MARC details
| 000 -LEADER |
|---|
| fixed length control field |
04158cam a2200541Ki 4500 |
| 001 - CONTROL NUMBER |
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| control field |
9781003194156 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
FlBoTFG |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20240521171609.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS |
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| fixed length control field |
m o d |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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| fixed length control field |
cr cnu|||unuuu |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
210810s2021 xx o 000 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781003194156 |
| Qualifying information |
(electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
100319415X |
| Qualifying information |
(electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781000427899 |
| Qualifying information |
(electronic bk. : PDF) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
1000427897 |
| Qualifying information |
(electronic bk. : PDF) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781000427929 |
| Qualifying information |
(electronic bk. : EPUB) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
1000427927 |
| Qualifying information |
(electronic bk. : EPUB) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| Canceled/invalid ISBN |
9781032041742 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| Canceled/invalid ISBN |
9781032046631 |
| 035 ## - SYSTEM CONTROL NUMBER |
|---|
| System control number |
(OCoLC)1263243189 |
| 035 ## - SYSTEM CONTROL NUMBER |
|---|
| System control number |
(OCoLC-P)1263243189 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
OCoLC-P |
| Language of cataloging |
eng |
| Description conventions |
rda |
| -- |
pn |
| Transcribing agency |
OCoLC-P |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
QA278.2 |
| 072 #7 - SUBJECT CATEGORY CODE |
|---|
| Subject category code |
BUS |
| Subject category code subdivision |
061000 |
| Source |
bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE |
|---|
| Subject category code |
MAT |
| Subject category code subdivision |
029000 |
| Source |
bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE |
|---|
| Subject category code |
JMB |
| Source |
bicssc |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
519.5/36 |
| Edition number |
23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
McNulty, Keith, |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Handbook of regression modeling in people analytics : |
| Remainder of title |
with examples in R and Python / |
| Statement of responsibility, etc. |
Keith McNulty. |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
First edition. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
[Place of publication not identified] : |
| Name of producer, publisher, distributor, manufacturer |
Chapman and Hall/CRC, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2021. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
1 online resource (xvi, 256 pages). |
| 336 ## - CONTENT TYPE |
|---|
| Content type term |
text |
| Content type code |
txt |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
|---|
| Media type term |
computer |
| Media type code |
c |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
|---|
| Carrier type term |
online resource |
| Carrier type code |
cr |
| Source |
rdacarrier |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
1. The Importance of Regression in People Analytics. 2. The Basics of the R Programming Language. 3. Statistics Foundations. 4. Linear Regression for Continuous Outcomes. 5. Binomial Logistic Regression for Binary Outcomes. 6. Multinomial Logistic Regression for Nominal Category Outcomes. 7. Ordinal Logistic Regression for Ordered Category Outcomes. 8. Modeling Explicit and Latent Hierarchical Structure in Data. 9. Survival Analysis for Modeling the Occurrence of Singular Events Over Time. 10. Alternative Technical Approaches in R and Python. 11. Power Analysis to Estimate Required Sample Sizes for Inferential Modeling. 12. Further Exercises for Practice. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
Despite the recent rapid growth in machine learning and predictive analytics, many of the statistical questions that are faced by researchers and practitioners still involve explaining why something is happening. Regression analysis is the best 'swiss army knife' we have for answering these kinds of questions. This book is a learning resource on inferential statistics and regression analysis. It teaches how to do a wide range of statistical analyses in both R and in Python, ranging from simple hypothesis testing to advanced multivariate modelling. Although it is primarily focused on examples related to the analysis of people and talent, the methods easily transfer to any discipline. The book hits a 'sweet spot' where there is just enough mathematical theory to support a strong understanding of the methods, but with a step-by-step guide and easily reproducible examples and code, so that the methods can be put into practice immediately. This makes the book accessible to a wide readership, from public and private sector analysts and practitioners to students and researchers. Key Features:" 16 accompanying datasets across a wide range of contexts (e.g. academic, corporate, sports, marketing) " Clear step-by-step instructions on executing the analyses. " Clear guidance on how to interpret results. " Primary instruction in R but added sections for Python coders. " Discussion exercises and data exercises for each of the main chapters." Final chapter of practice material and datasets ideal for class homework or project work. |
| 588 ## - SOURCE OF DESCRIPTION NOTE |
|---|
| Source of description note |
OCLC-licensed vendor bibliographic record. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Regression analysis. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Mathematical statistics. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
R (Computer program language) |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Python (Computer program language) |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
BUSINESS & ECONOMICS / Statistics |
| Source of heading or term |
bisacsh |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
MATHEMATICS / Probability & Statistics / General |
| Source of heading or term |
bisacsh |
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
|---|
| Materials specified |
Taylor & Francis |
| Uniform Resource Identifier |
<a href="https://www.taylorfrancis.com/books/9781003194156">https://www.taylorfrancis.com/books/9781003194156</a> |
| 856 42 - ELECTRONIC LOCATION AND ACCESS |
|---|
| Materials specified |
OCLC metadata license agreement |
| Uniform Resource Identifier |
<a href="http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf">http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Ebooks |
