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	28
Directed likelihood statistic to test the concentration parameter in von Mises regressions	24
The competencies of a new bathtub model and development of control charts with the application of lifetime data	22
New control schemes for the Rayleigh distribution process based on the likelihood ratio test	18
Quantile adaptive lasso: variable selection for quantile treatment effect estimation	18
To improve the performance of genetic algorithms by using a novel selection operator	17
Time-varying spatio-temporal models by wavelets	16
The uncertain exponential Ornstein–Uhlenbeck option pricing model considering interest rate risk: evidence from the Chinese stock options market	15
System reliability-redundancy optimization with cold-standby strategy by fitness-distance balance stochastic fractal search algorithm	15
Bayesian estimation of Gegenbauer processes	14
Optimal Bayesian sampling plan for censored competing risks data	13
Composite quantile regression for heteroscedastic partially linear varying-coefficient models with missing censoring indicators	13
Combined Shewhart-EWMA and Shewhart-CUSUM schemes for monitoring the ratio of two normal variables	12
Correction	12
Modeling offence counts with a class of mixed integer-valued autoregressive models with dynamic mixing probabilities	11
A flexible integer-valued AR(1) process: estimation, forecasting and modeling COVID-19 data	11
Towards U-statistics clustering inference for multiple groups	11
Influence diagnostics in Gamma–Pareto ridge regression model	10
Efficient and distribution-free charts for monitoring the process location for individual observations	10
Stability of principal components under normal and non-normal parent populations and different covariance structures scenarios	10
Extending finite mixture models with skew-normal distributions and hidden Markov models for time series	9
Recurrent neural network for complex survival problems	9
A new composite Mann-Whitney test for two-sample survival comparisons with right-censored data	9
A Cox-optimized survival model based on GrowNet	9
Variable selection and estimation for recurrent event model with covariates subject to measurement error	9

Bayesian exponential random graph models under the horseshoe prior	9
A new confidence interval for the ratio of two normal means and comparisons	9
A score test for detecting extreme values in a vector autoregressive model	8
Multiple ‘memory-based’ schemes for monitoring Maxwell distributions with measurement errors	8
A new approach for data-driven surrogate modelling applied in highly nonlinear engineering functions	8
Exponentially weighted moving average chart using zero-inflated negative binomial distribution	8
On competing risk model under step-stress stage life testing	8
Generalized class of factor type exponential imputation techniques for population mean using simulation approach	8
Lower k -record values from unit-Gompertz distribution and associated inference	8
Joint AFT random-effect modeling approach for clustered competing-risks data	8
Hard-thresholding regularization method for high-dimensional heterogeneous models	8
Bayesian inference for pseudo-Poisson data	8
Minimum profile hellinger distance estimation of semiparametric multiple linear regression models	8
A two-sided SPRT control chart for process mean	8
Development of the Aslam-Ahmad estimator for the Cox proportional and hazards regression model with multicollinearity	8
Regression to the mean effect for bi-variate dispersed count data	8
A novel two-stage calibration framework for correlation estimation under multiplicative distortions	7
Bayesian and non-Bayesian reliability analysis with a new member of transmuted exponential-G family of distribution	7
LASSO–penalized clusterwise linear regression modelling: a two–step approach	7
Bivariate INAR(1) model under negative binomial innovations with non-homogeneous over-dispersed indices and application	7
Robustness assessment of pretest and shrinkage estimators in censored semiparametric linear models	7
On the vector-valued generalized autoregressive models	7
Robust estimation for general integer-valued autoregressive models based on the exponential-polynomial divergence	7
Multilevel multinomial logit regression model with random effects: application to flash EuroBarometer euro survey data	7
Non-randomized scrambling models for sensitive quantitative attribute using innocuous characteristics	7
Uniformly strong consistency of the generalized edge frequency polygon density estimator under extended negatively dependent samples	7
Asymptotic inference for moderate deviations from a unit root of nearly unstable INAR(1) processes	7
clrng: a tool set for parallel random number generation on GPUs in R	7
Inferential and predictive procedures for inverse gamma regression model	7
Approximate Bayesian analysis for c-vine copula-based dependent model with multiple competing risks	6
Parametric estimation of PCI C * pm under doubly type II censored sampling scheme with application to	6
Test for conditional Poissonity in integer-valued conditional autoregressive models	6
Implementation of weighted RBM feature-based ensemble deep learning network for malicious intrusion detection in industrial control systems using enhanced heuristic mechanism	6
Estimation of multicomponent stress–strength reliability based on unit Burr XII distribution: an application to dam occupancy rate of Istanbul, Turkey	6
