Journal of Applied Statistics

Article	Citations
Point estimation and related classification problems for several Lindley populations with application using COVID-19 data	41
Kernel mixed and Kernel stochastic restricted ridge predictions in the partially linear mixed measurement error models: an application to COVID-19	38
Inference for depending competing risks from Marshall–Olikin bivariate Kies distribution under generalized progressive hybrid censoring	28
Spatio-temporal modeling of traffic accidents incidence on urban road networks based on an explicit network triangulation	28
K-Bessel regression model for speckled data	24
Bootstrapping a powerful mixed portmanteau test for time series	21
Distribution-free Phase II triple EWMA control chart for joint monitoring the process location and scale parameters	18
Circular analyses of dates on patients with gastric carcinoma	18
Estimating an executive summary of a time series: the tendency	18
Inference on exponentiated Rayleigh distribution with constant stress partially accelerated life tests under progressive type-II censoring	17
Diagnostics for categorical response models based on quantile residuals and distance measures	16
Inference under multivariate size-biased sampling	16
Testing the reliability of forecasting systems	16
Prediction and model evaluation for space–time data	16
Multicriteria decision frontiers for prescription anomaly detection over time	15
Monitoring SEIRD model parameters using MEWMA for the COVID-19 pandemic with application to the state of Qatar	15
Determination of new multiple deferred state sampling plan with economic perspective under Weibull distribution	15
A hierarchical Bayesian approach for modeling the evolution of the 7-day moving average of the number of deaths by COVID-19	15
Diagnostic checks in time series models based on a new correlation coefficient of residuals	14
Performance of diagnostic tests based on continuous bivariate markers	13
Functional principal component models for sparse and irregularly spaced data by Bayesian inference	13
A family of bimodal distributions generated by distributions with positive support	12
On diagnostic accuracy measure with cut-points criterion for ordinal disease classification based on concordance and discordance	12
Goodness of fit tests for random multigraph models	12
Application of the skew exponential power distribution to ROC curves	11

Confidence intervals for ratios of means applied to corpus-based word frequency classes	11
An integrated change point detection and online monitoring approach for the ratio of two variables using clustering-based control charts	10
Estimation procedures and optimal censoring schemes for an improved adaptive progressively type-II censored Weibull distribution	10
Non-proportional hazards model with a PVF frailty term: application with a melanoma dataset	9
Fast maximum likelihood estimation for general hierarchical models	9
Bayesian modeling framework for optimizing pre-hospital stroke triage decisions	9
Statistical methods for dynamic disease screening and spatio-temporal disease surveillance	9
Z-residual diagnostic tool for assessing covariate functional form in shared frailty models	9
A two-sample nonparametric test for one-sided location-scale alternative	9
Bayesian doubly robust estimation of causal effects for clustered observational data	7
Smoothing level selection for density estimators based on the moments	7
Latent class profile model with time-dependent covariates: a study on symptom patterning of patients for head and neck cancer	7
Estimation of time-varying kernel densities and chronology of the impact of COVID-19 on financial markets	7
A size-of-loss model for the negatively skewed insurance claims data: applications, risk analysis using different methods and statistical forecasting	7
Finding groups in data: an introduction to cluster analysis Finding groups in data: an introduction to cluster analysis , authored by Leonard Kaufman and Peter J. Rousse	7
Asymmetric autoregressive models: statistical aspects and a financial application under COVID-19 pandemic	7
Causal mediation analysis between resistance exercise and reduced risk of cardiovascular disease based on the Aerobics Center Longitudinal Study	6
Fast inference for robust nonlinear mixed-effects models	6
Optimal design of stress levels in accelerated degradation testing for multivariate linear degradation models	6
A hidden Markov modeling approach combining objective measure of activity and subjective measure of self-reported sleep to estimate the sleep-wake cycle	6
Regularized regression when covariates are linked on a network: the 3CoSE algorithm	6
On a log-symmetric quantile tobit model applied to female labor supply data	6
