New Liu Estimators for the Poisson Regression Model: Method and Application [PDF]
A new shrinkage estimator for the Poisson model is introduced in this paper. This method is a generalization of the Liu (1993) estimator originally developed for the linear regression model and will be generalised here to be used instead of the classical
Kibria, B. M. Golam +3 more
core +1 more source
A stationary Weibull process and its applications. [PDF]
J Appl Stat, 2023 Kundu D.
europepmc +1 more source
Toward Single Particle Reconstruction without Particle Picking: Breaking the Detection Limit. [PDF]
SIAM J Imaging Sci, 2023 Bendory T +4 more
europepmc +1 more source
Penalized likelihood methods for modeling count data. [PDF]
J Appl Stat, 2023 Bui MT, Potgieter CJ, Kamata A.
europepmc +1 more source
A one-parameter discrete distribution for over-dispersed data: statistical and reliability properties with applications. [PDF]
J Appl Stat, 2022 Eliwa MS, El-Morshedy M.
europepmc +1 more source
The new discrete distribution with application to COVID-19 Data. [PDF]
Results Phys, 2022 Almetwally EM +5 more
europepmc +1 more source
Special issue on statistical analysis of networks: Preface by the guest editors. [PDF]
Stat Methods Appt, 2021 Schweinberger M, Stingo FC, Vitale MP.
europepmc +1 more source
Modeling noisy time-series data of crime with stochastic differential equations. [PDF]
Stoch Environ Res Risk Assess, 2023 Calatayud J, Jornet M, Mateu J.
europepmc +1 more source
Bayesian inference in based-kernel regression: comparison of count data of condition factor of fish in pond systems. [PDF]
J Appl Stat, 2022 Senga Kiessé T +3 more
europepmc +1 more source
Inference of multicomponent stress-strength reliability following Topp-Leone distribution using progressively censored data. [PDF]
J Appl Stat, 2023 Saini S, Tomer S, Garg R.
europepmc +1 more source