A critical review of univariate non-parametric estimation of first derivatives	6
Estimate of a volatility's common component in ARSV models: a simulation study	6
Identifying the time of step change in process parameter for Maxwell distribution	6
Variable selection for zero-inflated Poisson regression model	6
Power analysis for zero-inflated Poisson and negative binomial generalized linear models using Monte Carlo simulation	6
Subset estimators for spherical mean: effect of contamination and exact algorithm for computation	6
Improving computational robustness in log-likelihood maximization for binary outcomes	6
Correction	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
Robust variable selection under cellwise contamination	6
Improved estimation in a multivariate regression with measurement error	6
Depth for samples of sets with applications to testing equality in distribution of two samples of random sets	5
Reliable simulation of extremely-truncated log-concave distributions	5
A regression tree method for longitudinal and clustered data with multivariate responses	5

Joint modelling location and scale with the LTS estimation method	5
A comparison of supersaturated designs and orthogonal arrays	5
Efficient estimation in varying coefficient regression models	5
Estimation for multivariate normal rapidly decreasing tempered stable distributions	5
TV-CCANM: a transformer variational inference in confounding cascade additive noise model for causal effect estimation	5
Optimal two-sided tests and confidence regions for Conway–Maxwell–Poisson parameters	5
An ensemble learning method for variable selection: application to high-dimensional data and missing values	5
A new model for the reliability-redundancy allocation problem under the K-mixed redundancy strategy	5
An uniformly superior exact multi-sample test procedure for homogeneity of variances under location-scale family of distributions	5
Bootstrap bandwidth selection for the pair correlation function of inhomogeneous spatial point processes	5
Objective Bayesian inference for the Exponential-Logarithmic distribution	5
Bayesian estimation of a quantile-based factor model	5
Mixture modeling, heavy tailedness, asymmetry and conditional heteroskedasticity in financial returns modelling	5
Bayesian jackknife empirical likelihood for the error variance in linear regression models	5
Model-based clustering via skewed matrix-variate cluster-weighted models	5
Trustworthy regularized huber regression for outlier detection	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
A convergent wavelet-based method for solving linear stochastic differential equations included 1D and 2D noise	5
Heavy tail index estimation for block data	5
Bayesian analysis for varying coefficient autoregressive models	5
A VAE approach to sample multivariate extremes	4
On designing efficient memory-type charts using multiple auxiliary-information	4
Model-assisted estimators based on clustered coefficient linear regression models in small area estimation	4
Parametric and nonparametric versions of adaptive CUSUM charts for monitoring the location of individual measurements	4
Quantifying uncertainty of subsampling-based ensemble methods under a U-statistic framework	4
Classification rule for two normal populations with a common mean based on likelihood accordance and Bayes estimators	4
A 2-stage elastic net algorithm for estimation of sparse networks with heavy-tailed data	4
Optimization of functional diagnostic test: the effect of kernel method as an estimator of ROC curve	4
Robust testing of time trend and mean with unknown integration order errors	4
Statistical inference on stress-strength reliability of cold standby systems using discrete phase type distribution	4
An MCMC algorithm for bounded count time series hysteretic models with an application to disease infection	4
Optimal and economic design of repetitive group sampling plan for assuring median life under new complementary Bell Weibull-distributed life time model	4
Exploring dimension learning via a penalized probabilistic principal component analysis	4
Bayesian adaptive lasso for the generalized Poisson hurdle model	4
An effective class of estimators for population mean estimation in successive sampling using simulation approach	4
Penalized empirical likelihood for high-dimensional generalized linear models with longitudinal data	4
Weighted penalized m-estimators in robust ridge regression: an application to gasoline consumption data	4
Estimation of process capability index ℂ s based on multiple interval type I censored samples usin	4
Are information criteria good enough to choose the right number of regimes in hidden Markov models?	4
An R package AZIAD for analysing zero-inflated and zero-altered data	4
An alternating direction method of multipliers algorithm for the weighted fused LASSO signal approximator	4
New biased estimators for the Conway–Maxwell-Poisson Model	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
A new omnibus SPRT chart for monitoring process mean and variability based on the average number of observations to signal	4
Identifying one-inflation in regression models for ratio estimators in single-source capture-recapture problems	4
A new estimator of Kullback–Leibler information based on a local linear regression and its application in goodness-of-fit tests	4
Influence diagnostics for generalized CP tensor regression models	4
