Heteroskedasticity in Regression

Robert L. Kaufman

at 250 WPM

1h 52m

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112

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Heteroskedasticity in Regression

by Robert L. Kaufman

2014

SAGE Publications, Incorporated

112

9781483303826

Description

"Covers the commonly ignored topic of heteroskedasticity (unequal error variances) in regression analyses and provides a practical guide for how to proceed in terms of testing and correction."-- Publisher description.

Frequently Asked Questions

How many pages are in Heteroskedasticity in Regression?

This edition of Heteroskedasticity in Regression has approximately 112 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 Heteroskedasticity in Regression?

For most readers, Heteroskedasticity in Regression typically takes between 2h 20m and 1h 33m to complete. This is based on the book's length of approximately 28,000 words and common reading speeds.

Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 1h 52m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 4 days • Estimated word count: 28,000 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 Heteroskedasticity in Regression?

The estimated word count for Heteroskedasticity in Regression is approximately 28,000 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 Heteroskedasticity in Regression?

Heteroskedasticity in Regression was written by Robert L. Kaufman.

When was Heteroskedasticity in Regression published?

The publication date for this specific edition is 2014. The original work may have been published on a different date.