Modeling with Data: Tools and Techniques for Scientific Computing
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Princeton, N.J.
Princeton University Press
2008
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| Subjects: | |
| Online Access: | DE-1043 DE-1046 DE-858 DE-859 DE-860 DE-739 Volltext Volltext |
| Item Description: | Main description: Modeling with Data fully explains how to execute computationally intensive analyses on very large data sets, showing readers how to determine the best methods for solving a variety of different problems, how to create and debug statistical models, and how to run an analysis and evaluate the results. Ben Klemens introduces a set of open and unlimited tools, and uses them to demonstrate data management, analysis, and simulation techniques essential for dealing with large data sets and computationally intensive procedures. He then demonstrates how to easily apply these tools to the many threads of statistical technique, including classical, Bayesian, maximum likelihood, and Monte Carlo methods. Klemens's accessible survey describes these models in a unified and nontraditional manner, providing alternative ways of looking at statistical concepts that often befuddle students. The book includes nearly one hundred sample programs of all kinds. Links to these programs will be available on this page at a later date. Modeling with Data will interest anyone looking for a comprehensive guide to these powerful statistical tools, including researchers and graduate students in the social sciences, biology, engineering, economics, and applied mathematics |
| Physical Description: | 1 Online-Ressource (472 S.) |
| ISBN: | 9781400828746 |
| DOI: | 10.1515/9781400828746 |
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| spelling | Klemens, Ben Verfasser aut Modeling with Data Tools and Techniques for Scientific Computing Princeton, N.J. Princeton University Press 2008 1 Online-Ressource (472 S.) txt rdacontent c rdamedia cr rdacarrier Main description: Modeling with Data fully explains how to execute computationally intensive analyses on very large data sets, showing readers how to determine the best methods for solving a variety of different problems, how to create and debug statistical models, and how to run an analysis and evaluate the results. Ben Klemens introduces a set of open and unlimited tools, and uses them to demonstrate data management, analysis, and simulation techniques essential for dealing with large data sets and computationally intensive procedures. He then demonstrates how to easily apply these tools to the many threads of statistical technique, including classical, Bayesian, maximum likelihood, and Monte Carlo methods. Klemens's accessible survey describes these models in a unified and nontraditional manner, providing alternative ways of looking at statistical concepts that often befuddle students. The book includes nearly one hundred sample programs of all kinds. Links to these programs will be available on this page at a later date. Modeling with Data will interest anyone looking for a comprehensive guide to these powerful statistical tools, including researchers and graduate students in the social sciences, biology, engineering, economics, and applied mathematics Datenmodell (DE-588)4192516-6 gnd rswk-swf Datenanalyse (DE-588)4123037-1 gnd rswk-swf Datenmodell (DE-588)4192516-6 s Datenanalyse (DE-588)4123037-1 s 1\p DE-604 https://doi.org/10.1515/9781400828746 Verlag Volltext http://www.degruyter.com/search?f_0=isbnissn&q_0=9781400828746&searchTitles=true Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Klemens, Ben Modeling with Data Tools and Techniques for Scientific Computing Datenmodell (DE-588)4192516-6 gnd Datenanalyse (DE-588)4123037-1 gnd |
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| title | Modeling with Data Tools and Techniques for Scientific Computing |
| title_auth | Modeling with Data Tools and Techniques for Scientific Computing |
| title_exact_search | Modeling with Data Tools and Techniques for Scientific Computing |
| title_full | Modeling with Data Tools and Techniques for Scientific Computing |
| title_fullStr | Modeling with Data Tools and Techniques for Scientific Computing |
| title_full_unstemmed | Modeling with Data Tools and Techniques for Scientific Computing |
| title_short | Modeling with Data |
| title_sort | modeling with data tools and techniques for scientific computing |
| title_sub | Tools and Techniques for Scientific Computing |
| topic | Datenmodell (DE-588)4192516-6 gnd Datenanalyse (DE-588)4123037-1 gnd |
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