A Practical Guide to Data Analysis Resampling Methods
Phillip I. Good
Reading Time
at 250 WPM4h 14m
The average reader, reading at a speed of 250 WPM, would take 4h 14m to read A Practical Guide to Data Analysis Resampling Methods.
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9
days at 30 min/day
254
total minutes
A Practical Guide to Data Analysis Resampling Methods
Published
April 30, 2005
Publisher
Jaico Publishing House
Pages
254
ISBN-13
9788179921975
ISBN-10
8179921972
Subjects
Mathematical statistics with resampling and R
Mathematical Statistics Theory and Applications
Introduction to statistics through resampling methods and R
Introduction to Statistics Through Resampling Methods and Microsoft Office Excel
Introduction to Statistics Through Resampling Methods and R/S-PLUS
Statistics is easy!
Frequently Asked Questions
How many pages are in A Practical Guide to Data Analysis Resampling Methods?
This edition of A Practical Guide to Data Analysis Resampling Methods has approximately 254 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 A Practical Guide to Data Analysis Resampling Methods?
For most readers, A Practical Guide to Data Analysis Resampling Methods typically takes between 5h 18m and 3h 32m to complete. This is based on the book's length of approximately 63,500 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 4h 14m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 9 days • Estimated word count: 63,500 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 A Practical Guide to Data Analysis Resampling Methods?
The estimated word count for A Practical Guide to Data Analysis Resampling Methods is approximately 63,500 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 A Practical Guide to Data Analysis Resampling Methods?
A Practical Guide to Data Analysis Resampling Methods was written by Phillip I. Good.
When was A Practical Guide to Data Analysis Resampling Methods published?
The publication date for this specific edition is April 30, 2005. The original work may have been published on a different date.