Focuses on data and organization around the theme of TTmaking sense of data:TT generating, organizing, analyzing, and presenting data. The approach reflects modern thinking about the purpose of statistics as discipline concerned with problem solving in the real world. Consequently all aspects of the presentation revolve around the central content of applied statistics, which is making sense of data.
The Journal of School Leadership is broadening the conversation about schools and leadership and is currently accepting manuscripts. We welcome manuscripts based on cutting-edge research from a wide variety of theoretical perspectives and methodological orientations. The editorial team is particularly interested in working with international authors, authors from traditionally marginalized populations, and in work that is relevant to practitioners around the world. Growing numbers of educators and professors look to the six bimonthly issues to: deal with problems directly related to contemporary school leadership practice teach courses on school leadership and policy use as a quality reference in writing articles about school leadership and improvement.
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During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book’s coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting---the first comprehensive treatment of this topic in any book. This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, non-negative matrix factorization, and spectral clustering. There is also a chapter on methods for “wide” data (p bigger than n), including multiple testing and false discovery rates. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie co-developed much of the statistical modeling software and environment in R/S-PLUS and invented principal curves and surfaces. Tibshirani proposed the lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, projection pursuit and gradient boosting.
This book explores the sensitive area of medical decision-making in cases where a patient refuses recommended medical treatment for religious or moral reasons. The case in point is the refusal of blood transfusion therapy by Jehovah's Witnesses. The theological and historical basis is examined in depth. The history of blood use in medicine is also analyzed, including the role of bloodletting as the 'queen of remedies' for centuries and eventually the emergence of the reverse practice, blood transfusion. Against this backdrop of theological, historical, and medical information, the study examines the ethical and legal issues raised by the stand of Jehovah's Witnesses. The principle of 'autonomy' and its development into a legal concept, as well as its introduction into medical ethics leading to the development of the doctrine of 'informed consent' into both a legal rule as well as an ethical duty imposed on health care professionals are considered.
