Introduction to Probability and Statistics for Data Science: with R | Agenda Bookshop Skip to content
Please note that books with a 10-20 working days delivery time may not arrive before Christmas.
Please note that books with a 10-20 working days delivery time may not arrive before Christmas.
A01=Douglas C. Montgomery
A01=Jr
A01=Ronald D. Fricker
A01=Steven E. Rigdon
Age Group_Uncategorized
Age Group_Uncategorized
Author_Douglas C. Montgomery
Author_Jr
Author_Ronald D. Fricker
Author_Steven E. Rigdon
automatic-update
Category1=Non-Fiction
Category=GPH
Category=PBT
Category=UFM
COP=United Kingdom
Delivery_Pre-order
Language_English
PA=Not yet available
Price_€100 and above
PS=Forthcoming
softlaunch

Introduction to Probability and Statistics for Data Science: with R

Introduction to Probability and Statistics for Data Science provides a solid course in the fundamental concepts, methods and theory of statistics for students in statistics, data science, biostatistics, engineering, and physical science programs. It teaches students to understand, use, and build on modern statistical techniques for complex problems. The authors develop the methods from both an intuitive and mathematical angle, illustrating with simple examples how and why the methods work. More complicated examples, many of which incorporate data and code in R, show how the method is used in practice. Through this guidance, students get the big picture about how statistics works and can be applied. This text covers more modern topics such as regression trees, large scale hypothesis testing, bootstrapping, MCMC, time series, and fewer theoretical topics like the Cramer-Rao lower bound and the Rao-Blackwell theorem. It features more than 250 high-quality figures, 180 of which involve actual data. Data and R are code available on our website so that students can reproduce the examples and do hands-on exercises. See more
Current price €147.59
Original price €163.99
Save 10%
A01=Douglas C. MontgomeryA01=JrA01=Ronald D. FrickerA01=Steven E. RigdonAge Group_UncategorizedAuthor_Douglas C. MontgomeryAuthor_JrAuthor_Ronald D. FrickerAuthor_Steven E. Rigdonautomatic-updateCategory1=Non-FictionCategory=GPHCategory=PBTCategory=UFMCOP=United KingdomDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€100 and abovePS=Forthcomingsoftlaunch

Will deliver when available. Publication date 31 Dec 2024

Product Details
  • Publication Date: 14 Nov 2024
  • Publisher: Cambridge University Press
  • Publication City/Country: United Kingdom
  • Language: English
  • ISBN13: 9781107113046

About Douglas C. MontgomeryJrRonald D. FrickerSteven E. Rigdon

Steven E. Rigdon is Professor of Biostatistics at Saint Louis University. He is a fellow of the American Statistical Association and is the author of Statistical Methods for the Reliability of Repairable Systems Calculus 8th and 9th editions Monitoring the Health of Populations by Tracking Disease Outbreaks (2020) and Design of Experiments for Reliability Achievement (2022). He has received the Waldo Vizeau Award for technical contributions to quality the Soren Bisgaard Award and the Paul Simon Award for linking teaching and research. He is also Distinguished Research Professor Emeritus at Southern Illinois University Edwardsville. Ronald D. Fricker is Vice Provost for Faculty Affairs at Virginia Tech where he has served as head of the Department of Statistics Senior Associate Dean in the College of Science and subsequently interim dean of the college. He is the author of Introduction to Statistical Methods for Biosurveillance (2013) and with Steve Rigdon Monitoring the Health of Populations by Tracking Disease Outbreaks (2020). He is a fellow of the American Statistical Association a fellow of the American Association for the Advancement of Science and an elected member of the Virginia Academy of Science Engineering and Medicine. Douglas C. Montgomery is Regents Professor and ASU Foundation Professor of Engineering at Arizona State University. He is an Honorary Member of the American Society for Quality a fellow of the American Statistical Association a fellow of the Institute of Industrial and Systems Engineering and a fellow of the Royal Statistical Society. He is the author of fifteen other books including Design and Analysis of Experiments 10th edition (2013) and Design of Experiments for Reliability Achievement (2022). He has received the Shewhart Medal the Distinguished Service Medal and the Brumbaugh Award from the ASQ the Deming Lecture Award from the ASA the Greenfield Medal from the Royal Statistical Society and the George Box Medal from the European Network for Business and Industrial Statistics.

Customer Reviews

Be the first to write a review
0%
(0)
0%
(0)
0%
(0)
0%
(0)
0%
(0)
We use cookies to ensure that we give you the best experience on our website. If you continue we'll assume that you are understand this. Learn more
Accept