Statistical computing in C++ and R / (Record no. 32151)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02302cam a2200205 a 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781420066500 (hardback) |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 519.50285/5133 |
| Item number | EUB/S |
| 100 1# - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Eubank, Randall L., |
| 245 10 - TITLE STATEMENT | |
| Title | Statistical computing in C++ and R / |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Boca Raton : |
| Name of publisher | CRC Press, |
| Year of publication | c2012. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | xv, 540 p. : |
| Other physical details | ill. ; |
| 490 0# - SERIES STATEMENT | |
| Series statement | Chapman & Hall/CRC the R series |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | "Preface When one looks at a book with 'statistical computing' in the title, the expectation is most likely for a treatment of the topic that has close ties to numerical analysis. There are many texts written from this perspective that provide valuable resources for those who are actively involved in the solution of computing problems that arise in statistics. The presentation in the present text represents a departure from this classical emphasis in that it concentrates on the writing of code rather than the development and study of algorithms, per se. The goal is to provide a treatment of statistical computing that lays a foundation for original code development in a research environment. The advancement of statistical methodology is now inextricably linked to the use of computers. New methodological ideas must be translated into usable code and then numerically evaluated relative to competing procedures. As a result, many statisticians expend significant amounts of their creative energy while sitting in front of a computer monitor. The end products from the vast majority of these efforts are unlikely to be reflected in changes to core aspects of numerical methods or computer hardware. Nonetheless, they are modern statisticians that are (often very) involved in computing. This book is written with that particular audience in mind. What does a modern statistician need to know about computing? Our belief is that they need to understand at least the basic principles of algorithmic thinking. 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"-- |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Statistics |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | C++ (Computer program language) |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | R (Computer program language) |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | MATHEMATICS / Probability & Statistics / General. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Kupresanin, Ana. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | BK |
| 952 ## - LOCATION AND ITEM INFORMATION (KOHA) | |
| Withdrawn status | |
| Lost status | |
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| Current library | |
| Collection code | Home library | Date acquired | Cost, normal purchase price | Full call number | Accession Number | Koha item type |
|---|---|---|---|---|---|---|
| Stack | Kannur University Central Library | 25/05/2015 | 6372.00 | 519.50285/5133 EUB/S | 38287 | BK |