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Title: Analysis of Systematic Errors in Experiments with Variable Errors
Authors: Suero, Pablo
Advisors: Romalis, Michael V.
Contributors: Marlow, Daniel R.
Department: Physics
Class Year: 2015
Abstract: We explore various methods for the recognition and analysis of systematic errors in experiments whose errors come from different distributions, or are not gaussian distributed. First, we explore a method for detecting whether linear-looking data actually has a squared term dependency in it. Then, we apply the bootstrap method to calculate confidence intervals in the presence of 1/f noise.
Extent: 36 pages
Type of Material: Princeton University Senior Theses
Language: en_US
Appears in Collections:Physics, 1936-2017

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