Journal of Applied Statistics

Article	Citations
Improved maximum likelihood estimation of the shape-scale family based on the generalized progressive hybrid censoring scheme	35
An effective deep residual network based class attention layer with bidirectional LSTM for diagnosis and classification of COVID-19	32
The unit log–log distribution: a new unit distribution with alternative quantile regression modeling and educational measurements applications	29
Statistical models of near-accident event and pedestrian behavior at non-signalized intersections	28
Modified ridge-type for the Poisson regression model: simulation and application	27
Inference on Nadarajah–Haghighi distribution with constant stress partially accelerated life tests under progressive type-II censoring	25
Modeling the heterogeneity in COVID-19's reproductive number and its impact on predictive scenarios	21
A size-of-loss model for the negatively skewed insurance claims data: applications, risk analysis using different methods and statistical forecasting	18
An one-parameter compounding discrete distribution	17
Asymmetric autoregressive models: statistical aspects and a financial application under COVID-19 pandemic	16
Bayesian and non-Bayesian inference under adaptive type-II progressive censored sample with exponentiated power Lindley distribution	16
A new outlier detection method based on convex optimization: application to diagnosis of Parkinson’s disease	16
A new alternative quantile regression model for the bounded response with educational measurements applications of OECD countries	16
A one-parameter discrete distribution for over-dispersed data: statistical and reliability properties with applications	15
Machine learning and design of experiments with an application to product innovation in the chemical industry	15
An optimized machine learning technology scheme and its application in fault detection in wireless sensor networks	15
Data-driven choice of a model selection method in joinpoint regression	15
Inference of multicomponent stress-strength reliability following Topp-Leone distribution using progressively censored data	14
Penalized likelihood approach for the four-parameter kappa distribution	14
Inference for partially observed competing risks model for Kumaraswamy distribution under generalized progressive hybrid censoring	13
Statistical inference of adaptive type II progressive hybrid censored data with dependent competing risks under bivariate exponential distribution	13
Improving logistic regression on the imbalanced data by a novel penalized log-likelihood function	12
Wavelet analysis of variance box plot	12
Monitoring the Weibull shape parameter under progressive censoring in presence of independent competing risks	12
A discrete analogue of odd Weibull-G family of distributions: properties, classical and Bayesian estimation with applications to count data	12

Unsupervised document classification integrating web scraping, one-class SVM and LDA topic modelling	11
Econometric models of duration data in entrepreneurship with an application to start-ups' time-to-funding by venture capitalists (VCs)	11
A homogeneously weighted moving average control chart for Conway–Maxwell Poisson distribution	11
A new class of efficient and debiased two-step shrinkage estimators: method and application	11
Reject inference methods in credit scoring	10
Forecasting drought using neural network approaches with transformed time series data	10
Estimation procedures and optimal censoring schemes for an improved adaptive progressively type-II censored Weibull distribution	10
Monitoring process mean and dispersion with one double generally weighted moving average control chart	9
Cause-specific hazard regression estimation for modified Weibull distribution under a class of non-informative priors	9
Threshold single multiplicative neuron artificial neural networks for non-linear time series forecasting	9
Mixed Lasso estimator for stochastic restricted regression models	9
Sequential asymmetric third order rotatable designs (SATORDs)	9
Time fused coefficient SIR model with application to COVID-19 epidemic in the United States	9
Comparing and integrating US COVID-19 data from multiple sources with anomaly detection and repairing	9
Estimation of stress–strength reliability for Marshall–Olkin distributions based on progressively Type-II censored samples	9
Estimation and prediction for Burr type III distribution based on unified progressive hybrid censoring scheme	8
The role of social capital in environmental protection efforts: evidence from Turkey	8
Generalized Poisson integer-valued autoregressive processes with structural changes	8
Inverse power Maxwell distribution: statistical properties, estimation and application	8
Parametric inference of the process capability index for exponentiated exponential distribution	8
