Journal of Statistical Computation and Simulation

Papers
(The TQCC of Journal of Statistical Computation and Simulation is 3. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-06-01 to 2026-06-01.)
ArticleCitations
Confidence intervals for a proportion using a fixed-inverse double sampling scheme when the data are subject to false-positive misclassification29
Directed likelihood statistic to test the concentration parameter in von Mises regressions24
The competencies of a new bathtub model and development of control charts with the application of lifetime data22
Quantile adaptive lasso: variable selection for quantile treatment effect estimation19
New control schemes for the Rayleigh distribution process based on the likelihood ratio test18
Time-varying spatio-temporal models by wavelets17
To improve the performance of genetic algorithms by using a novel selection operator17
Optimal Bayesian sampling plan for censored competing risks data15
The uncertain exponential Ornstein–Uhlenbeck option pricing model considering interest rate risk: evidence from the Chinese stock options market15
Bayesian estimation of Gegenbauer processes15
Correction13
Combined Shewhart-EWMA and Shewhart-CUSUM schemes for monitoring the ratio of two normal variables13
Towards U-statistics clustering inference for multiple groups12
Efficient and distribution-free charts for monitoring the process location for individual observations11
A flexible integer-valued AR(1) process: estimation, forecasting and modeling COVID-19 data11
Stability of principal components under normal and non-normal parent populations and different covariance structures scenarios10
Modeling offence counts with a class of mixed integer-valued autoregressive models with dynamic mixing probabilities10
A Cox-optimized survival model based on GrowNet10
Bayesian exponential random graph models under the horseshoe prior10
Extending finite mixture models with skew-normal distributions and hidden Markov models for time series10
Influence diagnostics in Gamma–Pareto ridge regression model10
A new composite Mann-Whitney test for two-sample survival comparisons with right-censored data10
Composite quantile regression for heteroscedastic partially linear varying-coefficient models with missing censoring indicators10
Recurrent neural network for complex survival problems9
An adaptive extended EWMA control chart for enhanced detection of process mean shifts9
A new confidence interval for the ratio of two normal means and comparisons9
Estimating the parameters of vector autoregressive models under multivariate tail-inflated normal innovations9
Bayesian inference for pseudo-Poisson data9
Variable selection and estimation for recurrent event model with covariates subject to measurement error9
Generalized class of factor type exponential imputation techniques for population mean using simulation approach8
Multiple ‘memory-based’ schemes for monitoring Maxwell distributions with measurement errors8
On competing risk model under step-stress stage life testing8
Goodness-of-fit tests for Pareto type-I distribution with complete and censored data8
On the vector-valued generalized autoregressive models8
A score test for detecting extreme values in a vector autoregressive model8
Lower k -record values from unit-Gompertz distribution and associated inference8
Regression to the mean effect for bi-variate dispersed count data8
Exponentially weighted moving average chart using zero-inflated negative binomial distribution8
Joint AFT random-effect modeling approach for clustered competing-risks data8
Development of the Aslam-Ahmad estimator for the Cox proportional and hazards regression model with multicollinearity8
Minimum profile hellinger distance estimation of semiparametric multiple linear regression models8
A new approach for data-driven surrogate modelling applied in highly nonlinear engineering functions8
A two-sided SPRT control chart for process mean8
Hard-thresholding regularization method for high-dimensional heterogeneous models8
Inferential and predictive procedures for inverse gamma regression model7
Bivariate INAR(1) model under negative binomial innovations with non-homogeneous over-dispersed indices and application7
Test for conditional Poissonity in integer-valued conditional autoregressive models7
Asymptotic inference for moderate deviations from a unit root of nearly unstable INAR(1) processes7
Robustness assessment of pretest and shrinkage estimators in censored semiparametric linear models7
A novel two-stage calibration framework for correlation estimation under multiplicative distortions7
Variable selection for zero-inflated Poisson regression model7
Non-randomized scrambling models for sensitive quantitative attribute using innocuous characteristics7
Uniformly strong consistency of the generalized edge frequency polygon density estimator under extended negatively dependent samples7
clrng: a tool set for parallel random number generation on GPUs in R7
LASSO–penalized clusterwise linear regression modelling: a two–step approach7
Robust estimation for general integer-valued autoregressive models based on the exponential-polynomial divergence6
Correction6
Approximate Bayesian analysis for c-vine copula-based dependent model with multiple competing risks6
Power analysis for zero-inflated Poisson and negative binomial generalized linear models using Monte Carlo simulation6
Estimation of multicomponent stress–strength reliability based on unit Burr XII distribution: an application to dam occupancy rate of Istanbul, Turkey6
Improving computational robustness in log-likelihood maximization for binary outcomes6
