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 2021-08-01 to 2025-08-01.)
ArticleCitations
Additive distortion measurement errors regression models with exponential calibration32
Robust restricted Liu estimator in censored semiparametric linear models23
Efficient and distribution-free charts for monitoring the process location for individual observations21
Directed likelihood statistic to test the concentration parameter in von Mises regressions20
Confidence intervals for a proportion using a fixed-inverse double sampling scheme when the data are subject to false-positive misclassification19
Analysis of GEE with a mixture working correlation matrix for diverging number of covariates17
Combined Shewhart-EWMA and Shewhart-CUSUM schemes for monitoring the ratio of two normal variables16
Quantile adaptive lasso: variable selection for quantile treatment effect estimation16
Optimal Bayesian sampling plan for censored competing risks data15
Stability of principal components under normal and non-normal parent populations and different covariance structures scenarios13
Bayesian estimation of Gegenbauer processes13
The GLD-plot: a depth-based graphical tool to investigate unimodality of directional data13
The competencies of a new bathtub model and development of control charts with the application of lifetime data13
Composite quantile regression for heteroscedastic partially linear varying-coefficient models with missing censoring indicators13
A flexible integer-valued AR(1) process: estimation, forecasting and modeling COVID-19 data13
The uncertain exponential Ornstein–Uhlenbeck option pricing model considering interest rate risk: evidence from the Chinese stock options market12
To improve the performance of genetic algorithms by using a novel selection operator11
System reliability-redundancy optimization with cold-standby strategy by fitness-distance balance stochastic fractal search algorithm11
New control schemes for the Rayleigh distribution process based on the likelihood ratio test11
Modeling offence counts with a class of mixed integer-valued autoregressive models with dynamic mixing probabilities11
Towards U-statistics clustering inference for multiple groups10
A Cox-optimized survival model based on GrowNet10
A new approach for data-driven surrogate modelling applied in highly nonlinear engineering functions10
Multiple ‘memory-based’ schemes for monitoring Maxwell distributions with measurement errors9
Variable selection and estimation for recurrent event model with covariates subject to measurement error9
Discriminating between and within (semi)continuous classes of both Tweedie and geometric Tweedie models9
Minimum profile hellinger distance estimation of semiparametric multiple linear regression models8
Joint AFT random-effect modeling approach for clustered competing-risks data8
Anderson relaxation test for intrinsic dimension selection in model-based clustering8
A score test for detecting extreme values in a vector autoregressive model8
Development of the Aslam-Ahmad estimator for the Cox proportional and hazards regression model with multicollinearity8
F-test and z-test for high-dimensional regression models with a factor structure8
Computing the exact distribution of a linear combination of generalized logistic random variables and its applications8
Bayesian inference for pseudo-Poisson data8
A two-sided SPRT control chart for process mean8
Singhing with confidence: visualising the performance of confidence procedures8
A new confidence interval for the ratio of two normal means and comparisons8
Exponentially weighted moving average chart using zero-inflated negative binomial distribution7
Combining independent p-values in replicability analysis: a comparative study7
On the vector-valued generalized autoregressive models7
On competing risk model under step-stress stage life testing7
Recurrent neural network for complex survival problems7
Optimal design of multivariate acceptance sampling plans by variables7
Regression to the mean effect for bi-variate dispersed count data7
Generalized class of factor type exponential imputation techniques for population mean using simulation approach7
Hard-thresholding regularization method for high-dimensional heterogeneous models7
Uniformly strong consistency of the generalized edge frequency polygon density estimator under extended negatively dependent samples7
Correction7
Multilevel multinomial logit regression model with random effects: application to flash EuroBarometer euro survey data6
Non-randomized scrambling models for sensitive quantitative attribute using innocuous characteristics6
Estimate of a volatility's common component in ARSV models: a simulation study6
Bayesian and non-Bayesian reliability analysis with a new member of transmuted exponential-G family of distribution6
Interval estimation for the difference of two correlated gamma means: a generalized inference method and hybrid methods6
Improved estimation in a multivariate regression with measurement error6
On the order statistics of exponentiated moment exponential distribution and associated inference6
