Arranged logically to follow the most widely adopted course structure, this text will leave students with a full understanding of the unique structure, function, and living patterns of all vertebrates.

Conservation Biology brings together theory, applied research, basic research, and hundreds of real-world examples and stories from dozens of disciplines to teach students how to become practicing conservation biologists who protect and manage Earth's biodiversity. A major theme throughout the book is the active role that researchers, local communities, the general public, conservation organizations, and governments can play in protecting biodiversity, evenwhile maintaining a high quality of ...

Unlike most probability textbooks, which are only truly accessible to mathematically-oriented students, Ward and Gundlach’s Introduction to Probability reaches out to a much wider introductory-level audience. Its conversational style, highly visual approach, practical examples, and step-by-step problem solving procedures help all kinds of students understand the basics of probability theory and its broad applications. The book was extensively class-tested through its preliminary edition, ...

Organized around the central theme of homeostasis - how the body meets changing demands while maintaining the internal constancy necessary for all cells and organs to function, this book helps you appreciate the integrated functioning of the human body.

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...

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...