Parametric estimation of PCI C * pm under doubly type II censored sampling scheme with application to 6
Bayesian and non-Bayesian reliability analysis with a new member of transmuted exponential-G family of distribution6
Bayesian structure learning in closed skew-normal graphical models6
Identifying the time of step change in process parameter for Maxwell distribution6
Implementation of weighted RBM feature-based ensemble deep learning network for malicious intrusion detection in industrial control systems using enhanced heuristic mechanism6
Subset estimators for spherical mean: effect of contamination and exact algorithm for computation6
Bootstrapping tests for breaks in mean or variance based on U-statistics6
Multilevel multinomial logit regression model with random effects: application to flash EuroBarometer euro survey data6
Estimate of a volatility's common component in ARSV models: a simulation study6
Compound negative binomial shared frailty model with random probability of susceptibility6
Improved estimation in a multivariate regression with measurement error6
A variable sampling interval EWMA control chart for urinary tract infections data6
Robust variable selection under cellwise contamination6
Efficient estimation in varying coefficient regression models5
Class of composite estimators of population total using calibration estimation based on matched and unmatched sample under successive sampling5
An uniformly superior exact multi-sample test procedure for homogeneity of variances under location-scale family of distributions5
Bayesian analysis for varying coefficient autoregressive models5
A 2-stage elastic net algorithm for estimation of sparse networks with heavy-tailed data5
Reliable simulation of extremely-truncated log-concave distributions5
A regression tree method for longitudinal and clustered data with multivariate responses5
Objective Bayesian inference for the Exponential-Logarithmic distribution5
Estimation for multivariate normal rapidly decreasing tempered stable distributions5
Sparse estimation of parameter support sets for generalized vector autoregressions by resampling and model aggregation5
Trustworthy regularized huber regression for outlier detection5
Bootstrap bandwidth selection for the pair correlation function of inhomogeneous spatial point processes5
Depth for samples of sets with applications to testing equality in distribution of two samples of random sets5
Heavy tail index estimation for block data5
TV-CCANM: a transformer variational inference in confounding cascade additive noise model for causal effect estimation5
Mixture modeling, heavy tailedness, asymmetry and conditional heteroskedasticity in financial returns modelling5
A comparison of supersaturated designs and orthogonal arrays5
A convergent wavelet-based method for solving linear stochastic differential equations included 1D and 2D noise5
Bayesian estimation of a quantile-based factor model5
Optimal two-sided tests and confidence regions for Conway–Maxwell–Poisson parameters5
Joint modelling location and scale with the LTS estimation method5
Model-based clustering via skewed matrix-variate cluster-weighted models5
Are information criteria good enough to choose the right number of regimes in hidden Markov models?4
Parametric and nonparametric versions of adaptive CUSUM charts for monitoring the location of individual measurements4
Classification rule for two normal populations with a common mean based on likelihood accordance and Bayes estimators4
Principal components regression based on kernel smoothing for semiparametric models with multicollinearity4
Statistical inference on stress-strength reliability of cold standby systems using discrete phase type distribution4
A Bayesian approach to semi-supervised domain adaptation in streaming data4
An R package AZIAD for analysing zero-inflated and zero-altered data4
Penalized empirical likelihood for high-dimensional generalized linear models with longitudinal data4
An enhanced approach for chest X-ray image classification via residual EfficientNet-based LSTM layer with adaptive heuristic assisted segmentation for the early detection of diseases4
Weighted penalized m-estimators in robust ridge regression: an application to gasoline consumption data4
Bayesian adaptive lasso for the generalized Poisson hurdle model4
On the use of mean square error and directional forecast accuracy for model selection: a simulation study4
Support vector machine in ultrahigh-dimensional feature space4
Functional data clustering via information maximization4
Quantifying uncertainty of subsampling-based ensemble methods under a U-statistic framework4
An effective class of estimators for population mean estimation in successive sampling using simulation approach4
Influence diagnostics for generalized CP tensor regression models4
Model-assisted estimators based on clustered coefficient linear regression models in small area estimation4
New biased estimators for the Conway–Maxwell-Poisson Model4
An MCMC algorithm for bounded count time series hysteretic models with an application to disease infection4
An alternating direction method of multipliers algorithm for the weighted fused LASSO signal approximator4
Exploring dimension learning via a penalized probabilistic principal component analysis4
Optimal and economic design of repetitive group sampling plan for assuring median life under new complementary Bell Weibull-distributed life time model4
Estimation of process capability index ℂ s based on multiple interval type I censored samples usin4
A new online learning algorithm for streaming data and decision support with a Bayesian approach4
