Statistical Inference Under Mixture Models / ICSA Book Series in Statistics (PDF)
64 DeutschlandCard Punkte sammeln
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
This book puts its weight on theoretical issues related to finite mixture models. It shows that a good applicant, is an applicant who understands the issues behind each statistical method. This book is intended for applicants whose interests include some understanding of the procedures they are using, while they do not have to read the technical derivations.
At the same time, many researchers find most theories and techniques necessary for the development of various statistical methods, without chasing after one set of research papers, after another. Even though the book emphasizes the theory, it provides accessible numerical tools for data analysis. Readers with strength in developing statistical software, may find it useful.
Furthermore, Jiahua Chen served as the Canada Research Chair, Tier I from January 2007 to December 2020, and he is a fellow of the Royal Society of Canada.
- Autor: Jiahua Chen
- 2023, 1st ed. 2023, 327 Seiten, Englisch
- Verlag: Springer Nature Singapore
- ISBN-10: 9819961416
- ISBN-13: 9789819961412
- Erscheinungsdatum: 22.11.2023
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Größe: 7.14 MB
- Ohne Kopierschutz
- Vorlesefunktion
Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
---|
Schreiben Sie einen Kommentar zu "Statistical Inference Under Mixture Models / ICSA Book Series in Statistics".
Kommentar verfassen