Skip to content
Cart 
Register Sign in Wishlist
Foundations of Agnostic Statistics

Foundations of Agnostic Statistics

AUD$45.95 inc GST

  • Date Published: January 2019
  • availability: Available
  • format: Paperback
  • isbn: 9781316631140

AUD$ 45.95 inc GST
Paperback

Add to cart Add to wishlist

Other available formats:
Hardback


Looking for an inspection copy?

Please email academicmarketing@cambridge.edu.au to enquire about an inspection copy of this book

Description
Product filter button
Description
Contents
Resources
Courses
About the Authors
  • 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.

    • Provides a rigorous and targeted mathematical introduction to the statistics underlying modern statistical methodology in the social and health sciences
    • Prepares readers to go on to advanced study in statistical methodology, including in causal inference, nonparametric statistics, and econometrics
    • Develops the fundamentals of 'agnostic statistics' - an approach that asks what can be learned about the world under minimal assumptions
    Read more

    Customer reviews

    Not yet reviewed

    Be the first to review

    Review was not posted due to profanity

    ×

    , create a review

    (If you're not , sign out)

    Please enter the right captcha value
    Please enter a star rating.
    Your review must be a minimum of 12 words.

    How do you rate this item?

    ×

    Product details

    • Date Published: January 2019
    • format: Paperback
    • isbn: 9781316631140
    • length: 314 pages
    • dimensions: 228 x 151 x 14 mm
    • weight: 0.52kg
    • contains: 35 b/w illus.
    • availability: Available
  • Table of Contents

    Introduction
    Part I. Probability:
    1. Probability theory
    2. Summarizing distributions
    Part II. Statistics:
    3. Learning from random samples
    4. Regression
    5. Parametric models
    Part III. Identification:
    6. Missing data
    7. Causal inference.

  • Authors

    Peter M. Aronow, Yale University, Connecticut
    Peter M. Aronow is an Associate Professor of Political Science, Public Health (Biostatistics), and Statistics and Data Science at Yale University, Connecticut and is affiliated with the University's Institution for Social and Policy Studies, Center for the Study of American Politics, Institute for Network Science, and Operations Research Doctoral Program.

    Benjamin T. Miller, Yale University, Connecticut
    Benjamin T. Miller is a doctoral candidate in Political Science at Yale University, Connecticut. In 2012, Mr Miller received a B.A. in Economics and Mathematics from Amherst College.

Sign In

Please sign in to access your account

Cancel

Not already registered? Create an account now. ×

Sorry, this resource is locked

Please register or sign in to request access. If you are having problems accessing these resources please email lecturers@cambridge.org

Register Sign in
Please note that this file is password protected. You will be asked to input your password on the next screen.

» Proceed

You are now leaving the Cambridge University Press website. Your eBook purchase and download will be completed by our partner www.ebooks.com. Please see the permission section of the www.ebooks.com catalogue page for details of the print & copy limits on our eBooks.

Continue ×

Continue ×

Continue ×

Find content that relates to you

Join us online

This site uses cookies to improve your experience. Read more Close

Are you sure you want to delete your account?

This cannot be undone.

Cancel

Thank you for your feedback which will help us improve our service.

If you requested a response, we will make sure to get back to you shortly.

×
Please fill in the required fields in your feedback submission.
×