approach, ...  Read More

Statistical Computing
Statistical Topology Using the Nonparametric Density Estimation and Bootstrap Algorithm
Volume 1, Issue 1 , December 2022, , Pages 33-44

https://doi.org/10.22054/jcsm.2018.9248

Abstract
  This paper presents approximate confidence intervals for each function of parameters in a Banach space based on a bootstrap algorithm. We apply kernel density approach to estimate the persistence landscape. In addition, we evaluate the quality distribution function estimator of random variables ...  Read More

Computational Statistics
Economic Statistical Design of a Three-Level Control Chart with VSI Scheme

Reza Pourtaheri

Volume 1, Issue 1 , December 2022, , Pages 45-58

https://doi.org/10.22054/jcsm.2018.30016.1005

Abstract
  Traditionally, the statistical quality control techniques utilize either an attributes or variables product quality measure. Recently, some methods such as three-level control chart have been developed for monitoring multi attribute processes. Control chart usually has three design parameters: the sample ...  Read More

Inference on Pr(X > Y ) Based on Record Values From the Power Hazard Rate Distribution
Volume 1, Issue 1 , December 2022, , Pages 59-76

https://doi.org/10.22054/jcsm.2018.9250

Abstract
  In this article, we consider the problem of estimating the stress-strength reliability $Pr (X > Y)$ based on upper record values when $X$ and $Y$ are two independent but not identically distributed random variables from the power hazard rate distribution with common scale parameter $k$. When the parameter ...  Read More

Statistical Simulation
Assessment Estimation Modeling of the Midpoint Coefficient for Imprecise Data

farzad eskandari

Volume 1, Issue 1 , December 2022, , Pages 77-97

https://doi.org/10.22054/jcsm.2018.36479.1011

Abstract
  Imprecise measurement tools produce imprecise data. Interval-valued data is usually used to deal with such imprecision. So interval-valued variables are used in estimation methods. They have recently been modeled by linear regression models. If response variable has any statistical distributions, interval-valued ...  Read More

Statistical Computing
Minimum Loss Design of X Control Chart for Correlated Data Under Weibull In-Control Times with Multiple Assignable Causes

mohammad hossein naderi; Mohammad Bameni Moghadam; asghar Seif

Volume 1, Issue 1 , December 2022, , Pages 99-127

https://doi.org/10.22054/jcsm.2018.36532.1014

Abstract
  A proper method of monitoring a stochastic system is to use the control charts of statisticalprocess control in which a drift in characteristics of output may be due to one or several assignable causes. In the establishment of X charts in statistical process control, an assumption is made that there ...  Read More

Bayesian Computation Statistics
Bayesian Nonparametric Bivariate Meta Analysis

Ehsan Ormoz

Volume 1, Issue 1 , December 2022, , Pages 129-141

https://doi.org/10.22054/jcsm.2018.36484.1013

Abstract
  In the meta-analysis of clinical trials, usually the data of each trail summarized by one or more outcome measure estimates which reported along with their standard errors. In the case that summary data are multi-dimensional, usually, the data analysis will be performed in the form of a number of separated ...  Read More

Nonparametric Wavelet Quantile Density Estimations Based on Biased Data

Esmaeil Shirazi

Volume 1, Issue 1 , December 2022, , Pages 143-158

https://doi.org/10.22054/jcsm.2018.34089.1009

Abstract
  Estimation of a quantile density function from biased data is a frequent problem in industrial life testingexperiments and medical studies. The estimation of a quantile density function in the biased nonparametric regression model is inves-tigated. We propose and develop a new wavelet-based methodology ...  Read More

Semiparametric Ridge Regression for Longitudinal Data

mozhgan taavoni

Volume 1, Issue 1 , December 2022, , Pages 159-170

https://doi.org/10.22054/jcsm.2019.36950.1015

Abstract
  This paper considers an extension of the linear mixed model, called semiparametric mixed effects model, for longitudinal data, when multicollinearity is present. To overcome this problem, a new mixed ridge estimator is proposed while the nonparametric function in the semiparametric model is approximated ...  Read More

