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This easy-to-follow applied book on semiparametric regression methods using R is intended to close the gap between the available methodology and its use in practice. Semiparametric regression has a large literature but much of it is geared towards data analysts who have advanced knowledge of statistical methods. While R now has a great deal of semiparametric regression functionality, many of these developments have not trickled down to rank-and-file statistical analysts. The authors assemble a broad range of semiparametric regression R analyses and put them in a form that is useful for applied researchers. There are chapters devoted to penalized spines, generalized additive models, grouped data, bivariate extensions of penalized spines, and spatial semi-parametric regression models. Where feasible, the R code is provided in the text, however the book is also accompanied by an external website complete with datasets and R code. Because of its flexibility, semiparametric regression has proven to be of great value with many applications in fields as diverse as astronomy, biology, medicine, economics, and finance. This book is intended for applied statistical analysts who have some familiarity with R.

Emerging technologies generate data sets of increased size and complexity that require new or updated statistical inferential methods and scalable, reproducible software. These data sets often involve measurements of a continuous underlying process, and benefit from a functional data perspective. Functional Data Analysis with R presents many ideas for handling functional data including dimension reduction techniques, smoothing, functional regression, structured decompositions of curves, and clustering. The idea is for the reader to be able to immediately reproduce the results in the book, implement these methods, and potentially design new methods and software that may be inspired by these approaches. Features: Functional regression models receive a modern treatment that allows extensions to many practical scenarios and development of state-of-the-art software. The connection between functional regression, penalized smoothing, and mixed effects models is used as the cornerstone for inference. Multilevel, longitudinal, and structured functional data are discussed with emphasis on emerging functional data structures. Methods for clustering functional data before and after smoothing are discussed. Multiple new functional data sets with dense and sparse sampling designs from various application areas are presented, including the NHANES linked accelerometry and mortality data, COVID-19 mortality data, CD4 counts data, and the CONTENT child growth study. Step-by-step software implementations are included, along with a supplementary website (www.FunctionalDataAnalysis.com) featuring software, data, and tutorials. More than 100 plots for visualization of functional data are presented. Functional Data Analysis with R is primarily aimed at undergraduate, master's, and PhD students, as well as data scientists and researchers working on functional data analysis. The book can be read at different levels and combines state-of-the-art software, methods, and inference. It can be used for self-learning, teaching, and research, and will particularly appeal to anyone who is interested in practical methods for hands-on, problem-forward functional data analysis. The reader should have some basic coding experience, but expertise in R is not required.

This book discusses the science and technology of tunneling for the 21st Century. It includes topics related to planning, geological and environmental investigations, as well as the maintenance and the longevity of tunnels.

Problems with being a young awkward teenager trying to survive the wild chaotic Miami waves of violence, as young black man. Travale Tremont realizes he must fight to sustain even legitimize his very existence. Not only the streets, and the ooze of a contemptible society, but also a treacherous foe aptly called Vein. An enemy that omits a deadly cocktail of toxins that blanket his rampage of death to whomever inhales it, and a lethal mixture of venom from an antagonist whose claws that cut deep, rip, and tear, as he injects poisons into his victims. A villain that increases in size and power by each soul he devours. Can "Blackman," and his two female companions surmount "Vien," and his unquenchable lust for souls? And can a teenage love, any love blossom, persist, even exist in the middle of this? If so great! But can they also muster up enough moxie to "Emuck," and her countless army of female centaurs? Who've sworn to overtake the earth, reclaim, and restore it back to its former glory. And using the humans for servants, and sustenance. Hence the battle of the four-legged ones vs the two-legged ones is about to ensue!

The Body in Language: Comparative studies of Linguistic Embodiment provides new insights into the theory of linguistic embodiment in its universal and cultural aspects. The contributions of the volume offer theoretical reflections on grammaticalization, lexical semantics, philosophy, multimodal communication and - by discussing metaphorization and metonymy in figurative language - on cognitive linguistics in general. Case studies contribute first-hand data on embodiment from more than 15 languages and present findings on the body in language in diverse cultures from various continents. Embodiment fundamentally underlies human conceptualization and the present discussions reveal a wide range of target domains in conceptual transfers with the body as the source domain.