This book describes an array of power tools for data analysis that are based on nonparametric regression and smoothing techniques. These methods relax the linear assumption of many standard models and allow analysts to uncover structure in the data that might otherwise have been missed. While McCullagh and Nelder's Generalized Linear Models shows how to extend the usual linear methodology to cover analysis of a range of data types, Generalized Additive Models enhances this methodology even further by incorporating the flexibility of nonparametric regression. Clear prose, exercises in each chapter, and case studies enhance this popular text.
The book is unique in comprising our present knowledge about the general state of, and the processes involving, metal vapours in combustion flames. It deals thoroughly with a great variety of experimental techniques, including many practical hints, and synthesizes the results in this field of research which are often scattered across publications in widely different areas of science and technology and over a large time span. An account is given of the results of recent and past flame experiments on the properties of metal species and the processes in which they take part. Properties and processes that are discussed 'in extenso' include the dissociation energy of metal compounds, collisional broadening of atomic lines, physical and chemical excitation and quenching of electric states, formation reactions of metal compounds, ionization and diffusion. Many of the topics and experimental methods discussed are also of interest in other fields of fundamental and applied science. In particular, explicit conclusions are drawn as to the analytical application of flame spectroscopy.
Too often educational leaders are caught in a "culture of nice," finding it difficult to give their teachers and staff critical feedback to improve their practice. This important book helps leaders become both candid and compassionate, unrelenting and supportive, and demanding yet caring. Exploring real scenarios and situations, this book helps you through the common traps of trying to improve performance, and the strategies to move beyond these pitfalls to achieve desired results. Addressing best practices for driving change such as informal feedback mechanisms, collaborative decision-making, and teacher leadership, this important book will help you create a trusting and supportive environment where you can have candid educational conversations in person and in writing, during informal chats, in PLCs, and with other leaders.
This book describes an array of power tools for data analysis that are based on nonparametric regression and smoothing techniques. These methods relax the linear assumption of many standard models and allow analysts to uncover structure in the data that might otherwise have been missed. While McCullagh and Nelder's Generalized Linear Models shows how to extend the usual linear methodology to cover analysis of a range of data types, Generalized Additive Models enhances this methodology even further by incorporating the flexibility of nonparametric regression. Clear prose, exercises in each chapter, and case studies enhance this popular text.
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