Bayesian Statistical Inference (Quantitative Applications in the Social Sciences)

✍ Scribed by Professor Gudmund R. Iversen

Publisher: Sage Publications, Inc
Year: 1984
Tongue: English
Leaves: 80
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

Empirical researchers, for whom Iversen's volume provides an introduction, have generally lacked a grounding in the methodology of Bayesian inference. As a result, applications are few. After outlining the limitations of classical statistical inference, the author proceeds through a simple example to explain Bayes' theorem and how it may overcome these limitations. Typical Bayesian applications are shown, together with the strengths and weaknesses of the Bayesian approach. This monograph thus serves as a companion volume for Henkel's Tests of Significance (QASS vol 4).

📜 SIMILAR VOLUMES

Ecological Inference (Quantitative Appli

📁 Ecological Inference (Quantitative Applications in the Social Sciences)

✍ Laura Irwin Langbein, Allan J. Lichtman 📂 Library 📅 1978 🏛 Sage Publications, Inc 🌐 English

Bayesian Inference in the Social Science

📁 Bayesian Inference in the Social Sciences

✍ Ivan Jeliazkov, Xin-She Yang 📂 Library 📅 2014 🏛 Wiley 🌐 English

Presents new models, methods, and techniques and considers important real-world applications in political science, sociology, economics, marketing, and finance Emphasizing interdisciplinary coverage, Bayesian Inference in the Social Sciences builds upon the recent

Nonparametric Statistics: An Introductio

📁 Nonparametric Statistics: An Introduction (Quantitative Applications in the Social Sciences)

✍ Professor Jean D. Gibbons 📂 Library 📅 1992 🏛 Sage Publications, Inc 🌐 English

Through the use of actual research investigations that have appeared in recent social science journals, Gibbons shows the reader the specific methodology and logical rationale for many of the best-known and most frequently used nonparametric methods that are applicable to most small and large sample

Bayesian Statistics for the Social Scien

📁 Bayesian Statistics for the Social Sciences (Methodology in the Social Sciences)

✍ David Kaplan 📂 Library 📅 2024 🏛 The Guilford Press 🌐 English

The second edition of this practical book equips social science researchers to apply the latest Bayesian methodologies to their data analysis problems. It includes new chapters on model uncertainty, Bayesian variable selection and sparsity, and Bayesian workflow for statistical mo

A Mathematical Primer for Social Statist

📁 A Mathematical Primer for Social Statistics (Quantitative Applications in the Social Sciences)

✍ Dr. John Fox 📂 Library 📅 2008 🏛 Sage Publications, Inc 🌐 English

Quantile Regression (Quantitative Applic

📁 Quantile Regression (Quantitative Applications in the Social Sciences) (v. 149)

✍ Lingxin Hao, Daniel Q. Naiman 📂 Library 📅 2007 🌐 English

Quantile Regression, the first book of Hao and Naiman's two-book series, establishes the seldom recognized link between inequality studies and quantile regression models. Though separate methodological literature exists for each subject, the authors seek to explore the natural connections between th