Inference for Functional Data With Applications

Professionals are challenged each day by a changing landscape of technology and terminology. In recent history, especially the last 25 years there has been an explosion of terms and methods born that automate and improve decision-making and operations. One term called Analytics is an overarching description of a compilation of methodologies. But, AI (Artificial Intelligence), statistics, decision science, optimization which have been around for decades has resurged. Also, things like business intelligence, On-line Analytical Processing (OLAP) and many, many more have been born or reborn. How is someone to make sense of all this methodology, terminology? Extending on the foundations introduced in the first book this book illustrates how professionals in healthcare, business and government are applying these disciplines, methods and technologies. The goal of this book is to get leaders and practitioners to start thinking about how they may deploy techniques outside their function or ind

The field of translation studies has grown rapidly over recent decades, with critical questions being investigated across the globe. Drawing together this scattered research, Systemic Functional Linguistics and Translation Studies consolidates important propositions by drawing on systemic functional linguistics (SFL).Using the SFL dimensions of stratification, rank, axis and delicacy to show how languages are more similar or more different, this book provides a state-of-the-art critical assessment of the interaction between SFL and translation studies. Highlighting the major contribution SFL can make in developing translation theories, a team of world-leading experts investigate how intricate and wide-ranging translation questions, such as re-instantiation and multimodality, can be most efficiently explored through a detailed meaning- and function-oriented linguistic theory. Examining the theoretical concepts and practical applications of SFL in the translation of a range of language

How to use data as a tool for empowerment rather than oppression.Big data can be used for good, from tracking disease to exposing human rights violations, and for bad, implementing surveillance and control. Data inevitably represents the ideologies of those who control its use; data analytics and algorithms too often exclude women, the poor, and ethnic groups. In Data Action, Sarah Williams provides a guide for working with data in more ethical and responsible ways. Williams outlines a method that emphasizes collaboration among data scientists, policy experts, data designers, and the public. The approach generates policy debates, influences civic decisions, and informs design to help ensure that the voices of people represented in the data are neither marginalized nor left unheard.

Techniques for applying mathematical concepts in the real world: six rarely taught but crucial tools for analysis, research, and problem-solving.Many young graduates leave school with a solid knowledge of mathematical concepts but struggle to apply these concepts in practice. Real scientific and engineering problems are different from those found in textbooks: they are messier, take longer to solve, and standard solution recipes might not apply. This book fills the gap between what is taught in the typical college curriculum and what a practicing engineer or scientist needs to know. It presents six powerful tools for analysis, research, and problem-solving in the real world: dimensional analysis, limiting cases, symmetry, scaling, making order of magnitude estimates, and the method of successive approximations. The book does not focus on formulaic manipulations of equations, but emphasizes analysis and explores connections between the equations and the application. Each chapter introdu