How can science be brought to connect with experience? This book addresses two of the most challenging problems facing contemporary neurobiology and cognitive science: first, understanding how we unconsciously execute habitual actions as a result of neurological and cognitive processes that are not formal actions of conscious judgment but part of a habitual nexus of systematic self-organization; second, creating an ethics adequate to our present awareness that there is no such thing as a tran...

Dan Larose’s Discovering Statistics strikes the ideal balance of conceptual application and computational understanding to develop students’ statistical sense and enable them to discover the statistician within.

Now available with Macmillan’s online learning platform Achieve, Larose’s Discovering Statistics strikes the ideal balance of conceptual application and computational understanding to develop students’ statistical sense and enable them to discover the statistician within.

Ac...

Holt's Linear Algebra with Applications, Second Edition, blends computational and conceptual topics throughout to prepare students for the rigors of conceptual thinking in an abstract setting. The early treatment of conceptual topics in the context of Euclidean space gives students more time, and a familiar setting, in which to absorb them. This organization also makes it possible to treat eigenvalues and eigenvectors earlier than in most texts. Abstract vector spaces are introduced later, on...

Based on an intimate knowledge and extensive research, Italian volcanoes, provides a complete introductory guide to one of the world's best known and most intensively studied volcanic areas. It is a unique guide to volcanic geology and an exciting introduction to how volcanoes work. Twelve detailed itineraries have been specially chosen to highlight the spectrum of volcanic products, their threat to human activity and their importance to understanding how volcanoes behave.

Richly illustrated ...

Since its origin, the railway station has had a complicated relationship with the city, demanding periodical updates, particularly regarding spatial issues. With the aim of improving the liveability of station areas, current redevelopment projects are reconceptualising them as balanced transport ‘nodes’ and ‘places’ in the city. However, the proposed spatial solutions do not fully support the sought after economic, social and environmental performances. These intentions continue to be...

Social, cultural and technological developments of our society are demanding a fundamental review of the planning and design of its landscapes and infrastructures, in particular in relation to environmental issues and sustainability. Transportation, green and water infrastructures are important agents that facilitate processes that shape the built environment and its contemporary landscapes. With movement and flows at the core, these landscape infrastructures facilitate aesthetic, functional,...

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 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...

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...