Excerpt from A Statistical Study of Eminent Women To my husband, H. Edward Castle, M.D., whose keen interest, encouragement, and excellent judgment relative to this work have aided me so materially, I am profoundly grateful. About the Publisher Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.

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Statistical Power Analysis is a nontechnical guide to power analysis in research planning that provides users of applied statistics with the tools they need for more effective analysis. The Second Edition includes: * a chapter covering power analysis in set correlation and multivariate methods; * a chapter considering effect size, psychometric reliability, and the efficacy of "qualifying" dependent variables and; * expanded power and sample size tables for multiple regression/correlation.

Excerpt from The Faith of a Quaker There arise also the insistent questions which beset all mystics, and which in Quakerism demanded a corporate, instead of an individual, answer. Was the light infallible? Was the claim to it an assumption of spiritual exaltation. About the Publisher Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.

"Literature written by women in German during the period long known patriarchally as the Age of Goethe was largely lumped in with other unserious or artistically unworthy works under the category Trivialliteratur, literally 'trivial literature.' Using insights from Gender Studies yet acknowledging the need for a literary canon, Great Books by German Women offers a critical interpretation of six canon-worthy German novels written by women in the period, for which it coins the term 'Age of Emotion.' The novels are chosen because they depict women's ordinary yet interesting lives and, equally, because each displays formal strengths that yield prose particularly able to express emotion. The first, Sophie von La Roche's Die Geschichte des Frèauleins von Sternheim (The History of Lady von Sternheim), draws on the tradition of the epistolary novel while also finding new ways to depict empathetic emotions. The second, Friederike Unger's Julchen Grèunthal, brings to the Frauenroman or women's novel the use of irony to portray a heroine's emotions during her coming of age. The next novels add lyricism to their prose to capture sensual emotions: Sophie Mereau's Blèutenalter der Empfindung (The Blossoming of Feeling) imagines women's affinity for the philosophical sublime, while Caroline Wolzogen depicts female desire in her Agnes von Lilien. The fifth novel, Die Honigmonathe (The Honeymoon), by Karoline Fischer, explores the agony that extreme emotions cause--not only for women but also for men. The last novel, Caroline Pichler's Frauenwèurde (The Dignity of Women) expands the focus from a young heroine to multiple mature characters while maintaining the centrality of women's talents and emotions. Finally, this study accords honorable mention to some other women's novels before concluding that the influence of these six works was in no way trivial, either in portraying women's lives and emotions or in the history of German literature"--

The landmark, prize-winning, international bestselling examination of how a gender gap in data perpetuates bias and disadvantages women. #1 International Bestseller * Winner of the Financial Times and McKinsey Business Book of the Year Award * Winner of the Royal Society Science Book Prize Data is fundamental to the modern world. From economic development to health care to education and public policy, we rely on numbers to allocate resources and make crucial decisions. But because so much data fails to take into account gender, because it treats men as the default and women as atypical, bias and discrimination are baked into our systems. And women pay tremendous costs for this insidious bias: in time, in money, and often with their lives. Celebrated feminist advocate Caroline Criado Perez investigates this shocking root cause of gender inequality in Invisible Women. Examining the home, the workplace, the public square, the doctor’s office, and more, Criado Perez unearths a dangerous pattern in data and its consequences on women’s lives. Product designers use a “one-size-fits-all” approach to everything from pianos to cell phones to voice recognition software, when in fact this approach is designed to fit men. Cities prioritize men’s needs when designing public transportation, roads, and even snow removal, neglecting to consider women’s safety or unique responsibilities and travel patterns. And in medical research, women have largely been excluded from studies and textbooks, leaving them chronically misunderstood, mistreated, and misdiagnosed. Built on hundreds of studies in the United States, in the United Kingdom, and around the world, and written with energy, wit, and sparkling intelligence, this is a groundbreaking, highly readable exposé that will change the way you look at the world.

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance, marketing, and astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. This book is targeted at statisticians and non-statisticians alike, who wish to use cutting-edge statistical learning techniques to analyze their data. Four of the authors co-wrote An Introduction to Statistical Learning, With Applications in R (ISLR), which has become a mainstay of undergraduate and graduate classrooms worldwide, as well as an important reference book for data scientists. One of the keys to its success was that each chapter contains a tutorial on implementing the analyses and methods presented in the R scientific computing environment. However, in recent years Python has become a popular language for data science, and there has been increasing demand for a Python-based alternative to ISLR. Hence, this book (ISLP) covers the same materials as ISLR but with labs implemented in Python. These labs will be useful both for Python novices, as well as experienced users.

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