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         Probability:     more books (100)
  1. Probability, Markov Chains, Queues, and Simulation: The Mathematical Basis of Performance Modeling by William J. Stewart, 2009-07-06
  2. Introduction to Probability with Mathematica, Second Edition (Textbooks in Mathematics) by Kevin J. Hastings, 2009-09-21
  3. Probability and Statistics in Engineering by William W. Hines, Douglas C. Montgomery, et all 2003-01-02
  4. Measure Theory and Probability by Malcolm Adams, Victor Guillemin, 1996-01-26
  5. Probability Theory, Live! by Ion Saliu, 2010-02-03
  6. Probability Theory: A Comprehensive Course (Universitext) by Achim Klenke, 2007-12-18
  7. Intuitive Probability and Random Processes using MATLAB by Steven Kay, 2005-11-16
  8. Forex Patterns & Probabilities: Trading Strategies for Trending & Range-Bound Markets (Wiley Trading) by Ed Ponsi, 2007-07-27
  9. An Elementary Introduction to the Theory of Probability by B. V. Gnedenko, A. Ya. Khinchin, 2010-11-18
  10. Chances Are: Adventures in Probability by Michael Kaplan, Ellen Kaplan, 2007-02-27
  11. CK-12 Advanced Probability and Statistics by CK-12 Foundation, 2010-09-15
  12. The Blank Swan: The End of Probability by Elie Ayache, 2010-05-24
  13. Fundamentals of Probability, with Stochastic Processes (3rd Edition) by Saeed Ghahramani, 2004-08-01
  14. Probability Models by John Haigh, 2002-03-05

101. Calculus And Probability
Online course by Stefan Waner and Steven R. Costenoble
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102. Probability - PowerPoint Presentation
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103. Probability Theory And Related Fields
Editors site. Published by Springer.
Probability Theory and Related Fields
Jean Bertoin and Jean-Francois Le Gall became the joint Managing Editors on 1 October 2005. The retiring editor thanks all those who have supported the journal during his editorship, either through the submission of their papers, or through their help as advisors on the submissions of others. The arrangements for the submission and handling of papers are as follows.
  • All submissions should be sent to the new PTRF office in Paris, email:
  • New contact details:
    Editorial assistant, Mme Auffray, PTRF
    Ecole Normale Superieure
    45 rue d'Ulm
    75230 Paris Cedex 05, France
    Tel: 0033 1 4432 2049
    Fax: 0033 1 4432 2069
  • Most submissions logged prior to 31 September 2005 will continue to be handled by members of the previous board. The contact email for such papers remains until 31 December 2005, after when queries should be addressed to the Paris email address above.
Electronic PTRF
The electronic pages of PTRF
are kept at the web site of the publisher . The recent issues may be accessed electronically if your institution has paid its subscription, or if you have an individual subscription (at a cost of about $50, see below).

104. Annals Of Probability
The Annals of probability publishes research papers in modern probability theory , its relations to other areas of mathematics, and its applications in the
Editorial Board Editorial Policy Contacts Electronic Access ... Other IMS Journals
Annals of Probability
The Annals of Probability publishes research papers in modern probability theory, its relations to other areas of mathematics, and its applications in the physical and biological sciences. Emphasis is on importance, interest, and originality - formal novelty and correctness are not sufficient for publication. The Annals will also publish authoritative review papers and surveys of areas in vigorous development.
Editorial Board
Ofer Zeitouni
Associate Editors Itai Benjamini
Sergey Bobkov

Alexei Borodin

Sourav Chatterjee
Wendelin Werner
Managing Editor Michael Phelan
Production Editor Patrick Kelly
Past Editors
web site contact:

105. Discussiones Mathematicae Probability And Statistics
Contents and abstracts from vol.15 (1995) on.

106. ESAIM: Probability And Statistics (ESAIM: P&S)
(SMAI) An online probability and statistics journal.

107. Probability Tutorial
Example Find the probability of getting a tail in tossing of a coin. .. Ex. The odds in favours of an event are 35 find the probability of the
Home Ask Questions Exam tips Answers ... About Us Topics in Math tutorial: Integral Calculus Probability Permutation and combination Binomial theorem ... Quiz
Probability Tutorial Basic Concepts Random Experiment: An experiment is said to be a random experiment, if it's out-come can't be predicted with certainty. Example; If a coin is tossed, we can't say, whether head or tail will appear. So it is a random experiment. Sample Space: The sent of all possible out-comes of an experiment is called the sample space. It is denoted by 'S' and its number of elements are n(s). Example; In throwing a dice, the number that appears at top is any one of 1,2,3,4,5,6. So here: The elements of the sample space are called sample point or event point. Event: Every subset of a sample space is an event. It is denoted by 'E'. Clearly E is a sub set of S. Simple event; An event, consisting of a single sample point is called a simple event. Compound event: A subset of the sample space, which has more than on element is called a mixed event.