Robust bootstrap prediction intervals for univariate and multivariate autoregressive time series models	7
Investigating zero-state and steady-state performance of MEWMA-CoDa control chart using variable sampling interval	7
A generalized likelihood ratio test for monitoring profile data	7
Statistical inference for Gompertz distribution under adaptive type-II progressive hybrid censoring	7
A Bayesian approach on the two-piece scale mixtures of normal homoscedastic nonlinear regression models	7
A spatio-temporal statistical model to analyze COVID-19 spread in the USA	7
A one-sided exponentially weighted moving average control chart for time between events	7
Some dominance indices to determine market concentration	6
A multivariate Poisson regression model for count data	6
Significance testing of rank cross-correlations between autocorrelated time series with short-range dependence	6
Determining the relationship between stock return and financial performance: an analysis on Turkish deposit banks	6
Three approaches to supervised learning for compositional data with pairwise logratios	6
Understanding students' evaluations of professors using non-negative matrix factorization	6
A comparative study of computation approaches of the generalized F-test	6
A bimodal Weibull distribution: properties and inference	6
Tail conditional moment for generalized skew-elliptical distributions	6
Exact inference for disease prevalence based on a test with unknown specificity and sensitivity	6
Stochastic cusp catastrophe model and its Bayesian computations	6
The optimized CUSUM and EWMA multi-charts for jointly detecting a range of mean and variance change	6
The CUSUM statistics of change-point models based on dependent sequences	6
kppmenet: combining the kppm and elastic net regularization for inhomogeneous Cox point process with correlated covariates	6
Statistical inference for distributions with one Poisson conditional	6
A novel outlier statistic in multivariate survival models and its application to identify unusual under-five mortality sub-districts in Malawi	6
On a log-symmetric quantile tobit model applied to female labor supply data	6
Identifying the cycles in COVID-19 infection: the case of Turkey	6
Directional monitoring and diagnosis for covariance matrices	5
Optimal designing of two-level skip-lot sampling reinspection plan	5
Robust autoregressive modeling and its diagnostic analytics with a COVID-19 related application	5
A fusion learning method to subgroup analysis of Alzheimer's disease	5
Hierarchical marketing mix models with sign constraints	5

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	5
Adaptive kernel scaling support vector machine with application to a prostate cancer image study	5
Semiparametric zero-inflated Bernoulli regression with applications	5
RETRACTED ARTICLE: A novel alpha power transformed exponential distribution with real-life applications	5
Robust clustering of COVID-19 cases across U.S. counties using mixtures of asymmetric time series models with time varying and freely indexed covariates	5
A mixture model with Poisson and zero-truncated Poisson components to analyze road traffic accidents in Turkey	5
Stress–strength reliability estimation involving paired observation with ties using bivariate exponentiated half-logistic model	5
Effect of non-normality on the monitoring of simple linear profiles in two-stage processes: a remedial measure for gamma-distributed responses	5
Empirical evaluation of sub-cohort sampling designs for risk prediction modeling	5
Rapid detection of hot-spots via tensor decomposition with applications to crime rate data	5
Inferential procedures based on the weighted Pearson correlation coefficient test statistic	5
Determination of new multiple deferred state sampling plan with economic perspective under Weibull distribution	5
Multivariate nonparametric methods in two-way balanced designs: performances and limitations in small samples	4
Efficient experimental design for dose response modelling	4
A new linearized ridge Poisson estimator in the presence of multicollinearity	4
Modeling multivariate cyber risks: deep learning dating extreme value theory	4
Bayesian approaches to variable selection in mixture models with application to disease clustering	4
Handling high-dimensional data with missing values by modern machine learning techniques	4
Detection of outliers in high-dimensional data using nu-support vector regression	4
The design of multiple crop insurance in Indonesia based on revenue risk using the copula model approach	4
A simple two-step procedure using the Fellegi–Sunter model for frequency-based record linkage	4
LIC criterion for optimal subset selection in distributed interval estimation	4
A survival tree based on stabilized score tests for high-dimensional covariates	4
Bayesian inference: Weibull Poisson model for censored data using the expectation–maximization algorithm and its application to bladder cancer data	4
