World Scientific Publishing Co Pte Ltd (9789810235437) - Country of publication: SINGAPORE - Dimensions: (H) 236mm, (W) 164mm, (D) 18mm - World Scientific Publishing Co Pte Ltd - Out of stock at the publisher
(9781138916609) - Edition: 1st edition - Height: 248 mm - Spine width: 23 mm - Width: 190 mm - Routledge - Taylor and Francis - ISBN: 9781138916609 - Number of pages: 356 - Languages: English - Weight: 778 g
(9780060731335 / 3785437) - Height: 203 mm - Spine width: 20 mm - Width: 134 mm - Harper Perennial - ISBN: 9780060731335 - Number of pages: 315 - Languages: English - Weight: 272 g
B de Bolsillo (9788496581814) - Languages: Spanish | Steven D, Que la economìa, Levitt y Dubner, Freakonomics Spanish, Y de una, Typical economist, O necesitan, Lo que desean, Levitt y Stephen J, En economìa
Explore advanced survival analysis techniques tailored for epidemiologists and medical researchers, with step‑by‑step examples, model diagnostics, and practical guidance on handling censored data in clinical studies.
Dive into the world of statistics with "The Manga Guide to Statistics" by Shin Takahashi. This engaging and visually appealing guide simplifies complex concepts, making learning fun and accessible for all. Perfect for students and curious minds alike!
Explore how chance shapes everyday choices and long‑term outcomes in this engaging guide, blending science, history, and vivid anecdotes to reveal the hidden patterns guiding our lives.
(9781781250310) - Height: 131 mm - Spine width: 20 mm - Width: 198 mm - Profile Books - Profile - ISBN: 9781781250310 - Number of pages: 290 - Languages: English - Weight: 248 g
Master the art of multiple testing in R with this comprehensive guide, featuring step‑by‑step tutorials on Tukey, Holm–Bonferroni, and permutation methods, complete with real data examples and reproducible code snippets.
(9781250107817 / 49091671) - Dimensions: 145 x 213 x 33mm | 535g - First edition - Flatiron Books - New York - Format: 352 pages - Product dimensions: 1.2 H x 8.3 L x 5.6 W - Publication date: 03 Apr
Explore advanced multivariate analysis with this comprehensive guide, covering regression, factor, cluster techniques, model diagnostics, and practical applications in data science, ideal for researchers and practitioners.