Metrics that make a difference : how to analyze change and error / Robert Gilmore Pontius, Jr.
Pontius, Robert Gilmore, author.
2022
QA276 .P66 2022
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Title Metrics that make a difference : how to analyze change and error / Robert Gilmore Pontius, Jr.
Author Pontius, Robert Gilmore, author.
ISBN 9783030707651 (electronic bk.)
3030707652 (electronic bk.)
9783030707644
3030707644
DOI https://doi.org/10.1007/978-3-030-70765-1
Published Cham : Springer, [2022]
Copyright ©2022
Language English
Description 1 online resource : illustrations (chiefly color).
Other Standard Identifiers 10.1007/978-3-030-70765-1 doi
Call Number QA276 .P66 2022
Dewey Decimal Classification 519.5
Summary Your government warns that 10% of your neighbors have a deadly contagious virus. The producer of a diagnostic test advertises that 90% of its tests are correct for any population. The test indicates that you have the virus. This books author claims your test has a 50% chance of being false, given your tests result. Who do you believe? This book gives you insights necessary to interpret metrics that make a difference in lifes decisions. This book gives methods and software that are essential to analyse change and error. Change describes a phenomenon across time points. Error compares diagnoses with the truth. Other texts give insufficient attention to these topics. This books novel ideas dispel popular misconceptions and replace previous methods. The author uses carefully designed graphics and high school mathematics to communicate easily with college students and advanced scientists. Applications include but are not limited to Remote Sensing, Land Change Science, and Geographic Information Science.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Source of Description Description based on print version record.
Series Advances in geographic information science.
Available in Other Form Metrics that make a difference.
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Record Appears in Online Resources > Ebooks
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Chapter 1: Binary Variable Versus Binary Variable
Chapter 2: Binary Variable Versus Rank Variable
Chapter 3: Application of the Total Operating Characteristic
Chapter 4: Categorical Variable Versus Categorical Variable
Chapter 5: Application to Categorical Error Assessment with Sampling
Chapter 6: Multiple Spatial Resolutions for Categorical Variables
Chapter 7: Application to Categorical Temporal Change
Chapter 8: Interval Variable Versus Interval Variable
Chapter 9: Application to Interval Temporal Change
Chapter 10: Indices of Agreement
Chapter 11: Vector Variable Versus Vector Variable
Chapter 12: Commandments to Avoid Deadly Sins.

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