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OCoLC |
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230607s2023 sz ob 000 0 eng d |
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|a YDX
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|a 1381713790
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|a 9783031214806
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|a 10.1007/978-3-031-21480-6
|2 doi
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|a (OCoLC)1381202437
|z (OCoLC)1381713790
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|a KJT
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|a HCDD
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| 100 |
1 |
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|a McGibney, Daniel P.,
|e author.
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| 245 |
1 |
0 |
|a Applied linear regression for business analytics with R :
|b a practical guide to data science with case studies /
|c Daniel P. McGibney.
|
| 264 |
|
1 |
|a Cham, Switzerland :
|b Springer,
|c [2023]
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| 300 |
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|a 1 online resource.
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| 336 |
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
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| 490 |
1 |
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|a International Series in Operations Research & Management Science ;
|v volume 337
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| 504 |
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|a Includes bibliographical references.
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| 505 |
0 |
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|a 1. Introduction -- 2. Basic Statistics and Functions using R -- 3. Regression Fundamentals -- 4. Simple Linear Regression -- 5. Multiple Regression -- 6. Estimation Intervals and Analysis of Variance -- 7. Predictor Variable Transformations -- 8. Model Diagnostics -- 9. Variable Selection.
|
| 520 |
|
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|a Applied Linear Regression for Business Analytics with R introduces regression analysis to business students using the R programming language with a focus on illustrating and solving real-time, topical problems. Specifically, this book presents modern and relevant case studies from the business world, along with clear and concise explanations of the theory, intuition, hands-on examples, and the coding required to employ regression modeling. Each chapter includes the mathematical formulation and details of regression analysis and provides in-depth practical analysis using the R programming language.
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| 588 |
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|a Description based on online resource; title from digital title page (viewed on July 18, 2023).
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| 650 |
|
0 |
|a Business
|x Data processing.
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| 650 |
|
0 |
|a R (Computer program language)
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| 650 |
|
0 |
|a Regression analysis.
|
| 650 |
|
7 |
|a Business
|x Data processing
|2 fast
|
| 650 |
|
7 |
|a R (Computer program language)
|2 fast
|
| 650 |
|
7 |
|a Regression analysis
|2 fast
|
| 776 |
0 |
8 |
|c Original
|z 303121479X
|z 9783031214790
|w (OCoLC)1347786097
|
| 830 |
|
0 |
|a International series in operations research & management science ;
|v 337.
|
| 856 |
4 |
0 |
|u https://holycross.idm.oclc.org/login?auth=cas&url=https://link.springer.com/10.1007/978-3-031-21480-6
|y Click for online access
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|a SPRING-ALL2023
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|b HCD
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