Statistical Inference Under Mixture Models

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Éditeur :

Springer


Paru le : 2023-11-22

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Description

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.

Pages
327 pages
Collection
n.c
Parution
2023-11-22
Marque
Springer
EAN papier
9789819961399
EAN PDF
9789819961412

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
32
Taille du fichier
7496 Ko
Prix
137,14 €
EAN EPUB
9789819961412

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
32
Taille du fichier
22262 Ko
Prix
137,14 €

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