Application of the skew exponential power distribution to ROC curves	4
Some Shrinkage estimators based on median ranked set sampling	4
Distribution-free Phase-I scheme for location, scale and skewness shifts with an application in monitoring customers' waiting time	4
Current status data with two competing risks and missing failure types: a parametric approach	4
Optimal bandwidth estimators of kernel density functionals for contaminated data	4
Risk analysis in the brazilian stock market: copula-APARCH modeling for value-at-risk	4
Regression modelling of interval censored data based on the adaptive ridge procedure	4
A new GEE method to account for heteroscedasticity using asymmetric least-square regressions	4
Monitoring SEIRD model parameters using MEWMA for the COVID-19 pandemic with application to the state of Qatar	4
Bayesian selector of adaptive bandwidth for multivariate gamma kernel estimator on [0,∞ )d	4
Confounding adjustment methods for multi-level treatment comparisons under lack of positivity and unknown model specification	4
Observed heterogeneity in players' football performance analysis using PLS-PM	4
Statistical inference for a relaxation index of stochastic dominance under density ratio model	4
The Kendall interaction filter for variable interaction screening in high dimensional classification problems	4
Applications of monitoring and tracing the evolution of clustering solutions in dynamic datasets	3
The new Neyman type A generalized odd log-logistic-G-family with cure fraction	3
On regime changes of COVID-19 outbreak	3
Model estimation and selection for partial linear varying coefficient EV models with longitudinal data	3
Analyzing evidence-based falls prevention data with significant missing information using variable selection after multiple imputation	3
A review of tests for exponentiality with Monte Carlo comparisons	3
Bias-corrected estimators for proportion of true null hypotheses: application of adaptive FDR-controlling in segmented failure data	3
Conservative confidence intervals for the intraclass correlation coefficient for clustered binary data	3
A model for bimodal rates and proportions	3
Estimation of time-varying kernel densities and chronology of the impact of COVID-19 on financial markets	3
Full Bayesian analysis of double seasonal autoregressive models with real applications	3
Spatio-temporal modeling of traffic accidents incidence on urban road networks based on an explicit network triangulation	3
Inverse Lindley power series distributions: a new compounding family and regression model with censored data	3
Intrinsic spherical smoothing method based on generalized Bézier curves and sparsity inducing penalization	3
Solving unobserved heterogeneity with latent class inflated Poisson regression model	3
Time-varying coefficient model estimation through radial basis functions	3
Local Linear Regression and the problem of dimensionality: a remedial strategy via a new locally adaptive bandwidths selector	3
Bootstrap aggregated classification for sparse functional data	3
Multi-resolution super learner for voxel-wise classification of prostate cancer using multi-parametric MRI	3
A method for detection of Mode-Mixing problem	3
Analyzing the impacts of socio-economic factors on French departmental elections with CoDa methods	3
Efficient accounting for estimation uncertainty in coherent forecasting of count processes	3
Efficient design of geographically-defined clusters with spatial autocorrelation	3
Variable selection for quantile autoregressive model: Bayesian methods versus classical methods	3
Robust inference for skewed data in health sciences	3
Continuity corrected score confidence interval for the difference in proportions in paired data	3
Dynamic Bayesian adjustment of anticipatory covariates in retrospective data: application to the effect of education on divorce risk	3
Improving the Hosmer-Lemeshow goodness-of-fit test in large models with replicated Bernoulli trials	3
Bayesian adaptive selection of basis functions for functional data representation	3
Joint modelling of longitudinal response and time-to-event data using conditional distributions: a Bayesian perspective	3
Quantification of model risk that is caused by model misspecification	3
Forecasting waved daily COVID-19 death count series with a novel combination of segmented Poisson model and ARIMA models	3
Markov (Set) chains application to predict mortality rates using extended Milevsky–Promislov generalized mortality models	3
A double generally weighted moving average control chart for monitoring the process variability	3
Noise-insensitive discriminative subspace fuzzy clustering	3
Forward variable selection for random forest models	3
Comparison of different estimation methods for extreme value distribution	3
Testing the reliability of forecasting systems	3
