Categorical data analysis and multilevel modeling using R / (Record no. 39377)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02070cam a2200181 i 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781544324906 |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 519.0285133 |
| Item number | XIN-C |
| 100 1# - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Liu, Xing |
| Relator term | author. |
| 245 10 - TITLE STATEMENT | |
| Title | Categorical data analysis and multilevel modeling using R / |
| Statement of responsibility, etc | Xing Liu, |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | London; |
| Name of publisher | Sage Publishing |
| Year of publication | 2023. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | xxxiii, 708 p. : |
| Other physical details | illustrations ; |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc | Includes bibliographical references (pages 689-694) and index. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | R basics -- Review of basic statistics -- Logistic regression for binary data -- Proportional odds models for ordinal response variables -- Partial proportional odds models and generalized ordinal logistic regression models -- Other ordinal logistic regression models -- Multinomial logistic regression models -- Poisson regression models -- Negative binomial regression models and zero-inflated models -- Multilevel modeling for continuous response variables -- Multilevel modeling for binary response variables -- Multilevel modeling for ordinal response variables -- Multilevel modeling for count response variables -- Multilevel modeling for nominal response variables -- Bayesian generalized linear models -- Bayesian multilevel modeling of categorical response variables. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | "Categorical Data Analysis and Multilevel Modeling Using R provides a practical guide to regression techniques for analyzing binary, ordinal, nominal, and count response variables using the R software. Author Xing Liu offers a unified framework for both single-level and multilevel modeling of categorical and count response variables with both frequentist and Bayesian approaches. Each chapter demonstrates how to conduct the analysis using R, how to interpret the models, and how to present the results for publication. A companion website for this book contains PowerPoint slides and solutions for the end-of-chapter exercises on the instructor site, and datasets and R commands used in the book on the student site"-- |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Multilevel models (Statistics) |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | R (Computer program language) |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Books |
| Withdrawn status | Lost status | Damaged status | Not for loan | Home library | Current library | Date acquired | Source of acquisition | Cost, normal purchase price | Bill Date | Total Checkouts | Full call number | Accession Number | Date last seen | Cost, replacement price | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| NASSDOC Library | NASSDOC Library | 21/03/2024 | Overseas Press India Limited | 5690.68 | 20-03-2024 | 519.02855133 LIU-C | 54451 | 24/05/2024 | 8754.90 | 24/05/2024 | Books |