Process sampling

Lorenzo Cevallos-Torres, Miguel Botto-Tobar

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Abstract

This chapter provides a basic introduction to descriptive statistic including sampling techniques such as population, simple random sampling, systematic random sampling, stratified sampling, cluster sampling, and non-probabilistic sampling to have enough knowledge to be able to decide which is the most appropriate sampling technique.

Original languageEnglish
Title of host publicationProblem-based learning: A didactic strategy in the teaching of system simulation
EditorsLorenzo Cevallos-Torres, Miguel Botto-Tobar
PublisherSpringer
Chapter2
Pages13-31
Number of pages19
ISBN (Electronic)978-3-030-13393-1
ISBN (Print)978-3-030-13392-4
DOIs
Publication statusPublished - 1 Jan 2019

Publication series

NameStudies in Computational Intelligence
Volume824
ISSN (Print)1860-949X

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  • Cite this

    Cevallos-Torres, L., & Botto-Tobar, M. (2019). Process sampling. In L. Cevallos-Torres, & M. Botto-Tobar (Eds.), Problem-based learning: A didactic strategy in the teaching of system simulation (pp. 13-31). (Studies in Computational Intelligence; Vol. 824). Springer. https://doi.org/10.1007/978-3-030-13393-1_2