Multivariate descriptive statistical analysis
Ludovic Lebart
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at 250 WPM4h 10m
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Multivariate descriptive statistical analysis
Published
1984
Publisher
Wiley
Pages
250
ISBN-10
0471867438
Description
This is a well-written and interesting book about techniques for displaying multi- variate data. Although the examples are applications to socioeconomic research, it is claimed that the methods can also be applied to the social sciences, medicine, biology, and geography. The primary focus is on correspondence analysis, with other techniques such as canonical correlation, discriminant analysis, and cluster analysis discussed in this context. One could conclude from the absence of exercises that the book is not intended as a text, but it certainly could be used for a class if supplemented with problems. The main prerequisite is linear algebra, but some calculus is used, too, including matrix derivatives and Lagrange multipliers. The style is informal, with techniques presented often in terms of the analysis of a particular data set, and there are no theorems presented as such. There are, however, some mathematical derivation. This is a clear, carefully written discussion of correspondence analysis, a methodology which deserves to be more widely known.
Subjects
Frequently Asked Questions
How many pages are in Multivariate descriptive statistical analysis?
This edition of Multivariate descriptive statistical analysis has approximately 250 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.
How long does it take to read Multivariate descriptive statistical analysis?
For most readers, Multivariate descriptive statistical analysis typically takes between 5h 13m and 3h 28m to complete. This is based on the book's length of approximately 62,500 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 4h 10m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 9 days • Estimated word count: 62,500 words
Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.
What is the word count of Multivariate descriptive statistical analysis?
The estimated word count for Multivariate descriptive statistical analysis is approximately 62,500 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.
This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.
Who is the author of Multivariate descriptive statistical analysis?
Multivariate descriptive statistical analysis was written by Ludovic Lebart.
When was Multivariate descriptive statistical analysis published?
The publication date for this specific edition is 1984. The original work may have been published on a different date.