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Maurice G. Kendall
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A Course in the Geometry of n Dimensions (Dover Books on Mathematics) Dover Ed Edition

by M. G. Kendall (Author)
3.4 3.4 out of 5 stars 3 ratings
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This text for undergraduate students provides a foundation for resolving proofs dependent on n-dimensional systems. The author takes a concise approach, setting out that part of the subject with statistical applications and briefly sketching them. The two-part treatment begins with simple figures in n dimensions and advances to examinations of the contents of hyperspheres, hyperellipsoids, hyperprisms, parallelotopes, hyperpyramids, and simplexes. The second part explores the mean in rectangular variation, the correlation coefficient in bivariate normal variation, Wishart’s distribution, correlations as angles, regression and multiple correlation, canonical correlations, and component analysis. 1961 edition.
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  1. ISBN-10
    0486439275
  2. ISBN-13
    978-0486439273
  3. Edition
    Dover Ed
  4. Publisher
    Dover Publications
  5. Publication date
    July 15, 2004
  6. Language
    English
  7. Dimensions
    5.25 x 0.25 x 8.5 inches
  8. Print length
    80 pages
  9. See all details
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Product details

  • Publisher ‏ : ‎ Dover Publications; Dover Ed edition (July 15, 2004)
  • Language ‏ : ‎ English
  • Paperback ‏ : ‎ 80 pages
  • ISBN-10 ‏ : ‎ 0486439275
  • ISBN-13 ‏ : ‎ 978-0486439273
  • Item Weight ‏ : ‎ 4.2 ounces
  • Dimensions ‏ : ‎ 5.25 x 0.25 x 8.5 inches
  • Customer Reviews:
    3.4 3.4 out of 5 stars 3 ratings

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Maurice G. Kendall

Maurice G. Kendall

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Customer reviews

3.4 out of 5 stars
3.4 out of 5
We don’t use a simple average to calculate the overall star rating and percentage breakdown by star. Our system gives more weight to certain factors—including how recent the review is and if the reviewer bought it on Amazon. Learn more
3 global ratings

Top reviews from the United States

JF
5.0 out of 5 stars Five Stars
Reviewed in the United States on December 31, 2014
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Wonderful minibook.
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topoman
3.0 out of 5 stars Very elementary level text
Reviewed in the United States on November 24, 2005
This text was written to give a rapid introduction to the topic to statistics students who are having conceptual difficulties with the idea of more than 3 spacelike dimensions. The idea of using geometric intuition to explain the interaction of multiple variables has been very fruitful in dimensions up to 3 and can be as extended as fruitfully to collections of more than 3 variables, if the reader can first get over the intellectual hurdle that says that geometry has to have some physical referrent. This book does a very good job on that account. It doesn't go very deeply into any aspect of the topic. Prerequisites are Calculus of several variables (partial derivatives), a first course in linear algebra and high school geometry.
A prospective reader who wants a deep understanding of the subject should really read Sommerville's  An introduction to the geometry of n dimensions  instead. Please note that Sommerville expects a higher level of knowlege of geometry and analysis than does Kendall.
13 people found this helpful
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Otto Scroggs
2.0 out of 5 stars Old-fashioned, and the scope far too limited for modern demands
Reviewed in the United Kingdom on January 8, 2014
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The books is quite elderly and turns out to be primarily for statisticians. It's old-fashioned, and the scope and imaginative range is far too limited for the demands of modern geometry for general physics.
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