Opening book details…
Can I read Foundations of Agnostic Statistics on EtoBox?
Foundations of Agnostic Statistics by Peter M. Aronow; Benjamin T. Miller is a mathematics available to read on EtoBox.
What is Foundations of Agnostic Statistics about?
Reflecting a sea change in how empirical research has been conducted over the past three decades, Foundations of Agnostic Statistics presents an innovative treatment of modern statistical theory for the social and health sciences. This book develops the fundamentals of what the authors call agnostic statistics, which considers what can be learned about the world without assuming that there exists a simple generative model that can be known to be true. Aronow and Miller provide the foundations for statistical inference for researchers unwilling to make assumptions beyond what they or their audience would find credible. Building from first principles, the book covers topics including estimation theory, regression, maximum likelihood, missing data, and causal inference. Using these principles, readers will be able to formally articulate their targets of inquiry, distinguish substantive assumptions from statistical assumptions, and ultimately engage in cutting-edge quantitative empirical research that contributes to human knowledge.
Who reads Foundations of Agnostic Statistics?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Peter M. Aronow; Benjamin T. Miller
- Publisher
- Cambridge University Press (Virtual Publishing)
- Published
- 2019
- Language
- EN
- ISBN
- 9781316831762
- Category
- mathematics
- Subjects
- Computer Science, Mathematics, Stem
- Rating
- 4.3 / 5 (33 ratings)
- Updated
- 2026-03-14
More by Peter M. Aronow; Benjamin T. Miller
Browse all works by Peter M. Aronow; Benjamin T. Miller
Similar books
- The Foundations of Statistics — by Leonard J. Savage (1972)
- Foundations of Probability Theory, Statistical Inference, and Statistical Theories of Science : Volume I Foundations and Philosophy of Epistemic Applications of Probability Theory — edited by W. L. Harper and C. A. Hooker (2012)
- The Foundations of Statistics : a Simulation-based Approach — Michael Broe Shravan Vasishth (2011)
- Statistics and the Media : Foundations in Statistical Thinking Through Media Examples — Donoghue, Anthony, author (2018)
- Fundamentals Of Social Statistics — Kirk W. Elifson; Richard P. Runyon; Audrey Haber (1982)
- Breakthroughs in Statistics: Volume 1: Foundations and Basic Theory (Springer Series in Statistics / Perspectives in Statistics) — Seymour Geisser (auth.), Samuel Kotz, Norman L. Johnson (1992)