Smoothing regression and impact measures for accidents of traffic flows	6
Penalized robust learning for optimal treatment regimes with heterogeneous individualized treatment effects	6
Conservative confidence intervals for the intraclass correlation coefficient for clustered binary data	6
The efficient design of Nested Group Testing algorithms for disease identification in clustered data	6
Analysis of medians under two-way model with and without interaction for Birnbaum–Saunders distributed response	6
A new flexible regression model with application to recovery probability Covid-19 patients	6
A continuous age-specific standardized mortality ratio for estimating the unascertained rates in the early epidemic of COVID-19 in different regions	6
Classifying contaminated cell cultures using time series features	5
A novel group VIF regression for group variable selection with application to multiple change-point detection	5
Shrinkage estimation of fixed and random effects in linear quantile mixed models	5
Heteroscedastic partially linear model under skew-normal distribution with application in ragweed pollen concentration	5
TreeKDE: clustering multivariate data based on decision tree and using one-dimensional kernel density estimation	5
Incomplete clustering analysis via multiple imputation	5
A new family of quantile regression models applied to nutritional data	5
Stochastic cusp catastrophe model and its Bayesian computations	5
Identifying waves of COVID-19 mortality using skew normal curves	5
The re-parameterized inverse Gaussian regression to model length of stay of COVID-19 patients in the public health care system of Piracicaba, Brazil	5
A Markov random field model with cumulative logistic functions for spatially dependent ordinal data	5
Nonparametric estimation of mean residual lifetime in ranked set sampling with a concomitant variable	5
A multivariate zero-inflated binomial model for the analysis of correlated proportional data	5
Efficient design of geographically-defined clusters with spatial autocorrelation	5
Joint modelling of mental health markers through pregnancy: a Bayesian semi-parametric approach	5
Type-II progressive censoring with GLM-based random removal mechanism dependent on the experimental conditions	5
Three approaches to supervised learning for compositional data with pairwise logratios	4
A defective cure rate quantile regression model for male breast cancer data	4
Matching a discrete distribution by Poisson matching quantiles estimation	4
Forecasting economic growth by combining local linear and standard approaches	4
A robust distance-based approach for detecting multidimensional outliers	4

A general class of trimodal distributions: properties and inference	4
Hierarchical marketing mix models with sign constraints	4
Modeling bivariate geyser eruption system with covariate-adjusted recurrent event process	4
Efficient fully Bayesian approach to brain activity mapping with complex-valued fMRI data	4
MSE superiority of the unrestricted Stein-rule estimator in a regression model with a possible structural break	4
Combining phenotypic and genomic data to improve prediction of binary traits	4
Bayesian approaches to variable selection in mixture models with application to disease clustering	3
Robust multi-outcome regression with correlated covariate blocks using fused LAD-lasso	3
A Bayesian approach for de-duplication in the presence of relational data	3
Regression-based rectangular tolerance regions as reference regions in laboratory medicine	3
Correction Notice	3
Personalized treatment selection using observational data	3
Confounding adjustment methods for multi-level treatment comparisons under lack of positivity and unknown model specification	3
Model-based joint curve registration and classification	3
A comparison of single- and double-threshold ROC plots for mixture distributions	3
Assessing the discriminatory power of loss given default models	3
A hierarchical Bayesian analysis for bivariate Weibull distribution under left-censoring scheme	3
Parametric inference of the process capability index for exponentiated exponential distribution	3
Data-driven choice of a model selection method in joinpoint regression	3
Spot It!and balanced block designs: keys to better debate architecture for a plethora of candidates in presidential primaries?	3
Zero-inflated Poisson mixed model for longitudinal count data with informative dropouts	3
Minimum regularized covariance determinant and principal component analysis-based method for the identification of high leverage points in high dimensional sparse data	3
Dealing with missing data under stratified sampling designs where strata are study domains	3