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109. Probability Surveys
probability Surveys publishes survey articles in theoretical and applied probability. The style of articles may range from reviews of recent research to
Home Current Past volumes About ... PS Home Vol. 7 (2010) open journal systems
Probability Surveys publishes survey articles in theoretical and applied probability. The style of articles may range from reviews of recent research to graduate textbook exposition. Articles may be broad or narrow in scope. The essential requirements are a well specified topic and target audience, together with clear exposition.
Probability Surveys is sponsored by the Institute of Mathematical Statistics and by the Bernoulli Society
articles Moments of Gamma type and the Brownian supremum process area Abstract PDF Svante Janson Pages: 1-52
The following three surveys are accounts of courses given at the School on Information and Randomness, given at the Center for Mathematical Modeling of the University of Chile, in December 2008 Limit theorems for discrete-time metapopulation models Abstract PDF Fionnuala M. Buckley and Philip K. Pollett Pages: 53-83
Symbolic extensions of smooth interval maps Abstract PDF Tomasz Downarowicz Pages: 84-104
Regeneration in random combinatorial structures Abstract PDF Alexander V. Gnedin

110. An Introduction To Probability - BGSU University Home Page
Nov 24, 1996 Constructing a probability table by listing outcomes. Constructing a probability table by An average value of a probability distribution
  • What is a probability?
  • Measuring probabilities by means of a calibration experiment ... PROBABILITY ACTIVITIES Page Author: Jim Albert (c)
    Last Modified: November 24, 1996
  • 111. Making Sense Of Probability
    Norman Fenton provides many examples of probability problems that people normally get wrong or do not understand.
    in partnership with Providing Outreach in Computer Science Bringing Bayesian solutions to real-world risk problems
    Making Sense of Probability:
    Fallacies, Myths and Puzzles
    You have probably heard the following 'puzzle':
    In a class of 23 children what is the probability that at least two children share the same birthday?
    You might even remember that the answer is 'better than 1 in 2". But you probably cannot explain why the answer is anything like this, and when asked the question the first time you probably gave a completely wrong answer - one that massively underestimates the true probability.
    Don't worry because most people (even highly intelligent people like world-leading barristers, scientists, surgeons and businessmen) make exactly the same mistakes (just as they can be easily convinced of many things that are totally false like this ). Not knowing the probability that children share the same birthday is hardly going to affect your life. But the problem is strikingly similar to many that

    112. Let's Make A Deal Math: Probability
    What is the probability of winning? The purpose of this WebQuest is to introduce you to some interesting problems and learn about probable outcomes.
    Linda D. Resch
    Task Process Resources ... Conclusion Introduction
    "Heads, you go first; tails, I do." "I need to roll a seven to win." "If I can spin and land on a green slot the jackpot is mine." How many times have you played a game and hoped to win? What is the probability of winning? The purpose of this WebQuest is to introduce you to some interesting problems and learn about probable outcomes. At the conclusion of the WebQuest you will be able to explain why some choices are better than others. Benchmarks: Grade 6 Strand 8: Data Analysis and Probability SLC 24: Make predictions of outcomes of experiments based upon theoretical probabilitities and explain actual outcomes. Strand 4: Data Analysis and Probability SLC 14: Represent and interpret the possible outcomes for a mathematical situation and calculate probabilities. Task Your task is to solve and analyze several problems about probability. After you have completed this task and understand how probability works, design a game or activity that will show others what you have learned. Your final project will include:
    • A tally sheet showing the results of coin flipping
    • A printed copy showing your results while playing one of the Monty Hall simulation games
    • An explanation about whether or not you should switch your door selection during the Monty Hall game
    • A probability game
    • Answers to the Skill Level and Concept Level questions
    Skill Level
    • What is the definition of probability?

    113. Mike McLaughin S Probability Distributions Compendium
    Document describing many common probability distributions and their properties including, pdf, cdf, moments, and random variate generation.

