Statistical Inference Under Mixture Models is popular PDF and ePub book, written by Jiahua Chen in 2023-12-24, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Statistical Inference Under Mixture Models can be Read Online from any device for your convenience.
Statistical Inference Under Mixture Models Book PDF Summary
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.
Detail Book of Statistical Inference Under Mixture Models PDF
- Author : Jiahua Chen
- Release : 24 December 2023
- Publisher : Springer Nature
- ISBN : 9789819961412
- Genre : Mathematics
- Total Page : 330 pages
- Language : English
- PDF File Size : 20,6 Mb
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