یادداشتهای مربوط به کتابنامه ، واژه نامه و نمایه های داخل اثر
متن يادداشت
Includes bibliographical references (pages 288-292) and index.
یادداشتهای مربوط به مندرجات
متن يادداشت
Part I. Probability : Probalbility theory -- Summarizing distribution -- Part II. Statistics : Learning from random samples -- Regression -- Parametric models -- Part III. Identification : Missing data -- Causal inference.
بدون عنوان
2
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
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.
ویراست دیگر از اثر در قالب دیگر رسانه
شماره استاندارد بين المللي کتاب و موسيقي
9781107178915
موضوع (اسم عام یاعبارت اسمی عام)
موضوع مستند نشده
Quantitative research.
موضوع مستند نشده
Statistics.
موضوع مستند نشده
POLITICAL SCIENCE / General.
موضوع مستند نشده
Quantitative research.
موضوع مستند نشده
Statistics.
رده بندی ديویی
شماره
001
.
4/2
ويراست
23
رده بندی کنگره
شماره رده
QA76
.
9
.
Q36
نشانه اثر
A76
2019
سایر رده بندی ها
شماره رده
POL000000
کد سيستم
bisacsh
نام شخص به منزله سر شناسه - (مسئولیت معنوی درجه اول )