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This repository provides metadata of IIMB Publications and aimed at creating and preserving an archive of Institution scholarship. IIMB Publications include Articles, Working Papers (FULL TEXT), Book Chapters published by Faculty, Doctoral Dissertations by FPM Scholars and Project reports of Students enrolled in various courses of IIMB.
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https://repository.iimb.ac.in/handle/2074/11153| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Nagadevara, Vishnuprasad | - |
| dc.date.accessioned | 2020-03-27T13:18:57Z | - |
| dc.date.available | 2020-03-27T13:18:57Z | - |
| dc.date.issued | 2019 | - |
| dc.identifier.isbn | 9783319688367 | - |
| dc.identifier.isbn | 9783319688374 | - |
| dc.identifier.issn | 2157-3611 | - |
| dc.identifier.uri | https://repository.iimb.ac.in/handle/2074/11153 | - |
| dc.description.abstract | Three topics are covered in this chapter. In the main body of the chapter, the tools for estimating the parameters of regression models when the response variable is binary or categorical are presented. The appendices cover two other important techniques, namely, maximum likelihood estimate (MLE) and how to deal with missing data. | - |
| dc.publisher | Springer New York LLC | - |
| dc.subject | Statistics | - |
| dc.subject | Regression analysis | - |
| dc.title | Advanced regression analysis | - |
| dc.type | Book Chapter | - |
| dc.identifier.doi | 10.1007/978-3-319-68837-4_8 | - |
| dcterms.isPartOf | Essentials of Business Analytics: An Introduction to the Methodology and its Applications | - |
| dc.pages | 247-281p. | - |
| dc.vol.no | Vol.264 | - |
| Appears in Collections: | 2010-2019 | |
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