• формат pdf
  • размер 4.5 МБ
  • добавлен 08 апреля 2011 г.
Rumsey D. Probability For Dummies
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 probability -- and even offers savvy tips to boost your chances of gambling success!

Discover how to
- Conquer combinations and permutations
- Understand probability models from binomial to exponential
- Make good decisions using probability
- Play the odds in poker, roulette, and other games
Смотрите также

Durrett R. Elementary Probability for Applications

  • формат pdf
  • размер 2.08 МБ
  • добавлен 29 ноября 2011 г.
Cambridge University Press, 2009. - 254 pages. This clear and lively introduction to probability theory concentrates on the results that are the most useful for applications, including combinatorial probability and Markov chains. Concise and focused, it is designed for a one-semester introductory course in probability for students who have some familiarity with basic calculus. Reflecting the author's philosophy that the best way to learn probab...

Fisz M. Probability Theory and Mathematical Statistics

  • формат djvu
  • размер 7.35 МБ
  • добавлен 04 января 2011 г.
John Wiley & Sons, 1963. - 695 pages. Probability theory can be understood as a mathematical model for the intuitive notion of uncertainty. Without probability theory all the stochastic models in Physics, Biology, and Economics would either not have been developed or would not be rigorous. Also, probability is used in many branches of pure mathematics, even in branches one does not expect this, like in convex geometry.

Gnedenko B.V., Khinchin A.Ya. An Elementary Introduction to the Theory of Probability

  • формат pdf
  • размер 4.42 МБ
  • добавлен 29 марта 2011 г.
Explores concept of probability, surveys rules for addition and multiplication of probabilities, conditional probability, total probability, Bayes formula, Bernoulli’s scheme, random variables, the Chebychev inequality, distribution curves, and the means by which an event is declared to be in practice impossible.

Murray R. Spiegel Theory and problems of probability statistics

  • формат pdf
  • размер 26.86 МБ
  • добавлен 23 января 2011 г.
McGraw-Hill, 1998, 376 pages. The purpose of this book is to present a modern introduction to probability and statistics using background of calculus. For convenience the book is divided into two parts. The first deals with probability (and by itself can be used to provide an introduction to the subject), while the second deals with statistics. The book is designed to be used either as a textbook for formal course in probability and statistics or...

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...

Ross S. A First Course in Probability

  • формат pdf
  • размер 3.05 МБ
  • добавлен 25 сентября 2011 г.
Prentice Hall, 2009. - 552 pages. 8th Edition 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 for math, science, engineering and business students. It assumes a background in elementary cal...

Rumsey D. Intermediate Statistics For Dummies

  • формат pdf
  • размер 12.71 МБ
  • добавлен 09 апреля 2011 г.
For Dummies, 2007. - 384 pages. Need to know how to build and test models based on data? Intermediate Statistics For Dummies gives you the knowledge to estimate, investigate, correlate, and congregate certain variables based on the information at hand. The techniques you’ll learn in this book are the same techniques used by professionals in medical and scientific fields. Picking up right where Statistics For Dummies left off, this straightforw...

Rumsey D. Statistics Essentials For Dummies

  • формат pdf
  • размер 2.34 МБ
  • добавлен 09 апреля 2011 г.
For Dummies, 2010. - 192 pages. Statistics Essentials For Dummies not only provides students enrolled in Statistics I with an excellent high-level overview of key concepts, but it also serves as a reference or refresher for students in upper-level statistics courses. Free of review and ramp-up material, Statistics Essentials For Dummies sticks to the point, with content focused on key course topics only. It provides discrete explanations of esse...

Schmuller J. Statistical Analysis with Excel For Dummies

  • формат pdf
  • размер 15.93 МБ
  • добавлен 26 февраля 2011 г.
For Dummies, 2009. - 504 Pages. You too can understand the statistics of life, even if you're math-challenged! What do you need to calculate? Manufacturing output? A curve for test scores? Sports stats? You and Excel can do it, and this non-intimidating guide shows you how. It demystifies the different types of statistics, how Excel functions and formulas work, the meaning of means and medians, how to interpret your figures, and more — in plain...

Sheldon M. Introduction to Probability Models

  • формат pdf
  • размер 3.17 МБ
  • добавлен 29 июня 2011 г.
Book 2007, 782p, ISBN-13: 978-0-12-598062-3 Ninth Edition content Introduction to Probability Theory Introduction to Probability Theory Conditional Probability and Conditional Expectation Markov Chains The Exponential Distribution and the Poisson Process Continuous-Time Markov Chains Renewal Theory and Its Applications Queueing Theory Reliability Theory Brownian Motion and Stationary Processes Simulation Appendix: Solutions to Starred Exercises