Top texts - Maths and Statistics

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Engineering Maths

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Stroud and Booth - Engineering Mathematics, 6th edition

Published February 2007

Engineering Mathematics is by far the bestselling book of its kind with well over half a million copies sold. Widely recommended by lecturers it is also a huge word-of-mouth seller. Its unique programmed approach takes the student through the mathematics in an interactive, step-by-step fashion with a wealth of worked examples and exercises. It is the most comprehensive course of its type. This carefully revised sixth edition has an even more user-friendly page design. The accompanying Personal Tutor CD-ROM has been revised and improved. New for this edition are a series of applications questions freely accessible on a companion website.

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Stroud and Booth - Advanced Engineering Mathematics, 4th edition

Published February 2003

This revised and expanded best-selling advanced engineering mathematics textbook offers everything a student needs. Including four new topics and with several other topics extended in their coverage, this is a comprehensive course for all undergraduates in engineering and science from second year level onwards. Its highly successful technique-orientated approach guides the student through the development of each topic. There are hundreds of worked examples and exercises.

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Singh - Engineering Mathematics Through Applications

Published February 2003

'The unique quality of this book is the wealth of examples applying the mathematical techniques taught here. These examples span mechanics, aerodynamics, electronics, engineering, fluid dynamics and other areas of applied mathematics. These are not just the usual examples involving differential equations and equations of motion, but real and thoughtful applications that will be relevant to the student.' - Jill Russell, Open University

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McQuarrie - Mathematical Methods for Scientists and Engineers

Published June 2003

McQuarrie's Mathematical Methods for Scientists and Engineers is a well-written, carefully conceived panorama of an extensive mathematical landscape. From asymptotic analysis to linear algebra to partial differential equations and complex variables, McQuarrie provides relevant background, physical and mathematical intuition and motivation, and just the right dose of mathematical rigor to get the ideas across effectively. The large collection of examples and exercises will prove indispensable for teaching and learning the material.- Dennis DeTurck, University of Pennsylvania

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Statistics

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Nolan & Heinzen - Statistics for the Behavioral Sciences

Published December 2007

This beautifully written text makes statistics accessible to students through the use of integrated narratives and wide-ranging examples. A refreshing text that emphasizes the link between research design and statistical analysis, it also promotes graphic literacy, and offers guidelines on how to report results.

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Moore, McCabe and Craig - Introduction to the Practice of Statistics 6th edition

Published March 2008

With a focus on data analysis, statistical reasoning, and the way statisticians actually work, this book has helped revolutionize the way statistics are taught and brings the power of critical thinking and practical applications to your course. The sixth edition has been updated with new content, exercises and pedagogy throughout.

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Moore - The Basic Practice of Statistics, 4th Edition

Published October 2006

David S. Moore's name has come to stand for exceptional clarity and innovation within statistics textbooks, praised by students and instructors worldwide. The fourth edition of The Basic Practice of Statistics continues this trend by excelling both in presentation, features and pedagogy. A new 4-step process gives students the tools to solve complex problems and relate them to the real world.

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Baldi and Moore - The Practice of Statistics in the Life Sciences

Published April 2008

A comprehensive and accessible introduction to the uses and applications of statistics in the life sciences, including information on: variables; data distribution; correlation and regression; research design; probability; statistical inference; parametric and non-parametric testing; and one-way and two-way ANOVA.

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