Algebraic Statistics

Regular price €235.60
Quantity:
Ships in 10-20 days
Delivery/Collection within 10-20 working days
Shipping & Delivery
A01=Eva Riccomagno
A01=Giovanni Pistone
A01=Henry P. Wynn
advanced algebraic statistical modeling
Algebraic Geometry
Algebraically Closed
Author_Eva Riccomagno
Author_Giovanni Pistone
Author_Henry P. Wynn
basis
Buchberger Algorithm
Category=PBF
Category=PBT
computer algebra applications
Conditional Expectation
Design D2
Design Ideal
discrete probability models
Division Algorithm
Dummy Variables
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
equations
experimental design methods
factorial experiment analysis
Fractional Factorial Design
Full Factorial Design
GrA?bner bases
grbner
Hilbert Function
Indeterminates X1
Indicator Function
Lexicographic Term Ordering
Maximum Likelihood Equations
Minimal Fan
Monomial Ideal
polynomial
Polynomial Equations
Polynomial Ideal
Polynomial Interpolator
quotient
Quotient Space
reliability theory
Sample Space
space
system
Toric Ideals
varieties
vector
Vector Space Basis
x1x2x3x4
X1X2X3X4 X1X2X3X4 X1X2X3X4 X1X2X3X4 X1X2X3X4

Product details

  • ISBN 9781584882046
  • Weight: 460g
  • Dimensions: 156 x 234mm
  • Publication Date: 21 Dec 2000
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
Secure checkout Fast Shipping Easy returns
Written by pioneers in this exciting new field, Algebraic Statistics introduces the application of polynomial algebra to experimental design, discrete probability, and statistics. It begins with an introduction to Gröbner bases and a thorough description of their applications to experimental design. A special chapter covers the binary case with new application to coherent systems in reliability and two level factorial designs. The work paves the way, in the last two chapters, for the application of computer algebra to discrete probability and statistical modelling through the important concept of an algebraic statistical model. As the first book on the subject, Algebraic Statistics presents many opportunities for spin-off research and applications and should become a landmark work welcomed by both the statistical community and its relatives in mathematics and computer science.
Eva Riccomagno, Giovanni Pistone, Henry P. Wynn

More from this author