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Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data. Format Inbunden Omfång 442 sidor Språk Engelska Förlag Springer-Verlag New York Inc. Utgivningsdatum 2003-12-04 ISBN 9780387402727
Avvakta – priset är högt
160 kr dyrare
Rör sig ofta
Författare
Larry Wasserman
Serie
Springer texts in statistics
Förlag
Springer
Utgivningsår
2004
Format
Häftad
Sidantal
442
Språk
Engelska
Fysiska detaljer
ill.
Dewey
519.5
ISBN
9780387402727
Inga erbjudanden tillgängliga just nu.
Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data. Format Inbunden Omfång 442 sidor Språk Engelska Förlag Springer-Verlag New York Inc. Utgivningsdatum 2003-12-04 ISBN 9780387402727
Avvakta – priset är högt
160 kr dyrare
Rör sig ofta
Författare
Larry Wasserman
Serie
Springer texts in statistics
Förlag
Springer
Utgivningsår
2004
Format
Häftad
Sidantal
442
Språk
Engelska
Fysiska detaljer
ill.
Dewey
519.5
ISBN
9780387402727
ISBN 9780387402727 jämförs hos alla butiker
Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data. Format Inbunden Omfång 442 sidor Språk Engelska Förlag Springer-Verlag New York Inc. Utgivningsdatum 2003-12-04 ISBN 9780387402727
Avvakta – priset är högt
160 kr dyrare
Rör sig ofta
Författare
Larry Wasserman
Serie
Springer texts in statistics
Förlag
Springer
Utgivningsår
2004
Format
Häftad
Sidantal
442
Språk
Engelska
ISBN
9780387402727
