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The Theory of Canonical Moments with Applications in Statistics, Probability and Analysis (Hardcover, New)
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The Theory of Canonical Moments with Applications in Statistics, Probability and Analysis (Hardcover, New)
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The fascinating world of canonical moments--a unique look at this
practical, powerful statistical and probability tool
Unusual in its emphasis, this landmark monograph on canonical
moments describes the theory and application of canonical moments
of probability measures on intervals of the real line and measures
on the circle. Stemming from the discovery that canonical moments
appear to be more intrinsically related to the measure than
ordinary moments, the book's main focus is the broad application of
canonical moments in many areas of statistics, probability, and
analysis, including problems in the design of experiments, simple
random walks or birth and death chains, and in approximation
theory.
The book begins with an explanation of the development of the
theory of canonical moments for measures on intervals [a, b] and
then describes the various practical applications of canonical
moments. The book's topical range includes:
* Definition of canonical moments both geometrically and as ratios
of Hankel determinants
* Orthogonal polynomials viewed geometrically as hyperplanes to
moment spaces
* Continued fractions and their link between ordinary moments and
canonical moments
* The determination of optimal designs for polynomial
regression
* The relationships between canonical moments, random walks, and
orthogonal polynomials
* Canonical moments for the circle or trigonometric functions
Finally, this volume clearly illustrates the powerful mathematical
role of canonical moments in a chapter arrangement that is as
logical and interdependent as is the relationship of canonical
moments to statistics, probability, and analysis.
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