Open AccessEconomic Results Of Sampling Processes As A Consequence Of Sampling And Testing (Or Measuring) Errors In The Case Of Stratified Random Sampling
Author(s) -
Vassilios Benos
Publication year - 2011
Publication title -
journal of applied business research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.149
H-Index - 22
eISSN - 2157-8834
pISSN - 0892-7626
DOI - 10.19030/jabr.v3i2.6533
Subject(s) - stratified sampling , sampling (signal processing) , sampling design , statistics , sample (material) , multistage sampling , econometrics , lot quality assurance sampling , sampling error , computer science , systematic sampling , sample size determination , simple random sample , population , mathematics , observational error , medicine , chemistry , environmental health , filter (signal processing) , chromatography , computer vision
Sampling is one of the methods of selecting and analyzing specific qualities which refer to statistical populations. The basic problem of sampling technique is that the estimates of population parameters from one part of it (sample) have the errors of sampling and testing (or measuring).