Bayesian Computation Statistics
Bayesian Variable Selection in Regression Models Using the Laplace Approximation

sima naghizadeh

Volume 1, Issue 1 , December 2022, , Pages 171-188

https://doi.org/10.22054/jcsm.2019.43908.1018

Abstract
  The Bayesian variable selection analysis is widely used as a new methodology in air quality control trials and generalized linear models. One of the important and, of course, controversial topics in this area is selection of prior distribution of unknown model parameters. The aim of this study is presenting ...  Read More

Statistical Computing
Investigating the Effective Factors on Adoption of E-Learning System in Qazvin University of Medical Sciences

Hassan Rashidi; Hamed Heidari; Marzie Movahedin; Maryam Moazami Gudarzi; Mostafa Shakerian

Volume 1, Issue 2 , June 2023, , Pages 1-27

https://doi.org/10.22054/jcsm.2019.43349.1017

Abstract
  The purpose of this research is to identify and introduce effective factors in adoption of e-learning based on technology adoption model. Accordingly, by considering the studies conducted in this field, several variables such as computer self-efficacy, content quality, system support, interface design, ...  Read More

The impact of audit quality on reducing collateral facilities and the role of major shareholders in listed companies of Tehran exchange market

Mahsa Ghajarbeigi; Hamid Reza Vakely fard; Ramzanali Roeayi

Articles in Press, Accepted Manuscript, Available Online from 04 December 2022

https://doi.org/10.22054/jcsm.2022.70725.1035

Abstract
  The purpose of this paper was to investigate the impact of audit quality on the reduction of collateral facilities, taking into account the role of major shareholders in companies listed on the Tehran Stock Exchange during the period 2017 to 2022. Considering the research conditions, 179 companies were ...  Read More

A New Approach Based on Business Intelligence and Bayesian Network for Analysis of Corporate Accounting Systems

azar ghyasi; hanieh rashidi

Articles in Press, Accepted Manuscript, Available Online from 04 December 2022

https://doi.org/10.22054/jcsm.2022.69949.1033

Abstract
  Due to the inherent complexity and increasing competition, today's business environment requires new approaches in organizing and managing. One of the new approaches is business intelligence, which is the most critical technology to help manage and deliver smart services, especially business reporting. ...  Read More

Mathematical Computing
Some Theoretical Results on the Tensor Elliptical Distribution

Mohammad Arashi

Volume 1, Issue 2 , June 2023, , Pages 29-41

https://doi.org/10.22054/jcsm.2021.47404.1019

Abstract
  The multilinear normal distribution is a widely used tool in the tensor analysis of magnetic resonance imaging (MRI). Diffusion tensor MRI provides a statistical estimate of a symmetric 2nd-order diffusion tensor for each voxel within an imaging volume. In this article, tensor elliptical (TE) distribution ...  Read More

Machine Learning
INTELLIGENT MODELING OF PERSIAN VERNACULAR ARCHITECTURE BASED ON THE FUZZY DELPHI METHOD (FDM)

Mostafa Azghandi; Mahdi Yaghoobi; Elham Fariborzi

Articles in Press, Accepted Manuscript, Available Online from 03 March 2024

https://doi.org/10.22054/jdsm.2024.78060.1042

Abstract
  By focusing on the fuzzy Delphi technique (FDM), the current research introduces a novel approach to modeling Persian vernacular architecture. Fuzzy Delphi is a more advanced version of the Delphi Method, which utilizes triangulation statistics to determine the distance between the levels of consensus ...  Read More

Statistical Computing
Assessment and Modeling of Interval-Valued Variables in Generalized Linear Models

farzad eskandari

Volume 1, Issue 2 , June 2023, , Pages 43-70

https://doi.org/10.22054/jcsm.2021.52523.1020

Abstract
  Interval-valued data are observed as ranges instead of single values and contain richer information thansingle-valued data. Meanwhile, interval-valued data are used for interval-valued characteristics. An intervalgeneralized linear model is proposed for the first time in this research. Then a suitable ...  Read More