Asymptotic inference for moderate deviations from a unit root of nearly unstable INAR(1) processes6
Test for conditional Poissonity in integer-valued conditional autoregressive models6
A penalized estimation for the Cox model with ordinal multinomial covariates6
Bivariate INAR(1) model under negative binomial innovations with non-homogeneous over-dispersed indices and application6
Unit gamma mixed regression models for continuous bounded data6
Bootstrapping tests for breaks in mean or variance based on U-statistics6
Exact statistical inferences for the median of the Birnbaum–Saunders distribution6
LASSO–penalized clusterwise linear regression modelling: a two–step approach6
Compound negative binomial shared frailty model with random probability of susceptibility6
Robust estimation for general integer-valued autoregressive models based on the exponential-polynomial divergence6
Identifying the time of step change in process parameter for Maxwell distribution6
Inferential and predictive procedures for inverse gamma regression model6
Robust variable selection under cellwise contamination6
Process capability vector for multivariate nonlinear profiles6
Estimation of multicomponent stress–strength reliability based on unit Burr XII distribution: an application to dam occupancy rate of Istanbul, Turkey5
Approximate Bayesian analysis for c-vine copula-based dependent model with multiple competing risks5
Subset selection in network-linked data5
Trustworthy regularized huber regression for outlier detection5
A convergent wavelet-based method for solving linear stochastic differential equations included 1D and 2D noise5
Bayesian estimation of a quantile-based factor model5
A comparison of supersaturated designs and orthogonal arrays5
Designing Bayesian sampling plans for simple step-stress of accelerated life test on censored data5
Empirical-likelihood-based confidence intervals for quantile regression models with longitudinal data5
A new model for the reliability-redundancy allocation problem under the K-mixed redundancy strategy5
Power analysis for zero-inflated Poisson and negative binomial generalized linear models using Monte Carlo simulation5
Estimation for multivariate normal rapidly decreasing tempered stable distributions5
Bootstrap bandwidth selection for the pair correlation function of inhomogeneous spatial point processes5
An uniformly superior exact multi-sample test procedure for homogeneity of variances under location-scale family of distributions5
A critical review of univariate non-parametric estimation of first derivatives5
A variable sampling interval EWMA control chart for urinary tract infections data5
Detection and identification of mean shift using independent component analysis in multivariate processes5
A regression tree method for longitudinal and clustered data with multivariate responses5
Sparse estimation of parameter support sets for generalized vector autoregressions by resampling and model aggregation5
TV-CCANM: a transformer variational inference in confounding cascade additive noise model for causal effect estimation5
Efficient estimation in varying coefficient regression models5
Joint modelling location and scale with the LTS estimation method5
Model-based clustering via skewed matrix-variate cluster-weighted models4
Improving computational robustness in log-likelihood maximization for binary outcomes4
An ensemble learning method for variable selection: application to high-dimensional data and missing values4
On solving some stochastic delay differential equations by Daubechies wavelet4
Depth for samples of sets with applications to testing equality in distribution of two samples of random sets4
On designing efficient memory-type charts using multiple auxiliary-information4
Optimal two-sided tests and confidence regions for Conway–Maxwell–Poisson parameters4
Bayesian jackknife empirical likelihood for the error variance in linear regression models4
Class of composite estimators of population total using calibration estimation based on matched and unmatched sample under successive sampling4
Quantifying uncertainty of subsampling-based ensemble methods under a U-statistic framework4
Support vector machine in ultrahigh-dimensional feature space4
Weighted penalized m-estimators in robust ridge regression: an application to gasoline consumption data4
Functional data clustering via information maximization4
Exploring dimension learning via a penalized probabilistic principal component analysis4
Reliable simulation of extremely-truncated log-concave distributions4
Estimation of parameters in the MDDRCINAR(p) model4
A new online learning algorithm for streaming data and decision support with a Bayesian approach4
An effective class of estimators for population mean estimation in successive sampling using simulation approach4
A 2-stage elastic net algorithm for estimation of sparse networks with heavy-tailed data4
Are information criteria good enough to choose the right number of regimes in hidden Markov models?4
