The statistical methodology covered includes statistical standard distributions, one- and two-sample tests with continuous data, regression analysis, one-and two-way analysis of variance, regression analysis, analysis of tabular data, and sample size calculations.

This succinct compilation of essential reference data for the interpretation of NMR, IR, UV/Vis, and mass spectra also provides a hands-on guide for interpreting experimental spectral data and elucidating the structure of the respective compounds behind them. This fourth edition of the highly successful and concise textbook contains about 20% new data.

Features review questions at the end of each chapter; Includes suggestions for recommended reading; Provides a glossary of ecological terms; Has a wide audience as a textbook for advanced undergraduate students, graduate students and as a reference for practicing scientists from a wide array of disciplines

Robotic vision, the combination of robotics and computer vision, involves the application of computer algorithms to data acquired from sensors. The research community has developed a large body of such algorithms but for a newcomer to the field this can be quite daunting. For over 20 years the author has maintained two open-source MATLAB (R) Toolboxes, one for robotics and one for vision.

They provide implementations of many important algorithms and allow users to work with real problems, not...

Knowledge is not merely everything we have come to know, but also ideas we have pondered long enough to know in which way they are related, and 1 how these ideas can be put to practical use. Modern aviation has been made possible as a result of much scienti c - search. However, the very rst useful results of this research became ava- able a considerable length of time after the aviation pioneers had made their rst ights. Apparently, researchers were not able to nd an adequate exp- nation for ...

This forward-looking resource recasts the concept of healthy cities as not only a safe, pleasant, and green built environment, but also one that creates and sustains health by addressing social, economic, and political conditions. It describes collaborations between city planning and public health creating a contemporary concept of urban governance¿a democratically-informed process that embraces values like equity. Models, critiques, and global examples illustrate institutional change, commu...

This upper-level open access textbook uses an interdisciplinary perspective to discuss the 'what and why' of public procurement, providing insight into the 'how' of contemporary procurement in the public sector. The authors use theories and exemplary practices to show the next generation of public procurement professionals how public value can be created via the acquisition of works, supplies, or services by organizations operating in the public domain. Perfectly tailored to university studen...

This book introduces readers to the basic principles of bioinformatics and the practical application and utilization of computational tools, without assuming any prior background in programming or informatics. It provides a coherent overview of the complex field and focuses on the implementation of online tools, genome databases and software that can benefit scientists and students in the life sciences. Training tutorials with practical bioinformatics exercises and solutions facilitate the un...

This well-established textbook on biocatalysis provides a basis for undergraduate and graduate courses in modern organic chemistry, as well as a condensed introduction into this field. After a basic introduction into the use of biocatalysts—principles of stereoselective transformations, enzyme properties and kinetics—the different types of reactions are explained according to the 'reaction principle', such as hydrolysis, reduction, oxidation, C–C bond formation, etc. Special techniques,...

Optimization is an important tool used in decision science and for the analysis of physical systems used in engineering. It begins with very simple ideas progressing through more complicated concepts, concentrating on methods for both unconstrained and constrained optimization.