Journal of Applied Statistics

Papers
(The H4-Index of Journal of Applied Statistics is 15. 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
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