@entry{cho-21-mtcarlo-junk,
  author = {Chowdhury, Sujaul},
  title = {{Monte} {Carlo} Methods: {A} Hands-On Computational Introduction Utilizing {Excel}},
  year = 2021,
  series = {Synthesis Lectures on Mathematics and Statistics},
  publisher = {Morgan {\&} Claypool},
  pages = {133},
  month = dec,
  doi = {10.2200/S01073ED1V01Y202101MAS037},
  comment = {Spurious Google Scholar hit.},
  abstract = {This book is intended for undergraduate students of Mathematics, Statistics, and Physics who know nothing about Monte Carlo Methods but wish to know how they work. All treatments have been done as much manually as is practicable. The treatments are deliberately manual to let the readers get the real feel of how Monte Carlo Methods work. Definite integrals $F(x)$ of a total of five functions have been evaluated using constant, linear, Gaussian, and exponential probability density functions $p(x)$. It is shown that results agree with known exact values better if $p(x)$ is proportional to $F(x)$. Deviation from the proportionality results in worse agreement. This book is on Monte Carlo Methods which are numerical methods for Computational Physics. ... }
}