Exploratory data analysis with MATLAB®
Exploratory data analysis (EDA) was conceived at a time when computers were not widely used, and thus computational ability was rather limited. As computational sophistication has increased, EDA has become an even more powerful process for visualizing and summarizing data before making model assumpt...
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| Main Authors: | , |
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| Format: | Book |
| Language: | English |
| Published: |
Boca Raton, FL
Chapman & Hall/CRC
2005
©2005 |
| Subjects: | |
| Online Access: | Click Here to View Status and Holdings. |
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| 041 | 0 | # | |a English |
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| 100 | 1 | # | |a Martinez, Wendy L. |e author |
| 245 | 1 | 0 | |a Exploratory data analysis with MATLAB® |c Wendy L. Martinez, Angel R. Martinez |
| 264 | # | 1 | |a Boca Raton, FL |b Chapman & Hall/CRC |c 2005 |
| 264 | # | 1 | |c ©2005 |
| 300 | # | # | |a xv, 405 pages |b illustrations |c 24 cm |
| 336 | # | # | |a text |2 rdacontent |
| 337 | # | # | |a unmediated |2 rdamedia |
| 338 | # | # | |a volume |2 rdacarrier |
| 504 | # | # | |a Includes bibliographical references (page 377-393) and index |
| 520 | # | # | |a Exploratory data analysis (EDA) was conceived at a time when computers were not widely used, and thus computational ability was rather limited. As computational sophistication has increased, EDA has become an even more powerful process for visualizing and summarizing data before making model assumptions to generate hypotheses, encompassing larger and more complex data sets. There are many resources for those interested in the theory of EDA, but this is the first book to use MATLAB to illustrate the computational aspects of this discipline. |
| 640 | 0 | 0 | |a Engineering design |
| 650 | # | 0 | |a Mathematical statistics |
| 650 | # | 0 | |a Multivariate analysis |
| 700 | 1 | # | |a Martinez, Angel R |e author |
| 856 | 4 | 0 | |z Click Here to View Status and Holdings. |u https://opac.uitm.edu.my/opac/detailsPage/detailsHome.jsp?tid=329287 |
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Exploratory data analysis with MATLAB