Problem Simplification
Abstract
This final chapter provides simple but powerful methods for analyzing data, without resorting to advanced mathematical and techniques. The use of random number generators to simulate the behavior of systems, and the applications of Monte Carlo, resampling, and permutative methods to a wide variety of common problems in data analysis are discussed. The importance of data reanalysis, following preliminary analysis, is emphasized.
Keywords
Statistics; Resampling; Permutative methods; Monte Carlo method; Random number generator; Pseudorandom numbers; Combinatorics
Simplicity is the ultimate sophistication.
Leonardo da Vinci (1452–1519)
8.1 Random Numbers
Chaos reigns within.
Reflect, repent, and reboot. ...
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