Zoekfilters
› Maarten de Gee (5)
› Daren Starnes (4)
› Jozef Aerts (4)
» Toon alle opties (30)
› Christopher Heil (3)
› Frits Barth (3)
› Jaap Grasmeijer (3)
› Joel Hass (3)
› Maurice Weir (3)
› Rinse Poortinga (3)
› Ronald Keijzer (3)
› Tabor Josh (3)
› Wil Oonk (3)
› A. van Rooij (2)
› A.N. Whitehead (2)
› Alex van den Brandhof (2)
› Anne Kaldewaij (2)
› Frans Keune (2)
› Gerardo Soto y Koeleme... (2)
› J.H. Dijkhuis (2)
› J.M. Aarts (2)
› Jaap Klouwen (2)
› Jan van de Craats (2)
› Josh Tabor (2)
› Kathleen Miranda (2)
› Malcolm Pemberton (2)
› Michael Sullivan (2)
› Nicholas Rau (2)
› Philippe Carette (2)
› Richard Johnson (2)
› Robert Adams (2)
› Sabine Lit (2)
› Sieb Kemme (2)
› Epsilon Uitgaven (42)
› Noordhoff (21)
› Pearson (20)
» Toon alle opties (23)
› Taylor & Francis (8)
› Macmillan (6)
› Macmillan Learning (5)
› Wiley (5)
› Brave New Books (4)
› Cambridge University P... (4)
› Jozef Aerts wiskunde (4)
› Amsterdam University P... (3)
› Oxford University Pres... (3)
› Penguin (3)
› Elsevier (2)
› Manchester University ... (2)
› Mathemagician (2)
› Nieuwezijds (2)
› Owl Press (2)
› Pearson Benelux B.V. (2)
› Rinse Poortinga (2)
› SAGE (2)
› Springer (2)
› Springer-Verlag New Yo... (2)
› Syntax Media (2)
› VU University Press (2)
Studieboeken (195)
NU Rekenen 4e ed leerwerkboek niveau 4 / Druk 4
2025 || Paperback || Noordhoff
Strive for a 5:
Preparing for the APĀ® Statistics Exam (High School)
2024 || Paperback || Daren Starnes e.a. || Macmillan Learning
Strategy
An Introduction to Game Theory
2024 || Paperback || Joel (University of California Watson || WW Norton & Co
The perfect balance of readability and formalism.
Statistics and Probability with Applications (High School)
2025 || Hardcover || Daren Starnes e.a. || Macmillan Learning
Beyond Multiple Linear Regression
Applied Generalized Linear Models And Multilevel Models in R
2021 || Hardcover || Julie Legler e.a. || Taylor & Francis
Offers a unified discussion of generalized linear models and correlated data methods. Provides information suitable for graduate non-statistics majors or advanced undergraduate statistics majors. Includes case studies with real data. Offers material on R at the end of each chapter. Provides a solutions manual.