To a diverse group of industries, static headspace-gas chromatography (static HS-GC) is an indispensable technique for analyzing volatile compounds; it enables the analyst to assay a variety of sample matrices, while avoiding the time-consuming and costly preparation involved with traditional GC.

This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data. The Data Science Design Manual is a source of practical insights that highlights what really matters in analyzing data, and provides an intuitive understanding of how these core...

An Introduction to Modern Astrophysics is a comprehensive, well-organized and engaging text covering every major area of modern astrophysics, from the solar system and stellar astronomy to galactic and extragalactic astrophysics, and cosmology. Designed to provide students with a working knowledge of modern astrophysics, this textbook is suitable for astronomy and physics majors who have had a first-year introductory physics course with calculus. Featuring a brief summary of the main scientif...

Cartoonist Tom Gauld returns with more incredible cartoons from his beloved New Scientist strip

This book is a one-semester text for an introduction to real analysis. The author's primary aims are to develop ideas already familiar from elementary calculus in a rigorous manner and to help students deeply understand some basic but crucial mathematical ideas. Meets and aligns with various student backgrounds Pays explicit attention to basic formalities and technical language Contains varied problems and exercises Drives the narrative through questions

Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and toolsfor understanding statistics, randomness, and uncertainty. The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo (MCMC). Additional application areas explored include genetics, medicine, computer science, and information theory.

The authors present the material in an accessible s...

This textbook is an introduction to probability theory with the right balance between mathematical precision, probabilistic intuition, and concrete applications. It is intended for students with a calculus background, as well as for independent learners and readers. The material is covered precisely, while avoiding excessive technical details.

This book serves as an essential text, guiding students on the basic principles and calculation techniques used in chemical engineering and providing a solid understanding of the fundamentals. This Third Edition reflects advances in the field and feedback from professors and students and is packed with illustrative examples and case studies.

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It is often taken for granted that the Standard Model of Particle Physics is the most successful scientific theory ever developed. However, since its inception in the 1970s, it has been widely recognized that as long as gravity remains excluded from its framework, a deeper theoretical level must exist beyond it. To bridge this gap, two possible approaches can be taken: one is to push forward by embedding the Standard Model within a more comprehensive theory; the other is to cri...