An Introduction to Probability and Statistical Inference - Tapa dura

Acerca del autor

George G. Roussas earned a B.S. in Mathematics with honors from the University of Athens, Greece, and a Ph.D. in Statistics from the University of California, Berkeley. As of July 2014, he is a Distinguished Professor Emeritus of Statistics at the University of California, Davis. Roussas is the author of five books, the author or co-author of five special volumes, and the author or co-author of dozens of research articles published in leading journals and special volumes. He is a Fellow of the following professional societies: The American Statistical Association (ASA), the Institute of Mathematical Statistics (IMS), The Royal Statistical Society (RSS), the American Association for the Advancement of Science (AAAS), and an Elected Member of the International Statistical Institute (ISI); also, he is a Corresponding Member of the Academy of Athens. Roussas was an associate editor of four journals since their inception, and is now a member of the Editorial Board of the journal Statistical Inference for Stochastic Processes. Throughout his career, Roussas served as Dean, Vice President for Academic Affairs, and Chancellor at two universities; also, he served as an Associate Dean at UC-Davis, helping to transform that institution's statistical unit into one of national and international renown. Roussas has been honored with a Festschrift, and he has given featured interviews for the Statistical Science and the Statistical Periscope. He has contributed an obituary to the IMS Bulletin for Professor-Academician David Blackwell of UC-Berkeley, and has been the coordinating editor of an extensive article of contributions for Professor Blackwell, which was published in the Notices of the American Mathematical Society and the Celebratio Mathematica.

De la contraportada

An Introduction to Probability and Statistical Inference, Second Edition, introduces readers with no prior knowledge in probability or statistics to a thought process that will guide them toward probability models and statistical methods, and help them to think critically about the various concepts involved. This book provides a plethora of worked-out examples and real-world applications in the form of exercises for each topic discussed, which provide the reader with practical experience in applying probability and statistical methods to different situations

Key Features:

• Content, examples, an enhanced number of exercises, and graphical illustrations, where appropriate, to motivate the reader and demonstrate the applicability of probability and statistical inference in a great variety of human activities
• Reorganized material in the statistical portion of the book to ensure continuity and enhance understanding
• A relatively rigorous, yet accessible and always within the prescribed prerequisites, mathematical discussion of probability theory and statistical inference important to students in a broad variety of disciplines
• Relevant proofs, where appropriate, in each section, followed by exercises with useful clues to their solutions
• Brief answers to even-numbered exercises at the back of the book and detailed solutions to all exercises available to instructors in an Answers Manual