Journal of Applied Statistics

Papers
(The TQCC of Journal of Applied Statistics 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 2020-11-01 to 2024-11-01.)
ArticleCitations
Improved maximum likelihood estimation of the shape-scale family based on the generalized progressive hybrid censoring scheme35
An effective deep residual network based class attention layer with bidirectional LSTM for diagnosis and classification of COVID-1932
The unit log–log distribution: a new unit distribution with alternative quantile regression modeling and educational measurements applications29
Statistical models of near-accident event and pedestrian behavior at non-signalized intersections28
Modified ridge-type for the Poisson regression model: simulation and application27
Inference on Nadarajah–Haghighi distribution with constant stress partially accelerated life tests under progressive type-II censoring25
Modeling the heterogeneity in COVID-19's reproductive number and its impact on predictive scenarios21
A size-of-loss model for the negatively skewed insurance claims data: applications, risk analysis using different methods and statistical forecasting18
An one-parameter compounding discrete distribution17
A new alternative quantile regression model for the bounded response with educational measurements applications of OECD countries16
Asymmetric autoregressive models: statistical aspects and a financial application under COVID-19 pandemic16
Bayesian and non-Bayesian inference under adaptive type-II progressive censored sample with exponentiated power Lindley distribution16
A new outlier detection method based on convex optimization: application to diagnosis of Parkinson’s disease16
Data-driven choice of a model selection method in joinpoint regression15
A one-parameter discrete distribution for over-dispersed data: statistical and reliability properties with applications15
Machine learning and design of experiments with an application to product innovation in the chemical industry15
An optimized machine learning technology scheme and its application in fault detection in wireless sensor networks15
Penalized likelihood approach for the four-parameter kappa distribution14
Inference of multicomponent stress-strength reliability following Topp-Leone distribution using progressively censored data14
Statistical inference of adaptive type II progressive hybrid censored data with dependent competing risks under bivariate exponential distribution13
Inference for partially observed competing risks model for Kumaraswamy distribution under generalized progressive hybrid censoring13
A discrete analogue of odd Weibull-G family of distributions: properties, classical and Bayesian estimation with applications to count data12
Improving logistic regression on the imbalanced data by a novel penalized log-likelihood function12
Wavelet analysis of variance box plot12
Monitoring the Weibull shape parameter under progressive censoring in presence of independent competing risks12
A new class of efficient and debiased two-step shrinkage estimators: method and application11
Unsupervised document classification integrating web scraping, one-class SVM and LDA topic modelling11
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 distribution11
Reject inference methods in credit scoring10
Forecasting drought using neural network approaches with transformed time series data10
Estimation procedures and optimal censoring schemes for an improved adaptive progressively type-II censored Weibull distribution10
Estimation of stress–strength reliability for Marshall–Olkin distributions based on progressively Type-II censored samples9
Monitoring process mean and dispersion with one double generally weighted moving average control chart9
Cause-specific hazard regression estimation for modified Weibull distribution under a class of non-informative priors9
Threshold single multiplicative neuron artificial neural networks for non-linear time series forecasting9
Mixed Lasso estimator for stochastic restricted regression models9
Sequential asymmetric third order rotatable designs (SATORDs)9
Time fused coefficient SIR model with application to COVID-19 epidemic in the United States9
Comparing and integrating US COVID-19 data from multiple sources with anomaly detection and repairing9
Inverse power Maxwell distribution: statistical properties, estimation and application8
Parametric inference of the process capability index for exponentiated exponential distribution8
Estimation and prediction for Burr type III distribution based on unified progressive hybrid censoring scheme8
The role of social capital in environmental protection efforts: evidence from Turkey8
Generalized Poisson integer-valued autoregressive processes with structural changes8
A spatio-temporal statistical model to analyze COVID-19 spread in the USA7
A one-sided exponentially weighted moving average control chart for time between events7
Robust bootstrap prediction intervals for univariate and multivariate autoregressive time series models7
