A scientific and educational journal not only for professional statisticians but also for economists, business executives, research directors, government officials, university professors, and others who are seriously interested in the application of statistical methods to practical problems, in the development of more useful methods, and in the improvement of basic statistical data.
Adaptive survey designs (ASDs) provide a framework for data-driven tailoring of data collection procedures to different sample members, often for cost and bias reduction. People vary in how likely they are to respond and in how they respond. This variation leads to opportunities to selectively deploy design features in order to control both nonresponse and measurement errors. ASD aims at the optimal matching of design features and the characteristics of respondents given the survey budget. Such a goal is sensible, but ASD requires investment in more advanced technical systems and management infrastructure and asks for the collection of relevant auxiliary data. So what are current best practices in ASD? And is ASD worthwhile when the same auxiliary data are employed in the estimation afterwards? In this book, the authors provide answers to these questions, and much more.
From a review of the first edition: "Modern Data Science with R... is rich with examples and is guided by a strong narrative voice. What’s more, it presents an organizing framework that makes a convincing argument that data science is a course distinct from applied statistics" (The American Statistician). Modern Data Science with R is a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world data problems. Rather than focus exclusively on case studies or programming syntax, this book illustrates how statistical programming in the state-of-the-art R/RStudio computing environment can be leveraged to extract meaningful information from a variety of data in the service of addressing compelling questions. The second edition is updated to reflect the growing influence of the tidyverse set of packages. All code in the book has been revised and styled to be more readable and easier to understand. New functionality from packages like sf, purrr, tidymodels, and tidytext is now integrated into the text. All chapters have been revised, and several have been split, re-organized, or re-imagined to meet the shifting landscape of best practice.
This book is the dramatic, inspiring story of a remarkable man, born in Germany, who achieved greatness and fame in the United States, but who, like many other distinguished persons, undeservedly faded from history. Torn from a happy childhood, and desperate to leave Germany, he finally arrived here, speaking no English, with $4.76 in his pocket. He found love and success. Before he died, he authored 28 books and nearly 1200 published articles. This book tells of his struggles and how he reached his goals, and was a pioneer in calling attention to new public health issues: calling attention to the deadliness of asbestos (1918) linking cancer and smoking (1915) proving that silicosis was a real disease that was killing thousands of American workers (1922) presenting preventive methods for malaria control (1917) predicting from his thousands of air miles in the 1920s that airplanes would replace trains for long-distance passenger travel, and also the danger that airplanes would become major war machines founding the American Cancer Society (1913) helping found the American Lung Association (1904)
This volume demonstrates the variety and creativity of American economics and the links between American economic thought and its non- European context. It contains selected papers from the 1996 History of Economics Society Conference.
