Introduction to Statistical Modelling and Inference (PDF)
The book is based on the model-based theory, used widely by scientists in many fields. It covers simple experimental and survey designs, and probability models up to and including generalised linear (regression) models and some extensions of these, including finite mixtures.
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The book is based on the model-based theory, used widely by scientists in many fields. It covers simple experimental and survey designs, and probability models up to and including generalised linear (regression) models and some extensions of these, including finite mixtures.
He has been a visiting researcher and also held consulting positions at the Educational Testing Service (Fulbright Senior Fellow 1971-2 and Senior Statistician 1988-89). He was the Chief Statistician 2000 - 2002 at the Education Statistics Services Institute, American Institutes for Research, Washington DC and advisor to the National Center for Education Statistics, US Department
of Education.
He is a Fellow of American Statistical Association; Elected Member at International Statistical Institute, and a Honorary member of Statistical Modelling Society.
He is a Honorary Professorial Associate at the University of Melbourne: Department of Psychology 2004 - 2008, Department (now School) of Mathematics and Statistics 2008 - current.
- Autor: Murray Aitkin
- 2022, 1. Auflage, 390 Seiten, Englisch
- Verlag: Taylor & Francis
- ISBN-10: 100064457X
- ISBN-13: 9781000644579
- Erscheinungsdatum: 30.09.2022
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Größe: 18 MB
- Ohne Kopierschutz
- Vorlesefunktion
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