Data analysis using hierarchical generalized linear models with R / (Record no. 59044)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01577cam a2200205 i 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781138627826 (hardback : alk. paper) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 1138627828 (hardback : alk. paper) |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 519.5 |
| Item number | LEE/D |
| 100 1# - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Lee, Youngjo. |
| 245 10 - TITLE STATEMENT | |
| Title | Data analysis using hierarchical generalized linear models with R / |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | CRC Press |
| Name of publisher | Boca Raton |
| Year of publication | 2017 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | xii, 321 p. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | Since their introduction, hierarchical generalized linear models (HGLMs) have proven useful in various fields by allowing random effects in regression models. Interest in the topic has grown, and various practical analytical tools have been developed. This book summarizes developments within the field and, using data examples, illustrates how to analyse various kinds of data using R. It provides a likelihood approach to advanced statistical modelling including generalized linear models with random effects, survival analysis and frailty models, multivariate HGLMs, factor and structural equation models, robust modelling of random effects, models including penalty and variable selection and hypothesis testing.<br/><br/>This example-driven book is aimed primarily at researchers and graduate students, who wish to perform data modelling beyond the frequentist framework, and especially for those searching for a bridge between Bayesian and frequentist statistics. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Linear models (Statistics) |
| 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) |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Rönnegård, Lars, |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Noh, Maengseok. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | BK |
| 952 ## - LOCATION AND ITEM INFORMATION (KOHA) | |
| Withdrawn status | |
| Lost status | |
| Damaged status | |
| Home library | Shelving location | Date acquired | Full call number | Accession Number | Koha item type |
|---|---|---|---|---|---|
| Kannur University Central Library | Stack | 21/07/2020 | 519.5 LEE/D | 50496 | BK |