Statistical Computing in C++ and R (Hardcover)

Statistical Computing in C++ and R (Hardcover)

作者: Randall L. Eubank Ana Kupresanin
出版社: CRC
出版在: 2011-12-01
ISBN-13: 9781420066500
ISBN-10: 1420066501
裝訂格式: Hardcover
總頁數: 556 頁





內容描述


With the advancement of statistical methodology inextricably linked to the use of computers, new methodological ideas must be translated into usable code and then numerically evaluated relative to competing procedures. In response to this, Statistical Computing in C++ and R concentrates on the writing of code rather than the development and study of numerical algorithms per se. The book discusses code development in C++ and R and the use of these symbiotic languages in unison. It emphasizes that each offers distinct features that, when used in tandem, can take code writing beyond what can be obtained from either language alone. The text begins with some basics of object-oriented languages, followed by a "boot-camp" on the use of C++ and R. The authors then discuss code development for the solution of specific computational problems that are relevant to statistics including optimization, numerical linear algebra, and random number generation. Later chapters introduce abstract data structures (ADTs) and parallel computing concepts. The appendices cover R and UNIX Shell programming. Features Includes numerous student exercises ranging from elementary to challenging Integrates both C++ and R for the solution of statistical computing problems Uses C++ code in R and R functions in C++ programs Provides downloadable programs, available from the authors’ website The translation of a mathematical problem into its computational analog (or analogs) is a skill that must be learned, like any other, by actively solving relevant problems. The text reveals the basic principles of algorithmic thinking essential to the modern statistician as well as the fundamental skill of communicating with a computer through the use of the computer languages C++ and R. The book lays the foundation for original code development in a research environment.




相關書籍

Power Pivot and Power BI: The Excel User's Guide to DAX, Power Query, Power BI & Power Pivot in Excel 2010-2016, 2/e (Paperback)

作者 Rob Collie Avichal Singh

2011-12-01

統計之美:人工智慧時代的科學思維, 2/e

作者 李艦 海恩 林志娟 張慶暉 博士 審閱

2011-12-01

大數據時代一定要會的 SQL 商業資料分析術

作者 加嵜 長門 田宮 直人 朱浚賢

2011-12-01