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Hardcover - 9780387402727
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Beschreibung
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.
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.
A Concise Course in Statistical Inference
A Concise Course in Statistical Inference
Details
| Verlag | Springer US |
| Ersterscheinung | 01. Dezember 2010 |
| Maße | 23.5 cm x 15.5 cm |
| Gewicht | 705 Gramm |
| Format | Softcover |
| ISBN-13 | 9781441923226 |
| Seiten | 442 |
Schlagwörter
Complex Systems, Computational Mathematics and Numerical Analysis, Kybernetik und Systemtheorie, Mathematik für Informatiker, Numerische Mathematik, Probability and Statistics in Computer Science, Probability Theory, Statistical Theory and Methods, Statistics in Engineering - Physics - Computer Science - Chemistry and Earth Sciences, Stochastik, Wahrscheinlichkeitsrechnung und Statistik
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