Diversification in Statistical Data Bases and Its Consequences.

Helen C. Poot: Diversification in Statistical Data Bases and Its Consequences. SSDBM 1983: 148-151

@inproceedings{DBLP:conf/ssdbm/Poot83,
  author    = {Helen C. Poot},
  editor    = {Roy Hammond and
               John L. McCarthy},
  title     = {Diversification in Statistical Data Bases and Its Consequences},
  booktitle = {Proceedings of the Second International Workshop on Statistical
               Database Management, Los Altos, California, USA, September 27-29,
               1983},
  publisher = {Lawrence Berkeley Laboratory},
  year      = {1983},
  pages     = {148-151},
  ee        = {db/conf/ssdbm/Poot83.html},
  crossref  = {DBLP:conf/ssdbm/83},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

BibTeX

Abstract

In this brief report the author discusses the consequences of the growth and diversification in statistical data bases as evidenced at Data Resources, Inc. (DRI). In general, one sees time-series being used in closer conjunction with cross-sectional and textual information. This has a great impact on the types of software used. The variety of data available requires more diverse methods of quality control. The amount and scope of information now online requires that descriptive and reference materials be made available online, particularly in the area of current awareness.

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Printed Edition

Roy Hammond, John L. McCarthy (Eds.): Proceedings of the Second International Workshop on Statistical Database Management, Los Altos, California, USA, September 27-29, 1983. Lawrence Berkeley Laboratory 1983
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