General Index

  1. abundance
    1. absolute
    2. relative
  2. affine equivariant
  3. Aitchison
    1. distance see distance, Aitchison
    2. geometry, see geometry, Aitchison
    3. geometry see geometry, Aitchison
    4. inner product, see inner product, Aitchison
    5. measure of an interval, see measure, Aitchison
    6. norm, see norm, Aitchison
  4. alr, see transformation, additive logratio
  5. amalgamated
    1. component
    2. composition
  6. amalgamation
  7. analysis of variance (ANOVA)
  8.  
  9. bacteria
  10. balance
    1. interpretation
    2. sign
  11. balancing composition
  12. balancing element
  13. basis, orthonormal
  14. Bayes formula
    1. as perturbation
  15. Bayes theorem
  16. bias
    1. simplicial
  17. biplot
    1. angles
    2. case marker
    3. covariance
    4. form
    5. link
    6. origin
    7. ray
    8. subcomposition
    9. vertex
    10. vertices
      1. coincident
      2. collinear
  18. Borelian set
  19. breakdown point
  20.  
  21. canonical basis of RD
  22. Cauchy–Schwartz inequality
  23. censored
    1. data
    2. values
  24. center
  25. centre
    1. estimator
  26. center of gravity
  27. centering
  28. central tendency
  29. centroid
  30. circle
  31. closure
  32. closure problem
  33. clr, see transformation, centered logratio
  34. CoDa-dendrogram
  35. CoDaPack, iii
  36. coefficients
    1. centered logratio
  37. cokriging
  38. commutative group structure
  39. composition
    1. equivalence class
    2. latent
  40. compositional
    1. circles
    2. ellipses
    3. lines
      1. orthogonal
      2. parallel
  41. confidence
    1. interval
    2. region
  42. conjugate
    1. distribution
  43. conjugate priors
  44. contingency table
  45. contrast, see logcontrast
  46. contrast matrix
  47. coordinates
    1. additive logratio (alr)
    2. alr
    3. barycentric
    4. Cartesian
    5. ilr
    6. isometric logratio (ilr)
    7. matrix formulation
    8. orthonormal
  48. correction
    1. Bonferroni
    2. canonical
    3. of subcompositions
    4. proportions
    5. spurious

Get Modeling and Analysis of Compositional Data now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.