A non-linear integer-valued autoregressive model with zero-inflated data series	3
Quantile regression model for interval-censored data with competing risks	3
A combined superiority and non-inferiority procedure for comparing predictive values of two diagnostic tests	3
Integrative analysis of high-dimensional quantile regression with contrasted penalization	3
The integrated nested Laplace approximation applied to spatial log-Gaussian Cox process models	3
A latent space model and Hotelling's T2 control chart to monitor the networks of Covid-19 symptoms	3
KCBC – a correlation-based method for co-localization analysis of super-resolution microscopy images using bivariate Ripley's K functions	3
Optimal design of variables switch-based sampling scheme for verifying Weibull distributed product lifetimes	3
Order selection in GARMA models for count time series: a Bayesian perspective	3
A survival tree based on stabilized score tests for high-dimensional covariates	3
Jointly modelling multiple transplant outcomes by a competing risk model via functional principal component analysis	3
Tests of covariate effects under finite Gaussian mixture regression models	3
Diagnostic analytics for the mixed Poisson INGARCH model with applications	3
A robust and efficient change point detection method for high-dimensional linear models	3
To impute or not? Testing multivariate normality on incomplete dataset: revisiting the BHEP test	3
Multipopulation mortality modelling and forecasting: the weighted multivariate functional principal component approaches	3
An approach for knowledge acquisition from a survey data by conducting Bayesian network modeling, adopting the robust coplot method	3
COVINet: a deep learning-based and interpretable prediction model for the county-wise trajectories of COVID-19 in the United States	2
Instrumental variable estimation for functional concurrent regression models	2
A control chart for bivariate discrete data monitoring	2
The zero-and-plus/minus-one inflated extended-Poisson distribution	2
Estimation for two Gompertz populations under a balanced joint progressive Type-II censoring scheme	2
Goodness-of-fit tests for the one-sided Lévy distribution based on quantile conditional moments	2
Review of the third edition of sampling: design and analysis	2
GWR-assisted integrated estimator of finite population total under two-phase sampling: a model-assisted approach	2
A new GEE method to account for heteroscedasticity using asymmetric least-square regressions	2
Parametric estimation of quantile versions of Zenga and D inequality curves: methodology and application to Weibull distribution	2
Developing predictive precision medicine models by exploiting real-world data using machine learning methods	2
Influence diagnostics in the Heckman selection models based on EM algorithms	2
A double generally weighted moving average control chart for monitoring the process variability	2
Regression modelling of interval censored data based on the adaptive ridge procedure	2
A Bayesian nonparametric model for bounded directional data on the positive orthant of the unit sphere	2
Comparing and integrating US COVID-19 data from multiple sources with anomaly detection and repairing	2
A robust latent CUSUM chart for monitoring customer attrition	2
Robust clustering of COVID-19 cases across U.S. counties using mixtures of asymmetric time series models with time varying and freely indexed covariates	2
Reliability analysis based on doubly-truncated and interval-censored data	2
Outcome-guided Bayesian clustering for disease subtype discovery using high-dimensional transcriptomic data	2
Statistical clustering of documents via stochastic blockmodels	2
Modeling multivariate cyber risks: deep learning dating extreme value theory	2
A first-order binomial-mixed Poisson integer-valued autoregressive model with serially dependent innovations	2
Monitoring process mean and dispersion with one double generally weighted moving average control chart	2
Competing risks proportional-hazards cure model and generalized extreme value regression: an application to bank failures and acquisitions in the United States	2
Pathway-based genetic association analysis for overdispersed count data	2
A bivariate load-sharing model	2
Modeling the time to dropout under phase-wise variable stress fixed cohort setup	2
A robust Bayesian latent position approach for community detection in networks with continuous attributes	2
Inference for a discretized stochastic logistic differential equation and its application to biological growth	2
Estimating software reliability using size-biased modelling	2
A more powerful test for three-arm non-inferiority via risk difference: Frequentist and Bayesian approaches	2