Statistical modeling of computer malware propagation dynamics in cyberspace	3
Distribution-free Phase II triple EWMA control chart for joint monitoring the process location and scale parameters	3
Hierarchical Bayesian spatio-temporal modeling of COVID-19 in the United States	3
Hot spot identification method based on Andrews curves: an application on the COVID-19 crisis effects on caregiver distress in neurocognitive disorder	3

Assessment of longevity risk: credibility approach	3
Hot-spots detection in count data by Poisson assisted smooth sparse tensor decomposition	2
A new flexible regression model with application to recovery probability Covid-19 patients	2
Analyzing partially paired data: when can the unpaired portion(s) be safely ignored?	2
Multicriteria decision frontiers for prescription anomaly detection over time	2
Bayesian semiparametric analysis on the relationship between BMI and income for rural and urban workers in China	2
A novel group VIF regression for group variable selection with application to multiple change-point detection	2
Bayes factor testing of equality and order constraints on measures of association in social research	2
Handling missing data in a composite outcome with partially observed components: simulation study based on clustered paediatric routine data	2
A Markov random field model with cumulative logistic functions for spatially dependent ordinal data	2
A hierarchical Bayesian analysis for bivariate Weibull distribution under left-censoring scheme	2
Negligible interaction test for continuous predictors	2
Semiparametric inference for the scale-mixture of normal partial linear regression model with censored data	2
Addressing overdispersion and zero-inflation for clustered count data via new multilevel heterogenous hurdle models	2
A generalized BLUE approach for combining location and scale information in a meta-analysis	2
An application of a non-homogeneous Poisson model to study PM2.5 exceedances in Mexico City and Bogota	2
Family of bivariate distributions on the unit square: theoretical properties and applications	2
A novel network architecture combining central-peripheral deviation with image-based convolutional neural networks for diffusion tensor imaging studies	2
A robust estimation method for the linear regression model parameters with correlated error terms and outliers	2
Log-mean distribution: applications to medical data, survival regression, Bayesian and non-Bayesian discussion with MCMC algorithm	2
Smoothing regression and impact measures for accidents of traffic flows	2
The Fay–Herriot model for multiply imputed data with an application to regional wealth estimation in Germany	2
Regularized regression when covariates are linked on a network: the 3CoSE algorithm	2
A method for optimizing text preprocessing and text classification using multiple cycles of learning with an application on shipbrokers emails	2
A hierarchical Bayesian approach for modeling the evolution of the 7-day moving average of the number of deaths by COVID-19	2
On correlation rank screening for ultra-high dimensional competing risks data	2
Isotonic regression for metallic microstructure data: estimation and testing under order restrictions	2
A Bayesian approach for the zero-inflated cure model: an application in a Brazilian invasive cervical cancer database	2
A novel perspective for parameter estimation of seemingly unrelated nonlinear regression	2
The re-parameterized inverse Gaussian regression to model length of stay of COVID-19 patients in the public health care system of Piracicaba, Brazil	2
Modelling and monitoring of INAR(1) process with geometrically inflated Poisson innovations	2
A characteristic function based circular distribution family and its goodness of fit : The flexible wrapped Linnik family	2
Estimation of the parameters of symmetric stable ARMA and ARMA–GARCH models	2
An endemic–epidemic beta model for time series of infectious disease proportions	2
Data-driven analysis of the simulations of the spread of COVID-19 under different interventions of China	2
Estimation in the partially nonlinear model by continuous optimization	2
Bayesian hierarchical models for linear networks	2
Efficient estimators with categorical ranked set samples: estimation procedures for osteoporosis	2
A latent space model and Hotelling's T2 control chart to monitor the networks of Covid-19 symptoms	2
Restricted calibration and weight trimming approaches for estimation of the population total in business statistics	2
Optimal B-robust estimators for the parameters of the power Lindley distribution	2
The optimal CUSUM control chart with a dynamic non-random control limit and a given sampling strategy for small samples sequence	2
Editorial	2
A practical two-sample test for weighted random graphs	2
A general class of trimodal distributions: properties and inference	2
