Park Min-kyu et al.: Sample Design and Statistical Inference Using SAS and R

The general use of terms such as data-based decision making and big data analysis recently shows the demand for rapidly increasing data in all fields of social science and natural science, including politics, economics, society and culture. The shift in thinking that the material-based decision-making, based on more scientific and rational data than intuition or empirical knowledge of a particular field, has been going on since the 18th century, and this seems to have been gaining its prominence. Traditional statistical data collection tools were used mainly for Subvey and statistical experiments, which led to the main objective of statistics in the simulations of the population using sample data. Recent studies of statistical methods for collecting and processing and analyzing traditional data have also been active in the advent of credit cards, mobile phone history, and other materials that are automatically produced and stored, as well as complex structures. There are various ways to collect data, but still the research and statistical experiments are being used to help us find answers to a specific purpose. Subvey in particular is very important as the only tool that can measure the thinking and values of individuals and communities, as well as the data to understand the reality of the group of interested people.

Korean title: SAS와 R을 활용한 표본설계와 통계적 추론

Korean author: 박민규 외

Korean publisher: 자유아카데미

ISBN-13: 9791158085575