Journal of Statistical Computation and Simulation

Article	Citations
Confidence intervals for a proportion using a fixed-inverse double sampling scheme when the data are subject to false-positive misclassification	29
Directed likelihood statistic to test the concentration parameter in von Mises regressions	26
The competencies of a new bathtub model and development of control charts with the application of lifetime data	22
Quantile adaptive lasso: variable selection for quantile treatment effect estimation	21
New control schemes for the Rayleigh distribution process based on the likelihood ratio test	20
To improve the performance of genetic algorithms by using a novel selection operator	20
The uncertain exponential Ornstein–Uhlenbeck option pricing model considering interest rate risk: evidence from the Chinese stock options market	16
Time-varying spatio-temporal models by wavelets	16
Bayesian estimation of Gegenbauer processes	15
Correction	14
Optimal Bayesian sampling plan for censored competing risks data	14
A new composite Mann-Whitney test for two-sample survival comparisons with right-censored data	13
Bayesian exponential random graph models under the horseshoe prior	13
A flexible integer-valued AR(1) process: estimation, forecasting and modeling COVID-19 data	12
Efficient and distribution-free charts for monitoring the process location for individual observations	12
Estimating the parameters of vector autoregressive models under multivariate tail-inflated normal innovations	11
Composite quantile regression for heteroscedastic partially linear varying-coefficient models with missing censoring indicators	11
Influence diagnostics in Gamma–Pareto ridge regression model	11
An adaptive extended EWMA control chart for enhanced detection of process mean shifts	11
A Cox-optimized survival model based on GrowNet	10
Towards U-statistics clustering inference for multiple groups	10
Extending finite mixture models with skew-normal distributions and hidden Markov models for time series	10
Stability of principal components under normal and non-normal parent populations and different covariance structures scenarios	10
Combined Shewhart-EWMA and Shewhart-CUSUM schemes for monitoring the ratio of two normal variables	10
Modeling offence counts with a class of mixed integer-valued autoregressive models with dynamic mixing probabilities	10

Variable selection and estimation for recurrent event model with covariates subject to measurement error	10
Bayesian inference for pseudo-Poisson data	9
Generalized class of factor type exponential imputation techniques for population mean using simulation approach	9
Recurrent neural network for complex survival problems	9
Multiple ‘memory-based’ schemes for monitoring Maxwell distributions with measurement errors	9
A score test for detecting extreme values in a vector autoregressive model	9
A new confidence interval for the ratio of two normal means and comparisons	9
Minimum profile hellinger distance estimation of semiparametric multiple linear regression models	9
A new approach for data-driven surrogate modelling applied in highly nonlinear engineering functions	8
Joint AFT random-effect modeling approach for clustered competing-risks data	8
Regression to the mean effect for bi-variate dispersed count data	8
Non-randomized scrambling models for sensitive quantitative attribute using innocuous characteristics	8
Goodness-of-fit tests for Pareto type-I distribution with complete and censored data	8
Development of the Aslam-Ahmad estimator for the Cox proportional and hazards regression model with multicollinearity	8
Lower k -record values from unit-Gompertz distribution and associated inference	8
Hard-thresholding regularization method for high-dimensional heterogeneous models	8
Uniformly strong consistency of the generalized edge frequency polygon density estimator under extended negatively dependent samples	8
A two-sided SPRT control chart for process mean	8
On competing risk model under step-stress stage life testing	8
Exponentially weighted moving average chart using zero-inflated negative binomial distribution	8
On the vector-valued generalized autoregressive models	8
Bivariate INAR(1) model under negative binomial innovations with non-homogeneous over-dispersed indices and application	8
Asymptotic inference for moderate deviations from a unit root of nearly unstable INAR(1) processes	7
LASSO–penalized clusterwise linear regression modelling: a two–step approach	7
Correction	7
A novel two-stage calibration framework for correlation estimation under multiplicative distortions	7
Test for conditional Poissonity in integer-valued conditional autoregressive models	7
Bayesian and non-Bayesian reliability analysis with a new member of transmuted exponential-G family of distribution	7
Robust estimation for general integer-valued autoregressive models based on the exponential-polynomial divergence	7
clrng: a tool set for parallel random number generation on GPUs in R	7
Variable selection for zero-inflated Poisson regression model	7
Estimate of a volatility's common component in ARSV models: a simulation study	7
Robust variable selection under cellwise contamination	6
Improved estimation in a multivariate regression with measurement error	6
Inferential and predictive procedures for inverse gamma regression model	6
Novel bivariate integer-valued autoregressive models: theory, estimation, and a comparative study of machine learning approaches	6
Robustness assessment of pretest and shrinkage estimators in censored semiparametric linear models	6
Estimation of multicomponent stress–strength reliability based on unit Burr XII distribution: an application to dam occupancy rate of Istanbul, Turkey	6
Power analysis for zero-inflated Poisson and negative binomial generalized linear models using Monte Carlo simulation	6
