• формат djvu
  • размер 1.86 МБ
  • добавлен 16 февраля 2011 г.
Hamming R.W. The Art of Probability: For Scientists and Engineers
Addison Wesley, 1991. - 344 pages.

This is a superb text for all current and future practitioners of statistics. Richard Hamming wrote this book with a clear pedagogical vision of how to approach the subject in a clear yet nontrivial manner. Particularly clear and deep coverage of generating functions cannot be found in any other book ever written.
Смотрите также

DeCoursey W.J. Statistics and Probability for Engineering Applications (With Microsoft Excel)

  • формат pdf
  • размер 10.12 МБ
  • добавлен 25 января 2011 г.
Newnes, 2003. - 450 pages. This introductory textbook on statistics and probability is aimed at two groups: practicing engineers in industries and engineering students at about the freshman/sophomore level. The material is explained in a very easy-to-understand manner with numerous worked-out examples. Many of the examples presented have an engineering flavor, which will appeal to the intended audience.An important feature of the book is its use...

Ghahramani S. Fundamentals of Probability, with Stochastic Processes

  • формат pdf
  • размер 4.35 МБ
  • добавлен 11 ноября 2011 г.
Prentice Hall, 2004. - 644 pages. Presenting probability in a natural way, this book uses interesting, carefully selected instructive examples that explain the theory, definitions, theorems, and methodology. Fundamentals of Probability has been adopted by the American Actuarial Society as one of its main references for the mathematical foundations of actuarial science. Topics include: axioms of probability; combinatorial methods; conditional...

Howson C., Urbach P. Scientific Reasoning: The Bayesian Approach

  • формат pdf
  • размер 16.1 МБ
  • добавлен 03 мая 2011 г.
Open Court, 2005. - 470 pages. In this clearly reasoned defense of Bayes's Theorem — that probability can be used to reasonably justify scientific theories — Colin Howson and Peter Urbach examine the way in which scientists appeal to probability arguments, and demonstrate that the classical approach to statistical inference is full of flaws. Arguing the case for the Bayesian method with little more than basic algebra, the authors show that it av...

Krishnan V. Probability and Random Processes

  • формат pdf
  • размер 10 МБ
  • добавлен 17 января 2011 г.
Wiley, 2006. - 723 pages. A resource for probability AND random processes, with hundreds of worked examples and probability and Fourier transform tables. This survival guide in probability and random processes eliminates the need to pore through several resources to find a certain formula or table. It offers a compendium of most distribution functions used by communication engineers, queuing theory specialists, signal processing engineers, biom...

Ogunnaike B.A. Random Phenomena: Fundamentals of Probability and Statistics for Engineers

  • формат pdf
  • размер 6.73 МБ
  • добавлен 15 января 2011 г.
CRC, 2009. - 1056 pages. Many of the problems that engineers face involve randomly varying phenomena of one sort or another. However, if characterized properly, even such randomness and the resulting uncertainty are subject to rigorous mathematical analysis. Taking into account the uniquely multidisciplinary demands of 21st-century science and engineering, Random Phenomena: Fundamentals of Probability and Statistics for Engineers provides stude...

Patrick Billingsley. Probability and Measure. 3rd Edition

  • формат djvu
  • размер 4.38 МБ
  • добавлен 17 ноября 2011 г.
Wiley-Interscience, 608 pages, 1995. Now in its new third edition, Probability and Measure offers advanced students, scientists, and engineers an integrated introduction to measure theory and probability. Retaining the unique approach of the previous editions, this text interweaves material on probability and measure, so that probability problems generate an interest in measure theory and measure theory is then developed and applied to probabilit...

Rumsey D. Probability For Dummies

  • формат pdf
  • размер 4.5 МБ
  • добавлен 08 апреля 2011 г.
For Dummies, 2006. - 384 pages. Packed with practical tips and techniques for solving probability problems Increase your chances of acing that probability exam -- or winning at the casino! Whether you're hitting the books for a probability or statistics course or hitting the tables at a casino, working out probabilities can be problematic. This book helps you even the odds. Using easy-to-understand explanations and examples, it demystifies pro...

Scheaffer R.L., Mulekar M., McClave J.T. Probability and Statistics for Engineers

  • формат pdf
  • размер 13.24 МБ
  • добавлен 13 сентября 2011 г.
Duxbury Press, 2010. - 818 pages. "Probability and Statistics for Engineers" provides a one-semester, calculus-based introduction to engineering statistics that focuses on making intelligent sense of real engineering data and interpreting results. Traditional topics are presented thorough an accessible modern framework that emphasizes the statistical thinking, data collection and analysis, decision-making, and process improvement skills that eng...

Schwarzlander H. Probability Concepts and Theory for Engineers

  • формат pdf
  • размер 7.42 МБ
  • добавлен 13 мая 2011 г.
Wiley, 2011. - 622 pages. A thorough introduction to the fundamentals of probability theory. This book offers a detailed explanation of the basic models and mathematical principles used in applying probability theory to practical problems. It gives the reader a solid foundation for formulating and solving many kinds of probability problems for deriving additional results that may be needed in order to address more challenging questions, as well...

Walpole R.E., Myers R.H., Myers S.L., Ye K. Probability & Statistics for Engineers & Scientists

  • формат pdf
  • размер 6 МБ
  • добавлен 18 сентября 2011 г.
Prentice Hall, 2011. - 816 pages. 9th edition This classic text provides a rigorous introduction to basic probability theory and statistical inference, with a unique balance of theory and methodology. Interesting, relevant applications use real data from actual studies, showing how the concepts and methods can be used to solve problems in the field. This revision focuses on improved clarity and deeper understanding.