Generalized linear models for bounded and limited quantitative variables / Michael Smithson, Yiyun Shou
Material type:
TextSeries: Quantitative applications in the social sciences ; no. 181Publisher: Thousand Oaks, California : SAGE, [2020]Description: xiii, 117 pages : illustrationsContent type: - text
- unmediated
- volume
- 9781544334530
- 519.5
| Item type | Current library | Collection | Call number | Status | Barcode | |
|---|---|---|---|---|---|---|
Book
|
Main Library Reference Section | Reference | R 519.5 Sm664g 2020 (Browse shelf(Opens below)) | Room use only | 52915QC |
Browsing Main Library shelves, Shelving location: Reference Section, Collection: Reference Close shelf browser (Hides shelf browser)
| R 519.5 J24e 2020 Essentials of business statistics : communicating with numbers | R 519.5 R989m 2007 Modern experimental design | R 519.5 Se469b 2017 Business statistics | R 519.5 Sm664g 2020 Generalized linear models for bounded and limited quantitative variables | R 519.5 Sp769b 2007 Basic statistical analysis | R 519.5 T646f 2016 Fundamental statistics for the social and behavioral sciences | R 519.50243 G776e 2018 Essentials of statistics for the behavioral sciences |
Includes bibliographical references (pages 105-109) and index.
Introduction and overview
Models for singly-bounded variables
Models for doubly-bounded variables
Quantile models for bounded variables
Censored and truncated variables
Extensions and conclusions
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