WorldCat Linked Data Explorer

Turtle N-Triple JSON-LD RDF/XML HTML Contact Us Home

http://worldcat.org/entity/work/id/32148675

The geometry of multivariate statistics

A traditional approach to developing multivariate statistical theory is algebraic. Sets of observations are represented by matrices, linear combinations are formed from these matrices by multiplying them by coefficient matrices, and useful statistics are found by imposing various criteria of optimization on these combinations. Matrix algebra is the vehicle for these calculations. A second approach is computational. Since many users find that they do not need to know the mathematical basis of the techniques as long as they have a way to transform data into results, the computation can be done b.

Open All Close All

type

about

creator

description

http://schema.org/description

  • "A traditional approach to developing multivariate statistical theory is algebraic. Sets of observations are represented by matrices, linear combinations are formed from these matrices by multiplying them by coefficient matrices, and useful statistics are found by imposing various criteria of optimization on these combinations. Matrix algebra is the vehicle for these calculations. A second approach is computational. Since many users find that they do not need to know the mathematical basis of the techniques as long as they have a way to transform data into results, the computation can be done b."@en

genre

http://schema.org/genre

  • "Lehrbuch"
  • "Electronic books"@en
  • "Electronic books"

name

http://schema.org/name

  • "The geomtry of multivariate statistics"
  • "The geometry of multivariate statistics"
  • "The geometry of multivariate statistics"@en
  • "Geometry of multivariate statistics"@en
  • "The Geometry of Multivariate Statistics"@en

workExample