Approximate Bayesian analysis for c-vine copula-based dependent model with multiple competing risks	6
Bayesian structure learning in closed skew-normal graphical models	6
Parametric estimation of PCI C * pm under doubly type II censored sampling scheme with application to	6
Implementation of weighted RBM feature-based ensemble deep learning network for malicious intrusion detection in industrial control systems using enhanced heuristic mechanism	6
Subset estimators for spherical mean: effect of contamination and exact algorithm for computation	6
Change point testing for two phase Wiener process with nonlinear drift	6
Identifying the time of step change in process parameter for Maxwell distribution	6
Compound negative binomial shared frailty model with random probability of susceptibility	6
Bootstrapping tests for breaks in mean or variance based on U-statistics	6
A variable sampling interval EWMA control chart for urinary tract infections data	6
Heavy tail index estimation for block data	5

Mixture modeling, heavy tailedness, asymmetry and conditional heteroskedasticity in financial returns modelling	5
Depth for samples of sets with applications to testing equality in distribution of two samples of random sets	5
TV-CCANM: a transformer variational inference in confounding cascade additive noise model for causal effect estimation	5
Class of composite estimators of population total using calibration estimation based on matched and unmatched sample under successive sampling	5
Sparse estimation of parameter support sets for generalized vector autoregressions by resampling and model aggregation	5
Reliable simulation of extremely-truncated log-concave distributions	5
A comparison of supersaturated designs and orthogonal arrays	5
A convergent wavelet-based method for solving linear stochastic differential equations included 1D and 2D noise	5
An effective class of estimators for population mean estimation in successive sampling using simulation approach	5
Optimal two-sided tests and confidence regions for Conway–Maxwell–Poisson parameters	5
Bayesian estimation of a quantile-based factor model	5
Efficient estimation in varying coefficient regression models	5
A regression tree method for longitudinal and clustered data with multivariate responses	5
Bootstrap bandwidth selection for the pair correlation function of inhomogeneous spatial point processes	5
Improving computational robustness in log-likelihood maximization for binary outcomes	5
Direct plug-in bandwidth selector for kernel estimation based on ranked set sampling	5
Bayesian analysis for varying coefficient autoregressive models	5
Parametric and nonparametric versions of adaptive CUSUM charts for monitoring the location of individual measurements	5
Joint modelling location and scale with the LTS estimation method	5
A 2-stage elastic net algorithm for estimation of sparse networks with heavy-tailed data	5
Estimation for multivariate normal rapidly decreasing tempered stable distributions	5
Trustworthy regularized huber regression for outlier detection	5
Objective Bayesian inference for the Exponential-Logarithmic distribution	5
Enhancing process stability with robust charts using high breakdown point estimators in contaminated settings: an application in healthcare monitoring*	4
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 diseases	4
New biased estimators for the Conway–Maxwell-Poisson Model	4
Optimal and economic design of repetitive group sampling plan for assuring median life under new complementary Bell Weibull-distributed life time model	4
A VAE approach to sample multivariate extremes	4
On designing efficient memory-type charts using multiple auxiliary-information	4
Renewable ridge selection operator with streaming datasets	4
A new online learning algorithm for streaming data and decision support with a Bayesian approach	4
A new estimator of Kullback–Leibler information based on a local linear regression and its application in goodness-of-fit tests	4
Detection of anomalous behaviour using mixtures of von Mises distributions and an extension of the CUSUM algorithm	4
A new omnibus SPRT chart for monitoring process mean and variability based on the average number of observations to signal	4
Influence diagnostics for generalized CP tensor regression models	4
A Bayesian approach to semi-supervised domain adaptation in streaming data	4
An R package AZIAD for analysing zero-inflated and zero-altered data	4
Identifying one-inflation in regression models for ratio estimators in single-source capture-recapture problems	4
Support vector machine in ultrahigh-dimensional feature space	4
Principal components regression based on kernel smoothing for semiparametric models with multicollinearity	4
Are information criteria good enough to choose the right number of regimes in hidden Markov models?	4
Functional data clustering via information maximization	4
Estimation of process capability index ℂ s based on multiple interval type I censored samples usin	4
Bayesian adaptive lasso for the generalized Poisson hurdle model	4
Optimization of functional diagnostic test: the effect of kernel method as an estimator of ROC curve	4
An MCMC algorithm for bounded count time series hysteretic models with an application to disease infection	4
Penalized empirical likelihood for high-dimensional generalized linear models with longitudinal data	4
An alternating direction method of multipliers algorithm for the weighted fused LASSO signal approximator	4
Weighted penalized m-estimators in robust ridge regression: an application to gasoline consumption data	4
On solving some stochastic delay differential equations by Daubechies wavelet	4
Bayesian and classical estimation of PCI ℂ s under multiple interval type-II censoring with log-lo	4
On the use of mean square error and directional forecast accuracy for model selection: a simulation study	4
