Probability & Statistics

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Cambridge University Press (9780521123907) | Statistical Models
(9781446200469 / 33677000) - Dimensions: 195 x 265 x 40.64mm | 2,330g - Format: 992 pages - Height: 264 mm - Spine width: 41 mm - Width: 195 mm - SAGE - London, United Kingdom - Sage Publications Ltd | Discovering Statistics Using R
(9781491910399 / 42529557) - Mathematical & statistical software - First edition - O'Reilly - Sebastopol, United States - Dimensions: 227 x 160 x 27 mm - Format: 522 pages - Height: 231 mm - Spine width: 24 mm | R for Data Science
Routledge (9781848726994)
Cambridge University Press (9780521655774) | Linear Analysis
(9780198728498 / 26611576)
Cambridge University Press (9781108436793)
(9781580257107) - Dimensions: 280x210 - Edition: 2nd edition - ISBN: 9781580257107 - Number of pages: 648 - SAS Publishing - Weight: 1436 g
(9781316518960 / 51484993) - Dimensions: 195 x 253 x 25mm | 1,180g - Format: Hardback | 474 pages - Publication date: 31 Aug 2018 - Height: 197mm - Spine width: 26mm - Width: 252mm - Cambridge University Press | Practical examples
Princeton University Press (9780691116693) | Studies in Complexity
Springer-Verlag Berlin and Heidelberg GmbH & Co. K (9783540584964)
Chapman and Hall/CRC (9780412138201) | Statistical inference
(9780124058880) - Dimensions: 191 x 235 x 43.18mm | 1,740g - Revised - Academic Press Inc - San Diego, United States - Elsevier Science Publishing Co Inc - Edition statement: 2nd edition - Format: 776 pages | Doing Bayesian
SAGE Publications Ltd (9780761973850) | Doing Statistics With SPSS
Cambridge University Press (9781316620243 / 47349572) | Integrals and Martingales, Measures Integrals Martingales, L Schilling
Cambridge University Press (9780521183284) | Statistics Explained
(9780789759054 / YES42772401) - Dimensions: 176 x 233 x 31mm | 910g - Format: Paperback | 576 pages - Publication date: 14 Dec 2017 - Que Corporation,U.S. - United States - Pearson Education (US) - ISBN: 9780789759054
Explore advanced portfolio theory with Attilio Meucci’s guide to risk and asset allocation, blending mathematical rigor and practical insight for investors seeking optimal diversification strategies.
Explore Bayesian inference through clear examples and intuitive explanations, guiding readers from basic probability to advanced hierarchical models with practical code snippets and real‑world applications.
Chapman and Hall/CRC (9781439830031)

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