Statistical Simulation
Automatic evaluation of record linkage methods in the expert system of producing statistical registers: string metric approach

Vadood keramati; Ramin Sadeghian; Maryam Hamedi; Ashkan Shabbak

Articles in Press, Accepted Manuscript, Available Online from 03 June 2024

https://doi.org/10.22054/jdsm.2024.76812.1039

Abstract
  Record linkage is a tool used to gather information and data from different sources. It is used in activities related to government, such as e-government and the production of register-based data. This method compares the strings in the databases and there are different methods for record linkage, such ...  Read More

Estimation for the Reliability Characteristics of a Family of Lifetime Distributions under Progressive Censoring

Alireza Safariyan; Reza Arabi Belaghi

Volume 1, Issue 2 , June 2023, , Pages 71-86

https://doi.org/10.22054/jcsm.2021.53672.1021

Abstract
  In this paper, the probability of failure-free operation until time t, along with the probability of stress-strength, based on progressive censoring data is studied in a family of lifetime distributions. Since the number of data in a progressive censoring scheme is usually reduced, so shrinkage methods ...  Read More

Bayesian Network
A Simple Gibbs Sampler for Learning Bayesian Network Structure

Vahid Rezaei Tabar

Volume 1, Issue 2 , June 2023, , Pages 87-97

https://doi.org/10.22054/jcsm.2021.55657.1022

Abstract
  The aim of this paper is to learn a Bayesian network structure for discrete variables. For this purpose, we introduce a Gibbs sampler method. Each sample represents a Bayesian network. Thus, in the process of Gibbs sampling, we obtain a set of Bayesian networks. For achieving a single graph that represents ...  Read More

Statistical Simulation
Estimation of Fixed Parameters in Negative Binomial Mixed Model Using Shrinkage Estimators

Zahra Zandi; Hossein Bevrani; Reza Arabi Belaghi

Volume 1, Issue 2 , June 2023, , Pages 99-124

https://doi.org/10.22054/jcsm.2021.56488.1023

Abstract
  ‎In this paper‎, ‎we consider the problem of parameter estimation in {color{blue} negative binomial mixed model} when it is suspected that some of the fixed parameters may be restricted to a subspace via linear shrinkage‎, ‎{color{blue} preliminary test}‎, ‎shrinkage {color{blue} ...  Read More

Mathematical Computing
Mathematical Modeling of Behavior of Retrofitted RC Frames

Ali Moafi; Ali Kheyroddin; Hamid Saberi; Vahid Saberi

Volume 1, Issue 2 , June 2023, , Pages 125-138

https://doi.org/10.22054/jcsm.2021.59910.1024

Abstract
  Due to several reasons as the low resistance of constructed concrete and also change in codes or application of structures, some concrete frames need to be retrofitted. By adding the steel prop and curb to the reinforced concrete, many parameters are changed such as ductility, resistance, and stiffness. ...  Read More

Mathematical Computing
New ‎Adaptive Monte Carlo Algorithm ‎t‎o Solve ‎Financial‎ Option ‎Pricing Problems‎

Mahboubeh Aalaei

Volume 1, Issue 2 , June 2023, , Pages 139-151

https://doi.org/10.22054/jcsm.2021.60573.1025

Abstract
  In this paper, a new adaptive Monte Carlo algorithm is proposed to solve ‎the ‎systems ‎of ‎linear ‎algebraic ‎equations ‎arising ‎from‎ the Black–Scholes model ‎to ‎price‎ European and American options. The proposed algorithm offers several advantages ...  Read More

Routing Optimization in Wireless Sensor Networks to Increase Network Life by Managing Network Energy

bahareh asadi

Volume 1, Issue 2 , June 2023, , Pages 153-169

https://doi.org/10.22054/jcsm.2022.64359.1029

Abstract
  One of the important challenges in Wireless Sensor Networks is to proceeds data transmission in a way that tries to increase the life of the network. One of the main issues is the reduction of latency in the node and energy in the sink nodes. Due to the limited energy of the nodes, data transmission ...  Read More