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10.5555/1115950guideproceedingsBook PagePublication PagesConference Proceedingsacm-pubtype
SSDBM'81: Proceedings of the 1st LBL Workshop on Statistical database management
1981 Proceeding
Publisher:
  • Lawrence Berkeley Laboratory
  • Berkeley
  • United States
Conference:
Melno Park California December 2 - 4, 1981
Published:
02 December 1981

Reflects downloads up to 14 Jan 2025Bibliometrics
Abstract

No abstract available.

Article
Article
Data definition for statistical summary data or appearances can be deceiving
Pages 3–18

Numerous economists, analysts and bureaucrats now devote a large part of their time working with statistical summary data. Such data is produced from cross-tabulation or multi-level aggregation of unit-record or individual case data. When receiving ...

Article
A statistician's view of the requirements of a database to support a central query language
Pages 19–24

This paper identifies issues that are important to statisticians, namely, the need for a central query language and statistical database which can easily interact with a variety of systems and stand-along programs; discusses the requirements of a host ...

Article
Additional facilities of a concentional DBMS to support interactive statistical analysis
Pages 25–36

This paper proposes to add some facilities to a conventional database management system (DBMS) to support interactive survey analysis of statistical data. Data dictionaries were developed, derived statistical data is treated as regular data and summary ...

Article
Design of the genealogical information system
Pages 41–58

This paper describes the Genealogical Information System, GENISYS, developed for use by a project doing historical demography and medical genetics research. Project requirements and goals are presented and design and implementation decisions are ...

Article
Units and accuracy in statistical databases
Pages 59–60

Statisticans and database designers have expended much effort to protect data from users [DiMillo 78, Denning 79]. It is also important to protect users from inaccurate data.

Article
Statistical analyses using FWS/manage database management system
Pages 65–77

This paper describes an interactive database management system which interfaces with the International Mathematical and Statistical Libraries (IMSL) statistical package. The interface is transparent to the user and is designed to perform statistical ...

Article
GPI: a statistical package/data base interface
Pages 78–87

The GPI (Generalized Package Interface) strives to ease the task of the general user in applying programs against census and survey data. Specifically, the system addresses two design goals: 1) reducing the dependency of such generalized programming ...

Article
Data management support for statistical data editing and subset selection
Pages 88–102

Statistical analysis of large data sets often involves an initial data editing and preparation phase to check the validity of individual data items, check for consistency among related data, correct erroneous data, and supply (impute) values for missing ...

Article
Must we navigate through databases?
Pages 111–122

Data dictionary systems, such as the Table Producing Language (TPL) Descriptive Codebook system, provide a facility for separating the description of a data file from the use of the data. The benefits of this approach are well known. The TPL Associative ...

Article
Metadata in the RAPID DBMS
Pages 123–131

This paper describes the metadata facilities of the RAPID DBMS developed at Statistics Canada and contains a discussion of metadata in application systems.

Article
Data manipulation in Minitab
Pages 143–146

Minitab is a general purpose, interactive, statistics package. Unlike most other statistics packages, Minitab stores data in main memory. This allows great flexibility in manipulating data. This paper describes data manipulation operations in Release ...

Article
Data manipulation languages for statistical databases: the statistical analysis system (SAS)
Pages 147–150

Several important data manipulation issues of statistical databases are discussed with respect to their treatment and implementation in SAS. The issues are: why aren't conventional database management systems used for statistical data; what data ...

Article
Data manipulation in SPSS and SPSS-X
Pages 151–152
Article
Data manipulation in P-STAT
Pages 153–154
Article
Rule/based statistical calculations on a "Database abstract"
Pages 163–175

Statistical calculations can take large amounts of time in a large database. Precomputed summary values may be stored to improve access speed, but they can only cover a small fraction of the great number of sets queriable. We suggest a compromise using ...

Article
A data model for integrating statistical interpretations
Pages 176–189

This paper considers a problem found in many statistical databases. In particular, we are interested in situations where different measurements are based on different partitionings of the same entity. In such a situation a statistical interpretation is ...

Article
Abe: a query language for constructing aggregates-by-example
Pages 190–205

The Abe query language is described. Abe is a relational language designed to make easy the formulation of complicated statistical queries. Abe is similar to Zloof's Query-By-Example in that it makes use of the entire terminal screen. It is similar to ...

Article
For large meta information of national integrated statistics
Pages 206–223

Integrated statistics, synthesized from many survey statistics, form an important part of government statistics. Its typical example is the System of National Accounts. To develop such a system, it is necessary to make consistent preparation of 1) ...

Contributors
  • University of Toronto

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