An Introduction to Political and Social Data Analysis (With R)?provides students with an accessible overview of practical data analysis while also providing a gentle introduction t...
In this book, readers embark on an in-depth journey into conducting complex survey analysis with the {srvyr} package and tidyverse family of functions from the R programming langua...
최근 ChatGPT의 등장과 활발한 적용 사례를 접하게 되면서 인공지능(AI)에 대한 관심이 고조되고 있으며, 이와 함께 머신러닝 및 데이터마이닝 기법의 알고리즘 구현 과정 이해의 필요성이 증대하게 되었다. 이 책을 통해 이러한 궁금점을 해결할 수 있도록 각 기법의 원리를 보다 쉽게 이해할 수 있도록 설명하였으며, 데이터...
The book studies in detail the Poisson process, which is the most frequently applied stochastic process in a variety of fields, with its extension to a renewal process.The book als...
This book provides a conceptual introduction to regression and machine learning and its applications in education research. The book discusses its diverse applications, including i...
This book provides a conceptual introduction to regression and machine learning and its applications in education research. The book discusses its diverse applications, including i...
It includes the transformation of existing, and the innovation of new approaches derived from multidisciplinary spheres of influence such as statistics, machine learning, psychomet...
Multiple factor analysis (MFA) enables users to analyze tables of individuals and variables in which the variables are structured into quantitative, qualitative, or mixed groups. W...
In medical and social science research, MGLMMs help disentangle state dependence from incidental parameters. Focusing on these sophisticated data analysis techniques, this work pre...