    114. Index
    Class notes for a university course on probability and random processes, by John L. Stensby. Notes are in .pdf format. Introductory through advanced topics are covered.
    EE420/500/603 Random Signals and Noise Class Note Archives
    Name: Dr. John L. Stensby Email: Telephone: Description: Probability, Statistics and Random Processes including Autocorrelation, Cross Correlations, Power Spectral Density, Response of Systems to Random Inputs, Narrow-Band Gaussian and Shot Noise, System Noise Figure Analysis, Sequences of Random Variables, Series Representation of Random Processes, Markov Process System Models and Much More! Click on links below to download EE420/500/603 class notes. Ch. 1 - 8 are EE420/500 class notes. Readme First! EE420/500 Class Handout Chapter 1 - Introduction to Probability ... Power Density Spectrum Ch. 9 - 14 Are EE603 class notes. EE603 Class Handout Chapter 9 - Commonly Used Models: Narrowband Gaussian Noise and Shot Noise Appendix 9A - ... Markov Process Dynamic System State Model View my other pages Communication Systems Applied Linear Algebra and Matrix Theory Thanks! John

    115. Probability
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    116. University Of Manchester Probability And Statistics Group
    Undertakes research in areas including the study of statistical theory and a wide range of applied research. The main statistical applications are in biological, environmental and medical practices.
    You are here: MIMS research MIMS PROBABILITY AND STATISTICS group members publications seminars msc programmes RELATED PAGES seminar series EPrints visitors SCHOOL OF MATHEMATICS ... postgraduate admissions
    Probability and Statistics Group
    The Probability and Statistics group comprises 17 members The Probability subgroup has made numerous and significant contributions to the theory of random walks and Levy processes; Brownian motion and diffusion processes; Markov, branching and point processes; random fields; Dirichlet forms; stochastic analysis; stochastic differential equations; stochastic partial differential equations; stochastic calculus; optimal stopping; and optimal stochastic control. The Probability subgroup is internationally recognised for its research in these areas and their applications. The Statistics subgroup works in areas ranging from the study of statistical theory, to aspects of applied research, including covariance modelling, distribution theory, extreme value theory, generalised estimating equations, growth curve models, higher order spectral analysis, linear and non-linear mixed models, longitudinal and survival data modelling, multivariate statistics, experimental design, nonparametric density estimation, nonparametric smoothing, non-stationary and non-linear time series analysis, statistical diagnostics and symbolic computation. The main statistical applications are in biological, environmental and medical practices. Research is also undertaken in stochastic epidemic models and MCMC, an interface area between Probability and Statistics. The Statistics subgroup is internationally recognised for its research in these areas and their applications.

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    118. Statistics & Probability Letters - Elsevier
    STATISTICS probability LETTERS adopts a novel and highly innovative approach to the publication of research findings in statistics and probability.

    119. Lotto Probabilities
    Calculation of the probabilities to win the Norwegian Lotto. Can also be applied to other lotto games.
    If you are interested in playing poker on the internet, I recomend Everest Poker . By signing up with Everest Poker you get an USD 100 welcome bonus. I highly recommends this site where there is an excellent selection of tables and an unusually high proportion of fish (weak players)!
    [ Main page]
    Lotto Probabilities
    Page with 7+2 calculations (before 7+3 calculated here)
    Earlier the Norwegian Lotto only draws two extra numbers. After they changed the rule and started draw tree numbers the probabilities changed as follow: With three(new) instead of two(old) extra drawn numbers, the probability for winning * 7 same * 6+1 increase with 50% (14 -> 21 ) * 6+0 decrease with 4% (175 -> 168 ) * 5 same * 4+1 increase with 44 % (21875 -> 31535) This means * There are 9960(31535-21875) more ways to win out of 5379616 possible ways * There are 2.82% bigger chance of winning (966000/29436 = 32.82) * But still you will only have a 0.73% (3909600/5379616) chance of winning, up from previously 0.55% (2943600/5379616) (ie you will win 1 out of every 138 time)
    The probability of winning in the Norwegian lotto is as follow Probability (%) Not winning If you play a lot of games, what is the probability to

    120. College Algebra Tutorial On Probability
    Jun 23, 2003 In this tutorial we will be going over probability. This will include learning some of the terminology that goes with the different aspects
    (Back to the College Algebra Homepage)
    (Back to the GRE Math Help Page)
    College Algebra
    Tutorial 58:
    Learning Objectives

    After completing this tutorial, you should be able to:
  • Find the probability of an empirical event. Find a theoretical probability. Know when two events are mutually exclusive. Use basic properties of probability to find various probabilities. Know when two events are independent of each other. Know how to find the probability of the intersection of two independent events.

  • Introduction
    In this tutorial we will be going over probability. This will include learning some of the terminology that goes with the different aspects of probability. Things like experiment, sample space and event to name a few. A lot of times people associate probability with gambling, like playing cards and lotto. It can be used to find out your chances of winning :-) or losing :-( a game of chance. But it can also be used in other areas like research and advertising. A doctor might want to weigh the risks of putting a patient on a new drug and may look at the probability of their chances of success on the drug. A company may take a survey of people on certain products to see what is the probability that they will pick their product. So probability can be fun and games, but it can also be useful in a professional setting. I think you are ready to venture into the world of probability.

    An experiment is an act for which the outcome is uncertain.

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