Studieboeken (86)

Een overzicht van studieboeken die relevant zijn binnen het onderwijs.

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Computability and Logic

2007 || Paperback || George S. Boolos e.a. || Cambridge University Press

Computability and Logic has become a classic because of its accessibility to students without a mathematical background and because it covers not simply the staple topics of an intermediate logic course, such as Godel's incompleteness theorems, but also a large number of optional topics, from Turing's theory of computability to Ramsey's theorem. This 2007 fifth edition has been thoroughly revised by John Burgess. Including a selection of exercises, adjusted for this edition, at the end of eac...

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University Calculus: Early Transcendentals in SI Units / 4th edition

University Calculus Early Transcendentals

2021 || Paperback || Joel Hass e.a. || Pearson

This title is a Pearson Global Edition. The Editorial team at Pearson has worked closely with educators around the world to include content which is especially relevant to students outside the United States. For 3-semester or 4-quarter courses covering single variable and multivariable calculus, taken by students of mathematics, engineering, natural sciences, or economics.

Clear, precise, conciseUniversity Calculus: Early Transcendentals helps students generalize and apply the key ideas of ca...

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Strive for a 5:

Preparing for the APĀ® Statistics Exam (High School)

2024 || Paperback || Daren Starnes e.a. || Macmillan Learning

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Strategy

An Introduction to Game Theory

2024 || Paperback || Joel (University of California Watson || WW Norton & Co

The perfect balance of readability and formalism.

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Statistics and Probability with Applications (High School)

2025 || Hardcover || Daren Starnes e.a. || Macmillan Learning

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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.