A new estimator of Kullback–Leibler information based on a local linear regression and its application in goodness-of-fit tests4
Parametric and nonparametric versions of adaptive CUSUM charts for monitoring the location of individual measurements4
Online Bayesian learning for mixtures of spatial spline regressions with mixed effects4
A new approach in modelling the circular data: circular ridge estimator3
A novel version for three-player gambler's ruin problem3
Monitoring of zero-inflated COM-Poisson processes3
Bayesian additive regression trees in spatial data analysis with sparse observations3
Robust hypothesis testing in functional linear models3
Robust testing of time trend and mean with unknown integration order errors3
A novel Bayesian approach to estimate long memory parameter3
Review of Bayesian books in Bayesian statistics3
Efficient computational algorithms for approximate optimal designs3
Robust empirical likelihood inference for partially linear varying coefficient models with longitudinal data3
Finite-sample performance of the T- and W-estimators for the Pareto tail index under data truncation and censoring3
Regression with missing data, a comparison study of techniques based on random forests3
Multi-choice stratified randomized response model with two-stage classification3
Correction3
Non-parametric progressive signed-rank control chart for monitoring the process location3
Improved estimators for analyzing highly skewed environmental datasets with detection limits3
Detection of anomalous behaviour using mixtures of von Mises distributions and an extension of the CUSUM algorithm3
Weighted χ2 tests for multiple group comparisons in observational studies3
Principal components regression estimators under biased stochastic linear restrictions3
Renewable estimation in expectile regression model with streaming data sets3
New Bayesian estimators for the incidence of inefficiency in the cases without a rule of thumb3
Confidence interval estimation for the Mantel–Haenszel estimator of the risk ratio and risk difference in rare event meta-analysis with emphasis on the bootstrap3
A search for short-period Tausworthe generators over Fb with application to Markov chain quasi-Monte Carlo3
An EM algorithm for estimation of the parameters of the geometric minification INAR model3
A parameter-free adaptive EWMA chart with variable sample sizes and variable sampling intervals for the process mean3
On periodic integer-valued moving average (INMA (q)) models3
Zero-and-one inflated Poisson–Lindley INAR(1) process for modelling count time series with extra zeros and ones3
Numerical algorithms for the asymptotic mean and variance of linear spectral statistics of high-dimensional correlation matrices3
Penalized empirical likelihood for high-dimensional generalized linear models with longitudinal data3
Iteratively reweighted least square for kernel expectile regression with random features3
Model-assisted estimators based on clustered coefficient linear regression models in small area estimation3
Multivariate functional generalized additive models3
An alternating direction method of multipliers algorithm for the weighted fused LASSO signal approximator3
An improved EM algorithm for variable selection with missing data in spatial error models3
A new omnibus SPRT chart for monitoring process mean and variability based on the average number of observations to signal3
Bayesian adaptive lasso for the generalized Poisson hurdle model3
Fast optimization methods for high-dimensional row-sparse multivariate quantile linear regression3
Diagnostic analystics in the Bayesian vector autoregressive model3
Best subset selection with shrinkage: sparse additive hazards regression with the grouping effect3
On estimating the boundaries of a uniform distribution under additive measurement errors3
Bayesian estimation of stochastic volatility jump diffusion model parameters using S&P 500 and VIX data3
A new nonparametric interpoint distance-based measure for assessment of clustering3
Inference in multivariate regression models with measurement errors3
Evaluation performance of time series methods in demand forecasting: Box-Jenkins vs artificial neural network (Case study: Automotive Parts industry)3
An R package AZIAD for analysing zero-inflated and zero-altered data3
A simple consistent Bayes factor for testing the Kendall rank correlation coefficient3
Optimal and economic design of repetitive group sampling plan for assuring median life under new complementary Bell Weibull-distributed life time model3
Systematically missing data in distributed data networks: multiple imputation when data cannot be pooled3
New biased estimators for the Conway–Maxwell-Poisson Model3
Enhanced parameter estimation for stable SDEs with jumps via quadratic variation3
Principal components regression based on kernel smoothing for semiparametric models with multicollinearity3
Phase II monitoring of logistic regression profiles with estimated parameters3
Optimization of functional diagnostic test: the effect of kernel method as an estimator of ROC curve3
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