From the very basics to linear models, this book provides a complete introduction to statistics, data analysis, and R for bioinformatics research and applications. It covers ANOVA,...
There are many methods for multiple testing adjustment and questions arise concerning when they should be used and how they may provide different results. This book focuses on mult...
The intended audience is leaders at financial institutions who want to build data science practices, analysts at financial institutions who want to work on data science teams, stud...
This book provides a systematic account of robust statistical methods, an area where the existing literature is dated, narrow, or treated in an overly theoretical manner. The autho...
Bridging the gap between introductory theory and practical knowledge, this second edition reflects the fast-moving field of DNA microarrays by adding new and updated chapters that ...
Over the last 30 years the practice and use of game theory has changed dramatically, yet textbooks continue to present game theory with algebraic formalism and toy models. This boo...
Geocomputation with R is for people who want to analyze, visualize, and model geographic data with open source software. The second edition features numerous updates, including the...
Geocomputation with R is for people who want to analyze, visualize, and model geographic data with open source software. The second edition features numerous updates, including the...
본문의 이해를 돕기 위한 예제를 추가하였다. 각 이론이 실제 문제 상황에서 어떻게 적용되는지를 보여주는 다양한 예제를 통해, 독자들이 수학적 개념을 보다 구체적으로 체감하고 응용할 수 있도록 구성하였다. 또, 연습문제를 대폭 확충하여 학습자 스스로 이론을 점검하고 체계적으로 훈련할 수 있도록 하였다. 다양한 난이도의 문제...
