Introduction to statistical modelling and inference

by Aitkin, Murray A.

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Title Statements

Full title :Introduction to statistical modelling and inference / Murray Aitkin.

Edition Statements

Publication Date:2022.
Edition:1st

Publication Statements

Publisher(s):Chapman & Hall/CRC
Place of Publication:Boca Raton
Language:eng
Publication Date:2022.

The Physical Object

Description:1 online resource

Edition Identifiers

ISBN:9781000644586, 1000644588, 9781000644579, 100064457X, 9781003216025, 1003216021
DOI:10.1201/9781003216025
oclc:on1353785400
Dewey Decimal:519.5

Preface. 1.1. What is Statistical Modelling? 1.2. What is Statistical Analysis? 1.3. What is Statistical Inference? 1.4. Why this book? 1.5. Why the focus on the Bayesian approach? 1.6. Coverage of this book. 1.7. Recent changes in technology. 1.8. Aims of the course. 2. What is (or are) Big Data? 3. Data and research studies. 3.1. Lifetimes of radio transceivers. 3.2. Clustering of V1 missile hits in South London. 3.3. Court case on vaccination risk. 3.4. Clinical trial of Depepsen for the treatment of duodenal ulcers. 3.5. Effectiveness of treatments for respiratory distress in newborn babies. 3.6. Vitamin K. 3.7. Species counts. 3.8. Toxicology in small animal experiments. 3.9. Incidence of Down's syndrome in four regions. 3.10. Fish species in lakes. 3.11. Absence from school. 3.12. Hostility in husbands of suicide attempters. 3.13. Tolerance of racial intermarriage. 3.14. Hospital bed use. 3.15. Dugong growth. 3.16. Simulated motorcycle collision. 3.17. Global warming. 3.18. Social group membership. 4. The StatLab data base. 4.1. Types of variables. 4.2. StatLab population questions. 5. Sample surveys -- should we believe …