Linear regression: an introduction to statistical models / (Record no. 132139)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02480nam a22003977a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | phtghnu |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240430151718.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | ta |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 201110s2021 cau 000 0 eng |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER | |
| LC control number | 2020949998 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781526424174 |
| Qualifying information | (paperback) |
| 040 ## - CATALOGING SOURCE | |
| Language of cataloging | eng |
| Description conventions | rda |
| Transcribing agency | HNU |
| 042 ## - AUTHENTICATION CODE | |
| Authentication code | pcc |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Edition number | 23 |
| Placement Code | GC |
| Classification number | 519.536 M36 |
| Item number | 2021 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Martin, Peter, |
| Relator term | author. |
| 245 10 - TITLE STATEMENT | |
| Title | Linear regression: an introduction to statistical models / |
| Statement of responsibility, etc. | Peter Martin. |
| 263 ## - PROJECTED PUBLICATION DATE | |
| Projected publication date | 2203 |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Thousand Oaks, California : |
| Name of producer, publisher, distributor, manufacturer | SAGE Publications Inc., |
| Date of production, publication, distribution, manufacture, or copyright notice | 2021. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xxii, 178 pages : |
| Other physical details | illustrations ; |
| Dimensions | 24 cm. |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Content type code | txt |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | unmediated |
| Media type code | n |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | volume |
| Carrier type code | nc |
| Source | rdacarrier |
| 490 ## - SERIES STATEMENT | |
| Series statement | The SAGE quantitative research kit |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Includes bibliographical references and index. |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | What is a statistical model?<br/>Simple linear regression<br/>Assumptions and transformations<br/>Multiple linear regression: A model for multivariate relationships<br/>Multiple linear regression: Inference, assumptions, and standardization<br/>Where to go from here |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Part of The SAGE Quantitative Research Kit, this text helps you make the crucial steps towards mastering multivariate analysis of social science data, introducing the fundamental linear and non-linear regression models used in quantitative research. Peter Martin covers both the theory and application of statistical models, and illustrates them with illuminating graphs, discussing: • Linear regression, including dummy variables and predictor transformations for curvilinear relationships • Binary, ordinal and multinomial logistic regression models for categorical data • Models for count data, including Poisson, negative binomial, and zero-inflated regression • Checking model assumptions and the dangers of overfitting |
| 521 ## - TARGET AUDIENCE NOTE | |
| Target audience note | College of Education |
| Source | Bachelor of Secondary Education major in Mathematics |
| 546 ## - LANGUAGE NOTE | |
| Language note | In English |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Regression analysis. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Mathematical models. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Quantitative research. |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) | |
| a | 0 |
| b | ibc |
| c | orignew |
| d | 2 |
| e | epcn |
| f | 20 |
| g | y-gencatlg |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Books |
| Classification part | 500-599 |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Total Checkouts | Full call number | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | GC | College Library | College Library | General Circulation Section | 09/19/2023 | Library Fund | GC 519.536 M36 2021 | HNU004841 | 08/29/2024 | 04/30/2024 | Books |
