Past Present and Future of Statistical Science [PDF] [StormRG]

Author: Xihong Lin, Christian Genest, David L. Banks, Geert Molenberghs, David W. Scott, Jane-Ling Wang
Hardcover: 646 pages
Publisher: Chapman and Hall/CRC; 1 edition (March 26, 2014)
Language: English
ISBN-10: 1482204967
ISBN-13: 978-1482204964
Format: Retail PDF
Reader Required: Adobe Reader, Foxit, Nitro, Adobe Digital Editions

Note: This is the eBook of the printed book and may not include any media,website access codes, or print supplements that may come packaged with the bound book.

Tested on the above readers with no problems on laptop and Android tablet.Don't hesitate to PM me if you have any questions or problem with the download,as comments on torrents are easy to miss. Please allow a couple seconds for the seedboxes to kick in, then it should move pretty quick.
Hope it helps in your studies. Go for it! :D



Past, Present, and Future of Statistical Science was commissioned in 2013 by the Committee of Presidents of Statistical Societies (COPSS) to celebrate its 50th anniversary and the International Year of Statistics. COPSS consists of five charter member statistical societies in North America and is best known for sponsoring prestigious awards in statistics, such as the COPSS Presidents’ award.

Through the contributions of a distinguished group of 50 statisticians who are past winners of at least one of the five awards sponsored by COPSS, this volume showcases the breadth and vibrancy of statistics, describes current challenges and new opportunities, highlights the exciting future of statistical science, and provides guidance to future generations of statisticians. The book is not only about statistics and science but also about people and their passion for discovery.

Distinguished authors present expository articles on a broad spectrum of topics in statistical education, research, and applications. Topics covered include reminiscences and personal reflections on statistical careers, perspectives on the field and profession, thoughts on the discipline and the future of statistical science, and advice for young statisticians. Many of the articles are accessible not only to professional statisticians and graduate students but also to undergraduate students interested in pursuing statistics as a career and to all those who use statistics in solving real-world problems. A consistent theme of all the articles is the passion for statistics enthusiastically shared by the authors. Their success stories inspire, give a sense of statistics as a discipline, and provide a taste of the exhilaration of discovery, success, and professional accomplishment.