• формат pdf
  • размер 5.75 МБ
  • добавлен 24 октября 2011 г.
Lamperti J.W. Probability: A Survey of the Mathematical Theory
Wiley, 1996. - 189 pages. 2nd Edition.
The brand new edition of this classic text - with more exercises and easier to use than ever Like the first edition, this new version of Lamperti's classic text succeeds in making this fascinating area of mathematics accessible to readers who have limited knowledge of measure theory and only some familiarity with elementary probability. Streamlined for even greater clarity and with more exercises to help develop and reinforce skills, Probability is ideal for graduate and advanced undergraduate students-both in and out of the classroom.
Probability covers:
- Probability spaces, random variables, and other fundamental concepts.
- Laws of large numbers and random series, including the Law of the Iterated Logarithm.
- Characteristic functions, limiting distributions for sums and maxima, and the "Central Limit Problem".
- The Brownian Motion process.
Смотрите также

Devore J.L., Berk K.N. Modern Mathematical Statistics with Applications

  • формат pdf
  • размер 5.44 МБ
  • добавлен 06 сентября 2011 г.
Thompson, 2006. - 848 pages. Many mathematical statistics texts are heavily oriented toward a rigorous mathematical development of probability and statistics, without emphasizing contemporary statistical practice. "Modern Mathematical Statistics with Applications" strikes a balance between mathematical foundations and statistical practice. Accomplished authors Jay Devore and Ken Berk first engage students with real-life problems and scenarios an...

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.

Lange K. Applied Probability

  • формат pdf
  • размер 3.34 МБ
  • добавлен 19 января 2011 г.
Springer-Verlag, 2010. - 436 pages. This textbook on applied probability is intended for graduate students in applied mathematics, biostatistics, computational biology, computer science, physics, and statistics. It presupposes knowledge of multivariate calculus, linear algebra, ordinary differential equations, and elementary probability theory. Given these prerequisites, Applied Probability presents a unique blend of theory and applications, wi...

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...

Roussas G. Introduction to Probability

  • формат pdf
  • размер 7.45 МБ
  • добавлен 04 октября 2011 г.
Academic Press, 2006. - 400 pages. Features exceptionally clear explanations of the mathematics of probability theory and explores its many diverse applications through numerous interesting and motivational examples. This book is an introductory textbook in probability. No prior knowledge in probability is required; however, previous exposure to an elementary precalculus course in probability would prove beneficial in that the student would no...

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...

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

Stone C.J. A Course in Probability and Statistics

  • формат djvu
  • размер 18.22 МБ
  • добавлен 09 мая 2011 г.
Duxbury Press, 1995. - 838 pages. This author's modern approach is intended primarily for honors undergraduates or undergraduates with a good math background taking a mathematical statistics or statistical inference course. The author takes a finite-dimensional functional modeling viewpoint (in contrast to the conventional parametric approach) to strengthen the connection between statistical theory and statistical methodology. The writing of...

Terrell G. Mathematical Statistics: A Unified Introduction

  • формат pdf
  • размер 2.36 МБ
  • добавлен 06 августа 2011 г.
Springer, 1999. - 453 pages. This textbook introduces the mathematical concepts and methods that underlie statistics. The course is unified, in the sense that no prior knowledge of probability theory is assumed; this is developed as needed. The book is committed to a high level of mathematical seriousness; and to an intimate connection with application. Modern methods, such as logistic regression, are introduced; as are unjustly neglected class...