رکورد قبلیرکورد بعدی

" Foundations of agnostic statistics / "


Document Type : BL
Record Number : 839169
Main Entry : Aronow, Peter M.
Title & Author : Foundations of agnostic statistics /\ Peter M. Aronow, Benjamin T. Miller.
Publication Statement : Cambridge :: Cambridge University Press,, 2019.
Page. NO : 1 online resource (xviii, 298 pages)
ISBN : 1107178916
: : 1316631141
: : 1316831760
: : 9781107178915
: : 9781316631140
: : 9781316831762
: 9781107178915
: 9781316631140
Bibliographies/Indexes : Includes bibliographical references (pages 288-292) and index.
Contents : Part I. Probability : Probalbility theory -- Summarizing distribution -- Part II. Statistics : Learning from random samples -- Regression -- Parametric models -- Part III. Identification : Missing data -- Causal inference.
Abstract : 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.
Subject : Quantitative research.
Subject : Statistics.
Subject : POLITICAL SCIENCE / General.
Subject : Quantitative research.
Subject : Statistics.
Dewey Classification : ‭001.4/2‬
LC Classification : ‭QA76.9.Q36‬‭A76 2019‬
NLM classification : ‭POL000000‬bisacsh
Added Entry : Miller, Benjamin T.
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