Sign up
Forgot password?
FAQ: Login

Ross S.M. Introduction to Probability Models

  • pdf file
  • size 3,02 MB
  • added by
  • info modified
Ross S.M. Introduction to Probability Models
10th edition. — Academic Press, 2009. — 801 p. — ISBN10: 0123756863; ISBN13: 978-0123756862
Ross's classic bestseller, Introduction to Probability Models, has been used extensively by professionals and as the primary text for a first undergraduate course in applied probability. It provides an introduction to elementary probability theory and stochastic processes, and shows how probability theory can be applied to the study of phenomena in fields such as engineering, computer science, management science, the physical and social sciences, and operations research. With the addition of several new sections relating to actuaries, this text is highly recommended by the Society of Actuaries.
  • Sign up or login using form at top of the page to download this file.
  • Sign up

See also

Details

Goodfellow Ian, Bengio Yoshua, Courville Aaron. Deep Learning Book

  • pdf
MIT Press, 2016. — 802 p. A comprehensive introduction to neural networks and deep learning by leading researchers of this field. Written for two main target audiences: university students (undergraduate or graduate) learning about machine learning, and software engineers. This is a PDF compilation of online book (www.deeplearningbook.org) Who Should Read This Book? Historical...
  • 22,29 MB
  • added
  • info modified
Details

Grimmett G.R., Stirzaker D.R. Probability and Random Processes

  • pdf
Third Edition. — Oxford University Press, 2001. — 608 p. — ISBN: 0198572239, 978-0198572220. This book gives an introduction to probability and its many practical application by providing a thorough, entertaining account of basic probability and important random processes, covering a range of important topics. Emphasis is on modeling rather than abstraction and there are new...
  • 12,64 MB
  • added
  • info modified
Details

Murphy K.P. Machine Learning: A Probabilistic Perspective

  • pdf
Massachusetts Institute of Technology, 2012. — 1067 p. ISBN: 0262018020, 978-0262018029. Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and...
  • 25,69 MB
  • added
  • info modified
Details

Nisbet R., Elder J., Miner G. Handbook of Statistical Analysis and Data Mining Applications

  • pdf
Academic Press, 2009. — 864 p. — ISBN: 0123747651. Robert Nisbet, Pacific Capital Bank Corporation, Santa Barbara, CA, USA John Elder, Elder Research, Inc. and the University of Virginia, Charlottesville, USA Gary Miner, StatSoft, Inc. , Tulsa, OK, USA Description The Handbook of Statistical Analysis and Data Mining Applications is a comprehensive professional reference book...
  • 41,49 MB
  • added
  • info modified
Details

Ross S. A First Course in Probability

  • pdf
8th Edition. — Prentice Hall, 2009. — 552 p. — ISBN: 978-0-13-603313-4. A First Course in Probability, Eighth Edition, features clear and intuitive explanations of the mathematics of probability theory, outstanding problem sets, and a variety of diverse examples and applications. This book is ideal for an upper-level undergraduate or graduate level introduction to probability...
  • 3,05 MB
  • added
  • info modified
Details

Ross S.M., Pekoz E.A. A Second Course in Probability

  • pdf
Probabilitybookstore.com, 2007. — 212 p. The 2006 INFORMS Expository Writing Award-winning and best-selling author Sheldon Ross (University of Southern California) teams up with Erol Peköz (Boston University) to bring you this textbook for undergraduate and graduate students in statistics, mathematics, engineering, finance, and actuarial science. This is a guided tour designed...
  • 9,48 MB
  • added
  • info modified
Up