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The Design and Analysis of Computer Experiments
This book describes methods for designing and analyzing experiments that are conducted using a computer code, a computer experiment, and, when possible, a physical experiment. Computer experiments continue to increase in popularity as surrogates for and adjuncts to physical experiments. Since the publication of the first edition, there have been many methodological advances and software developments to implement these new methodologies. The computer experiments literature has emphasized the construction of algorithms for various data analysis tasks (design construction, prediction, sensitivity analysis, calibration among others), and the development of web-based repositories of designs for i...
Statistics: Concepts and Controversies
This practical textbook by David Moore and William Notz introduces a conceptual approach to statistics and shows students how use these ideas to think about the statistical claims they see every day from polls, campaigns, advertising, public policy, and many different fields of study. The ultimate goal is to equip students with solid statistical reasoning skills that will help them understand impact of statistics on all aspects of their lives.
The Design and Analysis of Computer Experiments
This book describes methods for designing and analyzing experiments conducted using computer code in lieu of a physical experiment. It discusses how to select the values of the factors at which to run the code (the design of the computer experiment). It also provides techniques for analyzing the resulting data so as to achieve these research goals.
Loose-leaf Version for Statistics: Concepts and Controversies
David Moore and William Notz’s Statistics: Concepts and Controversies (SCC) introduces liberal arts majors to statistical ideas—and shows them how use those ideas to think about the statistical claims they see every day from polls, campaigns, advertising, public policy, and many different fields of study. The ultimate goal is to equip students with solid statistical reasoning skills that will help them understand impact of statistics on all aspects of our lives. The new edition offers SCC’s signature combination of engaging cases, real-life examples and exercises, helpful pedagogy, rich full-color design, and innovative media learning tools, all significantly updated.
Capital of Mind
"In the second volume of his planned trilogy that will recast the history of the university in a fresh and surprising light, Adam R. Nelson aims to show how knowledge, which had been commodified starting in the late eighteenth century, became industrialized in the nineteenth century. Nelson explains how the idea of the modern university arose from a set of institutional and ideological reforms designed to foster the mass production and mass consumption of knowledge--that is, the industrialization of ideas. Fusing the history of higher education with the history of capitalism, Nelson suggests that this "marketization" of knowledge propelled the institutionalization of the university, far earlier than previously understood"--
All of Statistics
Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.