Bimodality in reentry latitude predictions for spacecraft in prograde orbits	2
Current status data with two competing risks and time-dependent missing failure types	2
A novel ranked k -nearest neighbors algorithm for missing data imputation	2
Sparse kernel k -means clustering	2
A novel Phase II single-arm hybrid design to minimize trial duration and enhance subsequent Phase III trial success rate	2
Multiple comparisons of treatment against control under unequal variances using parametric bootstrap	2
Goodness-of-fit test for the one-sided Lévy distribution	2
Estimation and selection in linear mixed models with missing data under compound symmetric structure	2

Regression models using the LINEX loss to predict lower bounds for the number of points for approximating planar contour shapes	2
Post-shrinkage strategies in statistical and machine learning for high dimensional data	2
Time series modelling methods to forecast the volume of self-assessment tax returns in the UK	2
Bayesian heterogeneity in a meta–analysis with two studies and binary data	2
A unit-level one-inflated beta model for small area prediction of seat-belt use rates	2
Forecasting waved daily COVID-19 death count series with a novel combination of segmented Poisson model and ARIMA models	2
Alternative statistical modeling for radical prostatectomy data	2
Some properties of stop-loss moments under biased sampling	2
The modified slash Lindley–Weibull distribution with applications to nutrition data	2
The spike-and-slab lasso and scalable algorithm to accommodate multinomial outcomes in variable selection problems	2
Estimation of world seroprevalence of SARS-CoV-2 antibodies	2
The generalized odd log-logistic-G regression with interval-censored survival data	2
Testing for genetic mutation of seasonal influenza virus	1
A discrete Weibull proportional odds survival model	1
Complexities of information sources	1
A multivariate spatiotemporal model for tracking COVID-19 incidence and death rates in socially vulnerable populations	1
Bayesian adaptive selection of basis functions for functional data representation	1
A one-sided exponentially weighted moving average control chart for time between events	1
Exact inference for disease prevalence based on a test with unknown specificity and sensitivity	1
Editorial to the special issue: Recent statistical methods for data analysis, applied economics, business & finance	1
A novel two-way functional linear model with applications in human mortality data analysis	1
Iterative smoothing for change-point regression function estimation	1
Parameter estimation for stable distributions and their mixture	1
New results on optimal conditional error functions for adaptive two-stage designs	1
The relationship between moderate to vigorous physical activity and metabolic syndrome: a Bayesian measurement error approach	1
A method for optimizing text preprocessing and text classification using multiple cycles of learning with an application on shipbrokers emails	1
Mixed-level designs with orthogonality and relatively optimal run order	1
Time-varying coefficient model estimation through radial basis functions	1
Prediction models with graph kernel regularization for network data	1
Monitoring the inverted exponentiated half logistic quantiles under the adaptive progressive type II hybrid censoring scheme	1
On summary ROC curve for dichotomous diagnostic studies: an application to meta-analysis of COVID-19	1
An R tool for computing and evaluating Fuzzy poverty indices: The package FuzzyPovertyR	1
A finite mixture mixed proportion regression model for classification problems in longitudinal voting data	1
On regime changes of COVID-19 outbreak	1
Forward variable selection for random forest models	1
LIC criterion for optimal subset selection in distributed interval estimation	1
Ultrastructural calibration model for proficiency testing	1
Generalized Poisson integer-valued autoregressive processes with structural changes	1
Reject inference methods in credit scoring	1
Semiparametric partial linear modeling of risk factors for ear infections: the Early Childhood Longitudinal Study	1
Predicting dichotomised outcomes from high-dimensional data in biomedicine	1
Editorial to the special issue: modern streaming data analytics	1
Geometric framework for statistical analysis of eye tracking heat maps, with application to a tobacco waterpipe study	1
An exact projection pursuit-based algorithm for multivariate two-sample nonparametric testing applicable to retrospective and group sequential studies	1
Assessing adult physical activity and compliance with 2008 CDC guidelines using a Bayesian two-part measurement error model	1
A statistical testing procedure for validating class labels	1
