Search PubMedSearch

PubMed · 396153

Statistical computing in the United States.

Abstract

Recent history and developments related to the increase in statistical computing activities in the United States and by U.S. participants in international efforts are reviewed, with emphasis on important events, organizations, references, and products which contribute to informed selection and use of statistical programs. Three features matrices for major statistical packages are included as potential aids to Japanese statisticians in assessing the utility of these packages in biostatistical applications.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

R C Milton. 1979. Statistical computing in the United States.. https://doi.org/10.1289/ehp.7932203

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

The inappropriateness of conventional cephalometrics.

1. Cephalometric conventions today may have little basis in either biology or biometrics. 2. There is no theory of cephalometrics, only conventions which involve landmarks and straight lines only. These fail to capture the curving of form and its changes, exclude proper measures of size for bent structures, and misrepresent growth, portraying it as vector displacement rather than a generalized distortion. 3. Conventional cephalometric procedures misinform by fabrication of misleading geometric quantities, by camouflage, particularly of remodeling, by confusion about what is happening (analysis of rotations, treating shape separately from size, and registering angles on landmarks as vertices), and by subtraction as a representation of growth. 4. We suggest that the present systems offer little real hope of improvement sufficient to meet our needs in craniofacial growth research. We call attention to three possible techniques to be included in future cephalometric conventions: (1) tangents and curvatures, (2) Blum's medial axis ("skeleton"), and (3) biorthogonal grids.

Biometry