Автор: Bradley Efron and Trevor Hastie Название: Computer Age Statistical Inference ISBN: 1107149894 ISBN-13(EAN): 9781107149892 Издательство: Cambridge Academ Рейтинг: Цена: 9029.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.
Автор: Acello B. Название: Nursing assisting 2e ISBN: 1401827527 ISBN-13(EAN): 9781401827526 Издательство: Cengage Learning Рейтинг: Цена: 12037.00 р. Наличие на складе: Нет в наличии.
Описание: The 2nd edition of Nursing Assisting: Essentials of Long Term Care is specifically designed to prepare readers to take the state certification exams.
Описание: Jones & Bartlett Learning`s Visual Atlas of Medical Assisting Skills is a unique photographic atlas that provides step-by-step instruction on how to perform a wide range of medical assisting skills.
Описание: In today`s dynamic health care environment, medical assistants are playing an increasingly important role. This title helps you gain the knowledge and skills which are needed to succeed in this rewarding, rapidly growing field.