Investigating zero-state and steady-state performance of MEWMA-CoDa control chart using variable sampling interval7
A generalized likelihood ratio test for monitoring profile data7
Statistical inference for Gompertz distribution under adaptive type-II progressive hybrid censoring7
A Bayesian approach on the two-piece scale mixtures of normal homoscedastic nonlinear regression models7
Statistical inference for distributions with one Poisson conditional6
A novel outlier statistic in multivariate survival models and its application to identify unusual under-five mortality sub-districts in Malawi6
On a log-symmetric quantile tobit model applied to female labor supply data6
Identifying the cycles in COVID-19 infection: the case of Turkey6
Some dominance indices to determine market concentration6
A multivariate Poisson regression model for count data6
Significance testing of rank cross-correlations between autocorrelated time series with short-range dependence6
Determining the relationship between stock return and financial performance: an analysis on Turkish deposit banks6
Three approaches to supervised learning for compositional data with pairwise logratios6
Understanding students' evaluations of professors using non-negative matrix factorization6
A comparative study of computation approaches of the generalized F-test6
A bimodal Weibull distribution: properties and inference6
Tail conditional moment for generalized skew-elliptical distributions6
Exact inference for disease prevalence based on a test with unknown specificity and sensitivity6
Stochastic cusp catastrophe model and its Bayesian computations6
The optimized CUSUM and EWMA multi-charts for jointly detecting a range of mean and variance change6
The CUSUM statistics of change-point models based on dependent sequences6
kppmenet: combining the kppm and elastic net regularization for inhomogeneous Cox point process with correlated covariates6
Effect of non-normality on the monitoring of simple linear profiles in two-stage processes: a remedial measure for gamma-distributed responses5
Empirical evaluation of sub-cohort sampling designs for risk prediction modeling5
Rapid detection of hot-spots via tensor decomposition with applications to crime rate data5
Inferential procedures based on the weighted Pearson correlation coefficient test statistic5
Determination of new multiple deferred state sampling plan with economic perspective under Weibull distribution5
Directional monitoring and diagnosis for covariance matrices5
Optimal designing of two-level skip-lot sampling reinspection plan5
Robust autoregressive modeling and its diagnostic analytics with a COVID-19 related application5
A fusion learning method to subgroup analysis of Alzheimer's disease5
Hierarchical marketing mix models with sign constraints5
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. Rousse5
Adaptive kernel scaling support vector machine with application to a prostate cancer image study5
Semiparametric zero-inflated Bernoulli regression with applications5
RETRACTED ARTICLE: A novel alpha power transformed exponential distribution with real-life applications5
Robust clustering of COVID-19 cases across U.S. counties using mixtures of asymmetric time series models with time varying and freely indexed covariates5
A mixture model with Poisson and zero-truncated Poisson components to analyze road traffic accidents in Turkey5
Stress–strength reliability estimation involving paired observation with ties using bivariate exponentiated half-logistic model5
A new GEE method to account for heteroscedasticity using asymmetric least-square regressions4
Monitoring SEIRD model parameters using MEWMA for the COVID-19 pandemic with application to the state of Qatar4
Bayesian selector of adaptive bandwidth for multivariate gamma kernel estimator on [0,∞ )d4
Confounding adjustment methods for multi-level treatment comparisons under lack of positivity and unknown model specification4
Observed heterogeneity in players' football performance analysis using PLS-PM4
Statistical inference for a relaxation index of stochastic dominance under density ratio model4
The Kendall interaction filter for variable interaction screening in high dimensional classification problems4
Multivariate nonparametric methods in two-way balanced designs: performances and limitations in small samples4
Efficient experimental design for dose response modelling4
A new linearized ridge Poisson estimator in the presence of multicollinearity4
Modeling multivariate cyber risks: deep learning dating extreme value theory4
Bayesian approaches to variable selection in mixture models with application to disease clustering4
Handling high-dimensional data with missing values by modern machine learning techniques4
Detection of outliers in high-dimensional data using nu-support vector regression4
The design of multiple crop insurance in Indonesia based on revenue risk using the copula model approach4