A new estimator of Kullback–Leibler information based on a local linear regression and its application in goodness-of-fit tests4
On solving some stochastic delay differential equations by Daubechies wavelet4
Detection of anomalous behaviour using mixtures of von Mises distributions and an extension of the CUSUM algorithm4
A new approach in modelling the circular data: circular ridge estimator4
A new omnibus SPRT chart for monitoring process mean and variability based on the average number of observations to signal4
Enhancing process stability with robust charts using high breakdown point estimators in contaminated settings: an application in healthcare monitoring*4
Identifying one-inflation in regression models for ratio estimators in single-source capture-recapture problems4
Optimization of functional diagnostic test: the effect of kernel method as an estimator of ROC curve4
A VAE approach to sample multivariate extremes4
On designing efficient memory-type charts using multiple auxiliary-information4
A Bayesian hybrid method for the analysis of generalized linear models with missing-not-at-random covariates3
Renewable estimation in expectile regression model with streaming data sets3
Online updating estimation for heterogenous updating generalized linear models with streaming datasets3
Estimation of non-Gaussian SVAR models: a pseudo-log-likelihood function approach3
A new algorithm for the maximum likelihood estimator in Erlang mixtures3
Numerical algorithms for the asymptotic mean and variance of linear spectral statistics of high-dimensional correlation matrices3
Robust hypothesis testing in functional linear models3
Introduction of robust multivariate process capability indices3
On the non-central Dirichlet distribution3
Joint composite quantile regression modeling analysis of multivariate longitudinal data with its application to A liver cirrhosis dataset3
Enhanced parameter estimation for stable SDEs with jumps via quadratic variation3
Estimating autoRegressive processes with positive white noise3
Fast optimization methods for high-dimensional row-sparse multivariate quantile linear regression3
Maximum likelihood estimators and properties of the parameters of the Power Ailamujia distribution under ranked set sampling3
An improved EM algorithm for variable selection with missing data in spatial error models3
Bayesian factor zero-inflated Poisson model for multiple grouped count data3
Best subset selection with shrinkage: sparse additive hazards regression with the grouping effect3
Disagreement based variable selection method for high-dimensional censored data3
A communication-efficient method for ℓ0 regularization linear regression models3
Multiple imputation based on the support vector machine for high-dimensional data with general missing patterns in causal inference3
Confidence intervals for risk difference of two independent negative binomial proportions using method of variance estimates recovery3
On periodic integer-valued moving average (INMA (q)) models3
Monitoring of zero-inflated COM-Poisson processes3
Bayesian additive regression trees in spatial data analysis with sparse observations3
Principal components regression estimators under biased stochastic linear restrictions3
Analysis of adaptive type-II progressively hybrid censoring with binomial removals3
Systematically missing data in distributed data networks: multiple imputation when data cannot be pooled3
Diagnostic analystics in the Bayesian vector autoregressive model3
Finite-sample performance of the T- and W-estimators for the Pareto tail index under data truncation and censoring3
Robust transfer learning for high-dimensional regression with linear constraints3
Fisher-Rao distance between truncated distributions and robustness analysis in uncertainty quantification3
Variable selection for nonparametric Tobit model via deep learning3
Correction3
Improved estimators for analyzing highly skewed environmental datasets with detection limits3
Robust empirical likelihood inference for partially linear varying coefficient models with longitudinal data3
Construction of fuzzy X¯−S control chart using trapezoidal fuzzy number with unbalanced data3
A threshold mixed-effects Tobit model for treatment-sensitive subgroup identification based on longitudinal measures with floor and ceiling effects and a continuous covariate3
Support vector machine analysis under right censored data3
Inference in multivariate regression models with measurement errors3
Review of Bayesian books in Bayesian statistics3
Design and evaluation of an enhanced nonparametric EWMA sign control chart for effective monitoring of industrial processes3
Iteratively reweighted least square for kernel expectile regression with random features3
Distribution-free Phase II Shewhart control chart for joint monitoring of location and scale based on max-type statistic3
Evaluation performance of time series methods in demand forecasting: Box-Jenkins vs artificial neural network (Case study: Automotive Parts industry)3
Regression with missing data, a comparison study of techniques based on random forests3
A novel and efficient estimation of population mean using auxiliary information under simple random sampling in sample surveys3
A simple consistent Bayes factor for testing the Kendall rank correlation coefficient3
A novel Bayesian computational approach for bridge-randomized quantile regression in high dimensional models3
Bayesian estimation of stochastic volatility jump diffusion model parameters using S&P 500 and VIX data3
A search for short-period Tausworthe generators over Fb with application to Markov chain quasi-Monte Carlo3
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