Foundations of agnostic statistics / Peter M. Aronow, Benjamin T. Miller.

Cambridge, United Kingdom ; New York, NY : Cambridge University Press, 2019.

©2019.

xviii, 298 pages : illustrations ; 23 cm.

"The last three decades have seen a marked change in the manner in which quantitative empirical inquiry in the social and health sciences is conducted. Sometimes dubbed the "credibility revolution," this change has been characterized by a growing acknowledgment that the evidence that researchers adduce for their claims is often predicated on unsustainable assumptions. Our understanding of statistical and econometric tools has needed to change accordingly. We have found that conventional textbooks, which often begin with incredible modeling assumptions, are not well suited as a starting point for credible research"-- Provided by publisher.

ebook version :

English

November 10, 2022

Includes bibliographical references (pages 288-292) and index.