Decision Support on Small size Passive Samples

A construction technique of adequate mathematical models for small size passive samples, in conditions when classical probabilistic-statis\-tical methods do not allow obtaining valid conclusions was developed.

Bibliographic Details
Main Author:	Vladimir Popukaylo
Format:	Article
Language:	English
Published:	Institute of Mathematics and Computer Science of the Academy of Sciences of Moldova 2018-05-01
Series:	Computer Science Journal of Moldova
Subjects:	mathematical modeling small sample passive experiment correlation analysis regression analysis outliers the method of point distributions
Online Access:	http://www.math.md/files/csjm/v26-n1/v26-n1-(pp93-94).pdf

id	doaj-0017f5a24a2943e2b750652e90c38981
record_format	Article
spelling	doaj-0017f5a24a2943e2b750652e90c389812020-11-24T23:09:10ZengInstitute of Mathematics and Computer Science of the Academy of Sciences of MoldovaComputer Science Journal of Moldova1561-40422018-05-01261(76)9394Decision Support on Small size Passive SamplesVladimir Popukaylo0Institute of Mathematics and Computer Science, Moldova Republic ofA construction technique of adequate mathematical models for small size passive samples, in conditions when classical probabilistic-statis\-tical methods do not allow obtaining valid conclusions was developed. http://www.math.md/files/csjm/v26-n1/v26-n1-(pp93-94).pdfmathematical modelingsmall samplepassive experimentcorrelation analysisregression analysisoutliersthe method of point distributions
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Vladimir Popukaylo
spellingShingle	Vladimir Popukaylo Decision Support on Small size Passive Samples Computer Science Journal of Moldova mathematical modeling small sample passive experiment correlation analysis regression analysis outliers the method of point distributions
author_facet	Vladimir Popukaylo
author_sort	Vladimir Popukaylo
title	Decision Support on Small size Passive Samples
title_short	Decision Support on Small size Passive Samples
title_full	Decision Support on Small size Passive Samples
title_fullStr	Decision Support on Small size Passive Samples
title_full_unstemmed	Decision Support on Small size Passive Samples
title_sort	decision support on small size passive samples
publisher	Institute of Mathematics and Computer Science of the Academy of Sciences of Moldova
series	Computer Science Journal of Moldova
issn	1561-4042
publishDate	2018-05-01
description	A construction technique of adequate mathematical models for small size passive samples, in conditions when classical probabilistic-statis\-tical methods do not allow obtaining valid conclusions was developed.
topic	mathematical modeling small sample passive experiment correlation analysis regression analysis outliers the method of point distributions
url	http://www.math.md/files/csjm/v26-n1/v26-n1-(pp93-94).pdf
work_keys_str_mv	AT vladimirpopukaylo decisionsupportonsmallsizepassivesamples
_version_	1725611125079277568

Decision Support on Small size Passive Samples

Similar Items