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Maria Kateri

Professor (Chair of Statistics and Stochastic Modelling)

Rheinisch Westfälische Technische Hochschule Aachen RWTH Aachen Fakultät für Mathematik Informatik und Naturwissenschaft

Germany

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About

Maria Kateri is a Professor and Chair of Statistics and Stochastic Modelling at Rheinisch Westfälische Technische Hochschule Aachen (RWTH Aachen), Germany. Her research areas include accelerated life testing, statistical modeling of lithium-ion batteries, and estimation techniques for various statistical distributions. Recent publications illustrate her contributions to the fields of reliability engineering and statistical methodology.

Articles (15)

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2025

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2024

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2024

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2024

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2024

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2024

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2023

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2022

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2022

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2022

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2021

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2020

Collaborators (3)

Nikolay I. Nikolov

RWTH Aachen University

GERMANY

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Ahmed Chahbaz

RWTH Aachen University

GERMANY

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Elena STANGHELLINI

Full Professor

Università degli Studi di Napoli Federico II

ITALY

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Maria Kateri

Research Interests

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Articles (15)

Simple Heterogeneous Step‐Stress Accelerated Life Testing Model Under Type II Censoring

Statistical investigation of temperature-dependent cycle lifetime and cell-to-cell variance in lithium-ion batteries: A model-based approach

Estimating the parameter of a geometric distribution from series system data

Scale tests for a multilevel step-stress model with exponential lifetimes under Type-II censoring

Aging Intensity for Step-Stress Accelerated Life Testing Experiments

Maximum Product of Spacings Estimator Under Type-I Censoring With an Application to a Step-Stress Model With Weibull Lifetimes

Product of Spacings Estimation in Step-Stress Accelerated Life Testing: An Alternative to Maximum Likelihood

A Note on the Asymptotic Posterior Normality of Multivariate Latent Traits in an IRT Model for Polytomous Items of Mixed Format

Discussion of Specifying prior distributions in reliability applications

A longitudinal degradation set‐up for calendar aging of lithium‐ion batteries in view of sparse experimental data

Exact Mediation Analysis for Ordinal Outcome and Binary Mediator

Asymptotic Posterior Normality of Multivariate Latent Traits in an IRT Model

A generalized Mallows model based on ϕ-divergence measures

Families of Generalized Quasisymmetry Models: A <i>ϕ</i>-Divergence Approach

Fitting lifetime distributions to interval censored cyclic-aging data of lithium-ion batteries

Collaborators (3)

Nikolay I. Nikolov

Ahmed Chahbaz

Elena STANGHELLINI

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Maria Kateri

Research Interests

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About

Articles (15)

Simple Heterogeneous Step‐Stress Accelerated Life Testing Model Under Type II Censoring

Statistical investigation of temperature-dependent cycle lifetime and cell-to-cell variance in lithium-ion batteries: A model-based approach

Estimating the parameter of a geometric distribution from series system data

Scale tests for a multilevel step-stress model with exponential lifetimes under Type-II censoring

Aging Intensity for Step-Stress Accelerated Life Testing Experiments

Maximum Product of Spacings Estimator Under Type-I Censoring With an Application to a Step-Stress Model With Weibull Lifetimes

Product of Spacings Estimation in Step-Stress Accelerated Life Testing: An Alternative to Maximum Likelihood

A Note on the Asymptotic Posterior Normality of Multivariate Latent Traits in an IRT Model for Polytomous Items of Mixed Format

Discussion of Specifying prior distributions in reliability applications

A longitudinal degradation set‐up for calendar aging of lithium‐ion batteries in view of sparse experimental data

Exact Mediation Analysis for Ordinal Outcome and Binary Mediator

Asymptotic Posterior Normality of Multivariate Latent Traits in an IRT Model

A generalized Mallows model based on ϕ-divergence measures

Families of Generalized Quasisymmetry Models: A <i>&#981;</i>-Divergence Approach

Fitting lifetime distributions to interval censored cyclic-aging data of lithium-ion batteries

Collaborators (3)

Nikolay I. Nikolov

Ahmed Chahbaz

Elena STANGHELLINI

Make your next move.

Families of Generalized Quasisymmetry Models: A <i>ϕ</i>-Divergence Approach