Spatiotemporal nonhomogeneous poisson model with a seasonal component applied to the analysis of extreme rainfall	2
Latent trait models for perceived risk assessment using a Covid-19 data survey	2
Circular analyses of dates on patients with gastric carcinoma	2
The investigation of temperature data in Turkey’s Black Sea Region using functional data analysis	2
Confidence intervals for assessing equivalence of two treatments with combined unilateral and bilateral data	2
GWR-assisted integrated estimator of finite population total under two-phase sampling: a model-assisted approach	2
High precision implementation of Steck's recursion method for use in goodness-of-fit tests	2
Bayesian sample size determination for coefficient of variation of normal distribution	2
Nonparametric panel stationarity testing with an application to crude oil production	2
A three-part regression calibration to handle excess zeroes, skewness and heteroscedasticity in adjusting for measurement error in dietary intake data	2
Optimal partitioning for the proportional hazards model	2
The process of transferring negative impulses in capital markets – a wavelet analysis	2
Model-assisted estimation in high-dimensional settings for survey data	2
Adaptive resources allocation CUSUM for binomial count data monitoring with application to COVID-19 hotspot detection	2
Optimal design of stress levels in accelerated degradation testing for multivariate linear degradation models	2
Confidence intervals for ratios of means applied to corpus-based word frequency classes	1
A hidden Markov modeling approach combining objective measure of activity and subjective measure of self-reported sleep to estimate the sleep-wake cycle	1
Prediction and model evaluation for space–time data	1
Streaming constrained binary logistic regression with online standardized data	1
A resample-replace lasso procedure for combining high-dimensional markers with limit of detection	1
A Bayesian approach for de-duplication in the presence of relational data	1
Minimum regularized covariance determinant and principal component analysis-based method for the identification of high leverage points in high dimensional sparse data	1
Inference for a discretized stochastic logistic differential equation and its application to biological growth	1
Combining phenotypic and genomic data to improve prediction of binary traits	1
Structured sparse support vector machine with ordered features	1
Causal mediation analysis between resistance exercise and reduced risk of cardiovascular disease based on the Aerobics Center Longitudinal Study	1
Statistical estimation and comparison of group-specific bivariate correlation coefficients in family-type clustered studies	1
Diagnostic checks in time series models based on a new correlation coefficient of residuals	1
Performance of diagnostic tests based on continuous bivariate markers	1
Incomplete clustering analysis via multiple imputation	1
Evaluation of phase I clinical trial designs for combinational agents along with guidance based on simulation studies	1
Regression models using the LINEX loss to predict lower bounds for the number of points for approximating planar contour shapes	1
Robust estimation of models for longitudinal data with dropouts and outliers	1
Component selection for exponential power mixture models	1
On summary ROC curve for dichotomous diagnostic studies: an application to meta-analysis of COVID-19	1
Assessing the discriminatory power of loss given default models	1
An approach for knowledge acquisition from a survey data by conducting Bayesian network modeling, adopting the robust coplot method	1
A multivariate zero-inflated binomial model for the analysis of correlated proportional data	1
A continuous age-specific standardized mortality ratio for estimating the unascertained rates in the early epidemic of COVID-19 in different regions	1
A family of bimodal distributions generated by distributions with positive support	1
Type-II progressive censoring with GLM-based random removal mechanism dependent on the experimental conditions	1
A new heteroscedastic regression to analyze mass loss of wood in civil construction in Brazil	1
Bayesian analyses of an exponential-Poisson and related zero augmented type models	1
A first-order binomial-mixed Poisson integer-valued autoregressive model with serially dependent innovations	1
Classification of histogram-valued data with support histogram machines	1
Multipopulation mortality modelling and forecasting: the weighted multivariate functional principal component approaches	1
Joint modelling of mental health markers through pregnancy: a Bayesian semi-parametric approach	1
Migration and students' performance: detecting geographical differences following a curves clustering approach	1
MAP segmentation in Bayesian hidden Markov models: a case study	1
The efficient design of Nested Group Testing algorithms for disease identification in clustered data	1