Support vector machine in ultrahigh-dimensional feature space	4
A new online learning algorithm for streaming data and decision support with a Bayesian approach	4
On the use of mean square error and directional forecast accuracy for model selection: a simulation study	4
On solving some stochastic delay differential equations by Daubechies wavelet	4
Functional data clustering via information maximization	4
Detection of anomalous behaviour using mixtures of von Mises distributions and an extension of the CUSUM algorithm	4
Principal components regression based on kernel smoothing for semiparametric models with multicollinearity	4
A Bayesian approach to semi-supervised domain adaptation in streaming data	4
Enhancing process stability with robust charts using high breakdown point estimators in contaminated settings: an application in healthcare monitoring*	4
Correction	3
Maximum likelihood estimators and properties of the parameters of the Power Ailamujia distribution under ranked set sampling	3
Numerical algorithms for the asymptotic mean and variance of linear spectral statistics of high-dimensional correlation matrices	3
Evaluation performance of time series methods in demand forecasting: Box-Jenkins vs artificial neural network (Case study: Automotive Parts industry)	3
Bayesian factor zero-inflated Poisson model for multiple grouped count data	3
Single and dual reference-free CUSCORE charts for detecting unknown patterned mean shifts	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
Best subset selection with shrinkage: sparse additive hazards regression with the grouping effect	3
Fractional Brownian motion for modeling phylogenetic trait evolution: a computational framework for long-term dependencies	3
Distribution-free Phase II Shewhart control chart for joint monitoring of location and scale based on max-type statistic	3
Improved estimators for analyzing highly skewed environmental datasets with detection limits	3
Renewable estimation in expectile regression model with streaming data sets	3
A new approach in modelling the circular data: circular ridge estimator	3
A simple consistent Bayes factor for testing the Kendall rank correlation coefficient	3
A novel Bayesian computational approach for bridge-randomized quantile regression in high dimensional models	3
Regression with missing data, a comparison study of techniques based on random forests	3
A new algorithm for the maximum likelihood estimator in Erlang mixtures	3
A search for short-period Tausworthe generators over Fb with application to Markov chain quasi-Monte Carlo	3
A novel and efficient estimation of population mean using auxiliary information under simple random sampling in sample surveys	3
Review of Bayesian books in Bayesian statistics	3
Exact likelihood inference for two exponential populations under joint progressively Type-II competing risks data	3
Disagreement based variable selection method for high-dimensional censored data	3

A communication-efficient method for ℓ0 regularization linear regression models	3
Analysis of adaptive type-II progressively hybrid censoring with binomial removals	3
Systematically missing data in distributed data networks: multiple imputation when data cannot be pooled	3
Iteratively reweighted least square for kernel expectile regression with random features	3
Monitoring of zero-inflated COM-Poisson processes	3
Confidence intervals for risk difference of two independent negative binomial proportions using method of variance estimates recovery	3
Bayesian estimation of stochastic volatility jump diffusion model parameters using S&P 500 and VIX data	3
Joint composite quantile regression modeling analysis of multivariate longitudinal data with its application to A liver cirrhosis dataset	3
On periodic integer-valued moving average (INMA (q)) models	3
Bayesian additive regression trees in spatial data analysis with sparse observations	3
Estimating autoRegressive processes with positive white noise	3
An improved EM algorithm for variable selection with missing data in spatial error models	3
Introduction of robust multivariate process capability indices	3
Principal components regression estimators under biased stochastic linear restrictions	3
Enhanced parameter estimation for stable SDEs with jumps via quadratic variation	3
A Bayesian hybrid method for the analysis of generalized linear models with missing-not-at-random covariates	3
Effective comparison of two potentially crossing hazard rate curves	3
Nonparametric estimation of the stress-strength reliability using its quantile-based representation	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
Robust transfer learning for high-dimensional regression with linear constraints	3
Fast optimization methods for high-dimensional row-sparse multivariate quantile linear regression	3
Inference in multivariate regression models with measurement errors	3
Variable selection for nonparametric Tobit model via deep learning	3
On the non-central Dirichlet distribution	3
Finite-sample performance of the T- and W-estimators for the Pareto tail index under data truncation and censoring	3
Diagnostic analystics in the Bayesian vector autoregressive model	3
Robust hypothesis testing in functional linear models	3
Fisher-Rao distance between truncated distributions and robustness analysis in uncertainty quantification	3
Robust empirical likelihood inference for partially linear varying coefficient models with longitudinal data	3