Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

W. J. Hemmerle

dblp:45/4739 · DBLP profile ↗
← Back
1ranked-venue papers
1as first author
0since 2021 · last 1964
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational science and engineering · 100%
Software engineering, system software, and programming languages
1 paper
Programming languages and type systems · 100%
Theoretical computer science
1 paper
Algorithms and data structures · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational science and engineering
statistical computing
0.011964
Algebraic Specification of Statistical Models for Analysis of Variance Computations · J. ACM 1964
Programming languages and type systems › specification language
algebraic specification
0.011964
Algebraic Specification of Statistical Models for Analysis of Variance Computations · J. ACM 1964
Algorithms and data structures
symbolic computation
0.011964
Algebraic Specification of Statistical Models for Analysis of Variance Computations · J. ACM 1964

Methods — techniques the papers use, named apart from their topics

symbolic manipulation · 0.0algebraic specification · 0.0
YearPublicationVenuePosition
1964 Algebraic Specification of Statistical Models for Analysis of Variance Computations
abstract
A method for computing an analysis of variance from an algebraic specification of the statistical model is described. The model is written in a form consistent with usual statistical notation but also suitable for computer input and logical manipulation. Calculations necessary to obtain the analysis of variance are then determined by the model. An outline of the computational procedure is given.
W. J. Hemmerle
J. ACM1