Description
Presents the science of statistics, focusing on contemporary examples and applications from diverse areas, and an explanation of intuition and ideas behind each method
About the Author
Dr. Sheldon M. Ross is a professor in the Department of Industrial and Systems Engineering at the University of Southern California. He received his PhD in statistics at Stanford University in 1968. He has published many technical articles and textbooks in the areas of statistics and applied probability. Among his texts are A First Course in Probability, Introduction to Probability Models, Stochastic Processes, and Introductory Statistics. Professor Ross is the founding and continuing editor of the journal Probability in the Engineering and Informational Sciences. He is a Fellow of the Institute of Mathematical Statistics, a Fellow of INFORMS, and a recipient of the Humboldt US Senior Scientist Award.
Reviews
"The coverage is careful and slow, with many worked examples and plenty of problems, half of which have answers. ...Illuminating examples abound. Those who are less than wholly confident about any of the material will find it a rich and unthreatening resource of information and also of questions (even if they are almost all derived from a US context). I have been looking for some time for a properly academic superior to M.J. Moroney's invaluable if outdated Facts from figures which I have used for forty years, and this would seem to fill the bill." --The Mathematical Gazette "There are some interesting topics included that are not in most introductory stats texts, such as the Gini index, bandit problems, and quality control." --MAA Reviews
Book Information
ISBN 9780128043172
Author Sheldon M. Ross
Format Hardback
Page Count 828
Imprint Academic Press Inc
Publisher Elsevier Science Publishing Co Inc
Weight(grams) 1770g