Erhard Cramer

Professor

Germany

Research Interests

Explore related searches

Professors in Germany Professors in Statistics Statistics professors in Germany

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Professor Erhard Cramer is a faculty member at RWTH Aachen Fachgruppe Mathematik in Germany. His research focuses on reliability theory, specifically in areas such as hybrid censoring schemes, failure risks in load-sharing systems, and inference methods related to Type-I and Type-II censoring. His recent publications reflect his expertise in statistical modeling and analysis within the context of reliability engineering.

Articles (14)

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Year:

2020

Year:

2020

Year:

2020

Collaborators (3)

Tim Pesch

University in Western Australia

AUSTRALIA

View details

Adriano Polpo

University of Western Australia

AUSTRALIA

View details

edward cripps

University of Western Australia

AUSTRALIA

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Erhard Cramer

Research Interests

Explore related searches

Contact this professor

About

Articles (14)

Modeling Failure Risks in Load-Sharing Systems With Heterogeneous Components

Structure of hybrid censoring schemes and its implications

Generalized Ng–Kundu–Chan model of adaptive progressive Type‐II censoring and related inference

Reliability inference with extended sequential order statistics

Ordered and censored lifetime data in reliability: An illustrative review

Inference for Type-I and Type-II Hybrid Censored Minimal Repair and Record Data

Some new results on likelihood ratio ordering and aging properties of generalized order statistics

Stage life testing with random stage changing times

Exact Likelihood Inference for an Exponential Parameter under a Multi-Sample Type-II Progressive Hybrid Censoring Model

Multi-sample progressive Type-I censoring of exponentially distributed lifetimes

k‐step stage life testing

EM algorithms for ordered and censored system lifetime data under a proportional hazard rate model

On Exact Inferential Results for a Simple Step-Stress Model Under a Time Constraint

Type-I hybrid censoring of multiple samples

Collaborators (3)

Tim Pesch

Adriano Polpo

edward cripps

Make your next move.