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Main Title Massive Data Sets: Problems and Possibilities with Application to Environmental Monitoring.
Author Cressie, N. ; Olsen, A. ; Cook, D. ;
CORP Author National Health and Environmental Effect Research Lab., Corvallis, OR. Western Ecology Div. ;Iowa State Univ., Ames. Dept. of Statistics. ;National Research Council, Washington, DC. Committee on Applied and Theoretical Statistics.
Publisher 1996
Year Published 1996
Report Number EPA/600/A-96/013;
Stock Number PB96-159454
Additional Subjects Environmental monitoring ; Statistical analysis ; Data quality ; Environmental impacts ; Statistical data ; Data collection ; Data processing ; Data analysis ; Spatial distribution ; Reprints ; Data sets
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Library Call Number Additional Info Location Last
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NTIS  PB96-159454 Some EPA libraries have a fiche copy filed under the call number shown. 07/26/2022
Collation 10p
Abstract Massive data sets are not unlike small to large data sets in one respect, namely, it is essential to know their context before one starts an analysis. The context will dictate the types of analyses attempted. However, the sheer size of a massive data set may challenge and defeat a statistical methodology designed for smaller data sets. This paper discusses the resulting problems and possibilities generally, and more specifically, considers applications to environmental monitoring data.
Supplementary Notes Presented at Statistical Challenges and Possible Approaches in the Analysis of Massive Data Sets, Washington, DC., July 7-8, 1995. Prepared in cooperation with Iowa State Univ., Ames. Dept. of Statistics. and National Research Council, Washington, DC. Committee on Applied and Theoretical Statistics.
Title Annotations Reprint: Massive Data Sets: Problems and Possibilities with Application to Environmental Monitoring.
Category Codes 68
NTIS Prices PC A02/MF A01
Primary Description 600/02
Document Type NT
Cataloging Source NTIS/MT
Control Number 612402490
Origin NTIS
Type CAT