Component selection for exponential power mixture models	1
Ensemble and calibration multiply robust estimation for quantile treatment effect	1
A novel M-Lognormal–Burr regression model with varying threshold for modeling heavy-tailed claim severity data	1
Classification of histogram-valued data with support histogram machines	1
Identification of outlying observations for large-dimensional data	1
Adapting and evaluating deep-pseudo neural network for survival data with time-varying covariates	1
Testing nonlinearity of heavy-tailed time series	1
Estimation of accelerated hazards models based on case K informatively interval-censored failure time data	1
A fusion learning method to subgroup analysis of Alzheimer's disease	1
Reparametrized generalized gamma partially linear regression with application to breast cancer data	1
Interpretable, predictive spatio-temporal models via enhanced pairwise directions estimation	1
Classification and severity progression measure of COVID-19 patients using pairs of multi-omic factors	1
Robust parameter estimation and variable selection in regression models for asymmetric heteroscedastic data	1
Functional distributional clustering using spatio-temporal data	1
A Lindley–binomial model for analyzing the proportions with sparseness and excessive zeros	1
New insights into multicollinearity in the Cox proportional hazard models: the Kibria-Lukman estimator and its application	1
A flexible test for early-stage studies with multiple endpoints	1
The heterogeneity effect of surveillance intervals on progression free survival	1
Applications of monitoring and tracing the evolution of clustering solutions in dynamic datasets	1
Local Linear Regression and the problem of dimensionality: a remedial strategy via a new locally adaptive bandwidths selector	1
Multiple observers ranked set samples for shrinkage estimators	1
kppmenet: combining the kppm and elastic net regularization for inhomogeneous Cox point process with correlated covariates	1
Robust estimation and bias-corrected empirical likelihood in generalized linear models with right censored data	1
Elastic statistical analysis of interval-valued time series	1
Mixed Lasso estimator for stochastic restricted regression models	1
Estimating linear mixed effect models with non-normal random effects through saddlepoint approximation and its application in retail pricing analytics	1
Penalized likelihood methods for modeling count data	1
Doubly multivariate linear models with block exchangeable distributed errors and site-dependent covariates	1
A novel outlier statistic in multivariate survival models and its application to identify unusual under-five mortality sub-districts in Malawi	1
Testing serial correlation in a general d -factor model with possible infinite variance	1
Monitoring the Weibull shape parameter under progressive censoring in presence of independent competing risks	1
A resample-replace lasso procedure for combining high-dimensional markers with limit of detection	1
Improvedkth power expectile regression with nonignorable dropouts	1
An optimized machine learning technology scheme and its application in fault detection in wireless sensor networks	1
An improved agricultural household margin insurance scheme with insured–insurer risk protection: a time-varying copula approach	1
Joint modeling of an outcome variable and integrated omics datasets using GLM-PO2PLS	1
An adjusted partial least squares regression framework to utilize additional exposure information in environmental mixture data analysis	1
Optimal Poisson subsampling decorrelated score for high-dimensional generalized linear models	1
Model averaging in calibration of near-infrared instruments with correlated high-dimensional data	1
Hierarchical Bayesian models for small area estimation with GB2 distribution	1
Inference on moderation effect with third-variable effect analysis – application to explore the trend of racial disparity in oncotype dx test for breast cancer treatment	1
Compound truncated Poisson gamma distribution for understanding multimodal SAR intensities	1
On detecting the effect of exposure mixture	1
Significance testing of rank cross-correlations between autocorrelated time series with short-range dependence	1
Sparse regression for low-dimensional time-dynamic varying coefficient models with application to air quality data	1
A supervised weeding method to cluster high dimensional predictors with application to job market analysis	1
Clustering in point processes on linear networks using nearest neighbour volumes	1
Detection and estimation of multiple transient changes	1
A test for comparing conditional ROC curves with multidimensional covariates	1