Probability for Statistics and Machine Learning
Material type:
Computer fileLanguage: English Publication details: New York, NY Springer New York, Imprint: Springer, 2011. ISBN: 9781441996343, 978-1-4419-9634-3Subject(s): Bioinformatics | Bioinformatics | Computer simulation | Distribution (Probability theory) | Mathematical statistics | Probability Theory and Stochastic Processes | Simulation and Modeling | Statistical Theory and Methods | Statistics | StatisticsDDC classification: 519.5, Online resources: Click here to access online
| Item type | Current library | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
E(electronic)-Books
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NISER LIBRARY | 519.5, 23 (Browse shelf(Opens below)) | Available | E1088 |
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| 519.5, 23 Dynamic Mixed Models for Familial Longitudinal Data | 519.5, 23 Looking Back | 519.5, 23 Fisher, Neyman, and the Creation of Classical Statistics | 519.5, 23 Probability for Statistics and Machine Learning | 519.5, 23 An Introduction to Applied Multivariate Analysis with R | 519.5, 23 Selected Works of Oded Schramm | 519.5, 23 Targeted Learning |
Mathematics and Statistics (Springer-11649)
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