Science is a serious business, right? Wrong.

Scientists have been participants in the best reality show of all time, with all the highs, lows, bust-ups, and strange personalities of any show on telly today. From Luke O'Neill - the science teacher you wish you'd had - this hugely accessible history of science reveals the human stories behind the biggest discoveries.

For example, we meet Charles Darwin as he weighs up the pros and cons of marrying his cousin: 'constant companion' vs 'less money...

Few can imagine a world without telephones or televisions; many depend on computers and the Internet as part of daily life. Without scientific theory, these developments would not have been possible. In this exceptionally clear and engaging introduction to philosophy of science, James Ladyman explores the philosophical questions that arise when we reflect on the nature of the scientific method and the knowledge it produces.

He discusses whether fundamental philosophical questions about knowle...

One of four titles in Thames & Hudson’s innovative new ‘Big Idea’ series, this well-informed and lucid book takes a comprehensive look at the incredible ideas and possibilities born from the simple question, ‘What shape is space?’

‘If you want to know how we know what we know about dinosaurs, read this book!’ Steve Brusatte

This 1983 book is a lively and clearly written introduction to the philosophy of natural science, organized around the central theme of scientific realism. It has two parts. 'Representing' deals with the different philosophical accounts of scientific objectivity and the reality of scientific entities.

The views of Kuhn, Feyerabend, Lakatos, Putnam, van Fraassen, and others, are all considered. 'Intervening' presents the first sustained treatment of experimental science for many years and uses...

Introduction to Probability Models: Thirteenth Edition is available in two manageable volumes: an Elementary edition appropriate for undergraduate use and an Advanced edition for graduate use. Together, and through their hallmark exercises and real examples, both versions offer a comprehensive foundation of this key subject with applications across engineering, computer science, management science, the physical and social sciences and operations research. Users will find comprehensive infor...

This book builds theoretical statistics from the first principles of probability theory. Starting from the basics of probability, the authors develop the theory of statistical inference using techniques, definitions, and concepts that are statistical and are natural extensions and consequences of previous concepts. Intended for first-year graduate students, this book can be used for students majoring in statistics who have a solid mathematics background.

It can also be used in a way that stre...

A groundbreaking exploration of how the interplay of physics and mathematics has enriched our understanding of the universe - essential reading for anyone who wants to grasp how physicists are attempting, in Stephen Hawking's words, to 'know the mind of God'.

For junior/senior undergraduates taking probability and statistics as applied to engineering, science, or computer science. This classic text provides a rigorous introduction to basic probability theory and statistical inference, with a unique balance between theory and methodology. Interesting, relevant applications use real data from actual studies, showing how the concepts and methods can be used to solve problems in the field.

This revision focuses on improved clarity and deeper understan...