책 세부 정보
형식
페이퍼백
페이지
137
언어
영어
출판됨
Jun 12, 2013
출판사
Springer
판
2013
ISBN-10
3642329306
ISBN-13
9783642329302
설명
This work offers a comprehensive overview of the essential formulas used in linear regression analysis, complemented by insights into related matrix theory. The authors, Simo Puntanen, George P. H. Styan, and Jarkko Isotalo, draw on their extensive expertise to present these formulas in a clear and accessible manner, making them invaluable for both students and professionals.
Through careful explanation and examples, the book illustrates how these formulas underpin various statistical methodologies, highlighting their practical applications in data analysis. The focus on matrix theory enriches the reader's understanding, bridging the gap between theoretical concepts and real-world usage.
Ideal for those engaged in statistics, data science, or mathematics, this concise resource underscores the beauty of mathematical formulations while emphasizing their significance in analytical practices. Readers are encouraged to appreciate the elegance of formulas, viewing them not just as tools but as vital components of statistical reasoning and problem-solving.
Through careful explanation and examples, the book illustrates how these formulas underpin various statistical methodologies, highlighting their practical applications in data analysis. The focus on matrix theory enriches the reader's understanding, bridging the gap between theoretical concepts and real-world usage.
Ideal for those engaged in statistics, data science, or mathematics, this concise resource underscores the beauty of mathematical formulations while emphasizing their significance in analytical practices. Readers are encouraged to appreciate the elegance of formulas, viewing them not just as tools but as vital components of statistical reasoning and problem-solving.
장르들
비즈니스 & 경제