# Mirko Eickhoff

> author of 2007 doctoral thesis at University of Canterbury titled Sequential Analysis of Quantiles and Probability Distributions by Replicated Simulations

**Wikidata**: [Q127388396](https://www.wikidata.org/wiki/Q127388396)  
**Source**: https://4ort.xyz/entity/mirko-eickhoff

## Summary
Mirko Eickhoff is a computer scientist and researcher known for his academic contributions to the field of simulation analysis. He is the author of the 2007 doctoral thesis "Sequential Analysis of Quantiles and Probability Distributions by Replicated Simulations," completed at the University of Canterbury.

## Biography
- **Education**: Doctor of Philosophy, University of Canterbury (2007)
- **Known for**: Research in sequential analysis and replicated simulations
- **Employer(s)**: University of Canterbury
- **Field(s)**: Computer science

## Contributions
Mirko Eickhoff’s primary contribution to the field of computer science is his research into statistical simulation methods. In 2007, he published his doctoral thesis, "Sequential Analysis of Quantiles and Probability Distributions by Replicated Simulations," at the University of Canterbury in New Zealand. 

His work, supervised by computer scientist Krzysztof Pawlikowski and Donald Christopher McNickle, focuses on the methodology of using replicated simulations to perform sequential analysis. This research specifically addresses the estimation and analysis of quantiles and probability distributions, which are critical components in computational modeling and performance evaluation. His academic output is recognized within the NZThesisProject and is cataloged under ResearchGate contribution ID 70796170.

## FAQs
### Q: What is Mirko Eickhoff's primary area of research?
A: Mirko Eickhoff specializes in computer science, with a specific focus on the sequential analysis of quantiles and probability distributions through the use of replicated simulations.

### Q: Where did Mirko Eickhoff obtain his doctorate?
A: He earned his Doctor of Philosophy from the University of Canterbury in Christchurch, New Zealand, in 2007.

### Q: Who were Mirko Eickhoff’s doctoral advisors?
A: His doctoral research was supervised by Krzysztof Pawlikowski and Donald Christopher McNickle at the University of Canterbury.

## Why They Matter
Mirko Eickhoff’s research provides a framework for improving the accuracy and efficiency of statistical simulations in computer science. By developing methods for the sequential analysis of quantiles and probability distributions, his work assists researchers in determining when a simulation has reached a sufficient level of statistical confidence. This is vital for industrial and service sectors that rely on computer modeling to predict system behavior. His inclusion in the NZThesisProject focus list underscores the importance of his work to the New Zealand academic and scientific community.

## Notable For
*   **Doctoral Thesis (2007):** Author of "Sequential Analysis of Quantiles and Probability Distributions by Replicated Simulations."
*   **Academic Affiliation:** Researcher and computer scientist at the University of Canterbury.
*   **Collaborations:** Conducted doctoral research under the guidance of notable academic Krzysztof Pawlikowski.
*   **Project Recognition:** Featured on the focus list of the Wikimedia NZThesisProject.

## Body

### Academic Background
Mirko Eickhoff is a computer scientist who conducted his advanced studies at the University of Canterbury, a public research institution in Christchurch, New Zealand. In 2007, he was awarded a Doctor of Philosophy for his research in the computational sciences.

### Doctoral Research and Methodology
Eickhoff’s major work, "Sequential Analysis of Quantiles and Probability Distributions by Replicated Simulations," addresses technical challenges in simulation output analysis. His research was overseen by:
*   **Krzysztof Pawlikowski:** A computer scientist and academic born in 1946.
*   **Donald Christopher McNickle:** A co-advisor for the doctoral project.

The thesis explores how replicated simulations can be used to analyze probability distributions sequentially, a method used to ensure that simulation results are statistically significant without requiring excessive computational resources.

### Professional Identity and Records
Eickhoff is professionally classified as a computer scientist. His work is documented in several academic and metadata repositories:
*   **ResearchGate:** Associated with contribution ID 70796170.
*   **NZThesisProject:** His doctoral work is a focus of this Wikimedia project, which aims to document significant New Zealand academic theses.
*   **University Affiliation:** He has been listed as an employee of the University of Canterbury.

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## References

1. [Source](http://hdl.handle.net/10092/1238)
2. [Source](http://www.mirko-eickhoff.de/)