Process sampling

Lorenzo Cevallos-Torres; Miguel Botto-Tobar

doi:10.1007/978-3-030-13393-1_2

Process sampling

Lorenzo Cevallos-Torres, Miguel Botto-Tobar

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-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 language	English
Title of host publication	Problem-based learning: A didactic strategy in the teaching of system simulation
Editors	Lorenzo Cevallos-Torres, Miguel Botto-Tobar
Publisher	Springer
Chapter	2
Pages	13-31
Number of pages	19
ISBN (Electronic)	978-3-030-13393-1
ISBN (Print)	978-3-030-13392-4
DOIs	https://doi.org/10.1007/978-3-030-13393-1_2
Publication status	Published - 1 Jan 2019

Publication series

Name	Studies in Computational Intelligence
Volume	824
ISSN (Print)	1860-949X

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10.1007/978-3-030-13393-1_2

Cite this

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Process sampling. / Cevallos-Torres, Lorenzo; Botto-Tobar, Miguel.

Problem-based learning: A didactic strategy in the teaching of system simulation. ed. / Lorenzo Cevallos-Torres; Miguel Botto-Tobar. Springer, 2019. p. 13-31 (Studies in Computational Intelligence; Vol. 824).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

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Process sampling

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