A simple two-step procedure using the Fellegi–Sunter model for frequency-based record linkage4
LIC criterion for optimal subset selection in distributed interval estimation4
A survival tree based on stabilized score tests for high-dimensional covariates4
Bayesian inference: Weibull Poisson model for censored data using the expectation–maximization algorithm and its application to bladder cancer data4
Application of the skew exponential power distribution to ROC curves4
Some Shrinkage estimators based on median ranked set sampling4
Distribution-free Phase-I scheme for location, scale and skewness shifts with an application in monitoring customers' waiting time4
Current status data with two competing risks and missing failure types: a parametric approach4
Optimal bandwidth estimators of kernel density functionals for contaminated data4
Risk analysis in the brazilian stock market: copula-APARCH modeling for value-at-risk4
Regression modelling of interval censored data based on the adaptive ridge procedure4
Forecasting waved daily COVID-19 death count series with a novel combination of segmented Poisson model and ARIMA models3
Markov (Set) chains application to predict mortality rates using extended Milevsky–Promislov generalized mortality models3
A double generally weighted moving average control chart for monitoring the process variability3
Noise-insensitive discriminative subspace fuzzy clustering3
Forward variable selection for random forest models3
Comparison of different estimation methods for extreme value distribution3
Testing the reliability of forecasting systems3
Statistical modeling of computer malware propagation dynamics in cyberspace3
Distribution-free Phase II triple EWMA control chart for joint monitoring the process location and scale parameters3
Hierarchical Bayesian spatio-temporal modeling of COVID-19 in the United States3
Hot spot identification method based on Andrews curves: an application on the COVID-19 crisis effects on caregiver distress in neurocognitive disorder3
Assessment of longevity risk: credibility approach3
Applications of monitoring and tracing the evolution of clustering solutions in dynamic datasets3
The new Neyman type A generalized odd log-logistic-G-family with cure fraction3
On regime changes of COVID-19 outbreak3
Model estimation and selection for partial linear varying coefficient EV models with longitudinal data3
Analyzing evidence-based falls prevention data with significant missing information using variable selection after multiple imputation3
A review of tests for exponentiality with Monte Carlo comparisons3
Bias-corrected estimators for proportion of true null hypotheses: application of adaptive FDR-controlling in segmented failure data3
Conservative confidence intervals for the intraclass correlation coefficient for clustered binary data3
A model for bimodal rates and proportions3
Estimation of time-varying kernel densities and chronology of the impact of COVID-19 on financial markets3
Full Bayesian analysis of double seasonal autoregressive models with real applications3
Spatio-temporal modeling of traffic accidents incidence on urban road networks based on an explicit network triangulation3
Inverse Lindley power series distributions: a new compounding family and regression model with censored data3
Intrinsic spherical smoothing method based on generalized Bézier curves and sparsity inducing penalization3
Solving unobserved heterogeneity with latent class inflated Poisson regression model3
Time-varying coefficient model estimation through radial basis functions3
Local Linear Regression and the problem of dimensionality: a remedial strategy via a new locally adaptive bandwidths selector3
Bootstrap aggregated classification for sparse functional data3
Multi-resolution super learner for voxel-wise classification of prostate cancer using multi-parametric MRI3
A method for detection of Mode-Mixing problem3
Analyzing the impacts of socio-economic factors on French departmental elections with CoDa methods3
Efficient accounting for estimation uncertainty in coherent forecasting of count processes3
Efficient design of geographically-defined clusters with spatial autocorrelation3
Variable selection for quantile autoregressive model: Bayesian methods versus classical methods3
Robust inference for skewed data in health sciences3
Continuity corrected score confidence interval for the difference in proportions in paired data3
Dynamic Bayesian adjustment of anticipatory covariates in retrospective data: application to the effect of education on divorce risk3
Improving the Hosmer-Lemeshow goodness-of-fit test in large models with replicated Bernoulli trials3
Bayesian adaptive selection of basis functions for functional data representation3
Joint modelling of longitudinal response and time-to-event data using conditional distributions: a Bayesian perspective3
Quantification of model risk that is caused by model misspecification3
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