Classification rule for two normal populations with a common mean based on likelihood accordance and Bayes estimators	4
Model-assisted estimators based on clustered coefficient linear regression models in small area estimation	4
Fast optimization methods for high-dimensional row-sparse multivariate quantile linear regression	3
Fractional Brownian motion for modeling phylogenetic trait evolution: a computational framework for long-term dependencies	3
Iteratively reweighted least square for kernel expectile regression with random features	3
Estimating autoRegressive processes with positive white noise	3
Introduction of robust multivariate process capability indices	3
Systematically missing data in distributed data networks: multiple imputation when data cannot be pooled	3
Distribution-free Phase II Shewhart control chart for joint monitoring of location and scale based on max-type statistic	3
A new algorithm for the maximum likelihood estimator in Erlang mixtures	3
A simple consistent Bayes factor for testing the Kendall rank correlation coefficient	3
Enhanced parameter estimation for stable SDEs with jumps via quadratic variation	3
Analysis of adaptive type-II progressively hybrid censoring with binomial removals	3
Best subset selection with shrinkage: sparse additive hazards regression with the grouping effect	3
Exploring dimension learning via a penalized probabilistic principal component analysis	3
Support vector machine analysis under right censored data	3
Bayesian factor zero-inflated Poisson model for multiple grouped count data	3
A Bayesian hybrid method for the analysis of generalized linear models with missing-not-at-random covariates	3
Exact likelihood inference for two exponential populations under joint progressively Type-II competing risks data	3
Construction of fuzzy X¯−S control chart using trapezoidal fuzzy number with unbalanced data	3
Online updating estimation for heterogenous updating generalized linear models with streaming datasets	3
Estimation of non-Gaussian SVAR models: a pseudo-log-likelihood function approach	3
A search for short-period Tausworthe generators over Fb with application to Markov chain quasi-Monte Carlo	3
Two new schemes for group-wise monitoring of multivariate data and diagnosis of out-of-control individuals	3
Bayesian additive regression trees in spatial data analysis with sparse observations	3
Joint composite quantile regression modeling analysis of multivariate longitudinal data with its application to A liver cirrhosis dataset	3
Higher-order spatial autoregressive partially linear varying coefficient models	3
Multiple imputation based on the support vector machine for high-dimensional data with general missing patterns in causal inference	3

Bayesian estimation of stochastic volatility jump diffusion model parameters using S&P 500 and VIX data	3
Confidence intervals for risk difference of two independent negative binomial proportions using method of variance estimates recovery	3
Variable selection for nonparametric Tobit model via deep learning	3
Monitoring of zero-inflated COM-Poisson processes	3
Finite-sample performance of the T- and W-estimators for the Pareto tail index under data truncation and censoring	3
Modeling count data with zero inflation, overdispersion, underdispersion, and multicollinearity using a zero-inflated Conway–Maxwell Poisson Liu-type regression	3
On the non-central Dirichlet distribution	3
Diagnostic analystics in the Bayesian vector autoregressive model	3
On periodic integer-valued moving average (INMA (q)) models	3
Robust hypothesis testing in functional linear models	3
Nonparametric estimation of the stress-strength reliability using its quantile-based representation	3
Effective comparison of two potentially crossing hazard rate curves	3
Single and dual reference-free CUSCORE charts for detecting unknown patterned mean shifts	3
A communication-efficient method for ℓ0 regularization linear regression models	3
An improved EM algorithm for variable selection with missing data in spatial error models	3
A novel and efficient estimation of population mean using auxiliary information under simple random sampling in sample surveys	3
Principal components regression estimators under biased stochastic linear restrictions	3
Maximum likelihood estimators and properties of the parameters of the Power Ailamujia distribution under ranked set sampling	3
Inference in multivariate regression models with measurement errors	3
A novel Bayesian computational approach for bridge-randomized quantile regression in high dimensional models	3
Numerical algorithms for the asymptotic mean and variance of linear spectral statistics of high-dimensional correlation matrices	3
Robust empirical likelihood inference for partially linear varying coefficient models with longitudinal data	3
Regression with missing data, a comparison study of techniques based on random forests	3
Improved estimators for analyzing highly skewed environmental datasets with detection limits	3
Robust transfer learning for high-dimensional regression with linear constraints	3
Statistical inference on stress-strength reliability of cold standby systems using discrete phase type distribution	3
A new approach in modelling the circular data: circular ridge estimator	3
Correction	3
Fisher-Rao distance between truncated distributions and robustness analysis in uncertainty quantification	3
Renewable estimation in expectile regression model with streaming data sets	3
Design and evaluation of an enhanced nonparametric EWMA sign control chart for effective monitoring of industrial processes	3
Scaling tests of Benford's law	3
Disagreement based variable selection method for high-dimensional censored data	3
A threshold mixed-effects Tobit model for treatment-sensitive subgroup identification based on longitudinal measures with floor and ceiling effects and a continuous covariate	3