Modelling and Analysis of Computer Experiments Using a Simple Pendulum Model

Kazeem Adewale Osuolale ()
Additional contact information
Kazeem Adewale Osuolale: Nigerian Institute of Medical Research

Chapter Chapter 27 in Statistics for Data Science and Policy Analysis, 2020, pp 379-386 from Springer

Abstract: Abstract A computer experiment is an experiment conducted using data obtained from a computer model or simulator in lieu of the physical process. A physics-based experiment known as a simple pendulum experiment was performed to demonstrate a computer experiment. A true model called a computer model of a simple pendulum was used to simulate a real life pendulum experiment. The inputs to the computer code were varied in order to determine the effect of different inputs on the output(s) of a pendulum experiment. The output of such computer model is used as a proxy for the real life observations of the study. The focus of this study is to determine the output, that is, the time it takes the pendulum bob to return to rest. This time is also called the stoppage time in this study. The accuracy of the estimated time of the pendulum based on the calculation of the standard error was checked and 95% bootstrapped Confidence Intervals (CIs) were estimated. MATLAB 2016a computer package ( www.mathworks.com/ ) was used for the development of the program that generates the time it takes the pendulum to return to rest.

Keywords: Computer experiment; Simulator; Simple pendulum (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-15-1735-8_27

Ordering information: This item can be ordered from
http://www.springer.com/9789811517358

DOI: 10.1007/978-981-15-1735-8_27

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().