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Probability: more books (100)

Probability, Random Variables and Stochastic Processes by Athanasios Papoulis, S.Unnikrishna Pillai, 2002-01-01
An Introduction to Probability Theory and Its Applications, Vol. 1, 3rd Edition by William Feller, 1968
Probability and Measure, 3rd Edition by Patrick Billingsley, 1995-04-17
Probability and Statistics for Engineering and the Sciences, Enhanced Review Edition by Jay L. Devore, 2008-01-29
Probability and Statistics (4th Edition) by Morris H. DeGroot, Mark J. Schervish, 2011-01-11
A Second Course in Probability by Sheldon M Ross, Erol A Pekoz, 2007-05-01
Student Solutions Manual for Probability & Statistics for Engineers & Scientists by Sharon L. Myers, 2006-08-13
Student's Solution Manual Probability & Statistics by Morris H. DeGroot, Mark J. Schervish, 2002-05-13
Probability: The Science of Uncertainty (Pure and Applied Undergraduate Texts) by Michael A. Bean, 2009-02-19
Elementary Probability Theory: With Stochastic Processes and an Introduction to Mathematical Finance (Undergraduate Texts in Mathematics) by K. L. Chung, Farid AitSahlia, 2010-11-02
The Probability Tutoring Book: An Intuitive Course for Engineers and Scientists (and Everyone Else!) by Carol Ash, 1996-10-31
Probability, Statistical Optics, and Data Testing: A Problem Solving Approach (Springer Series in Information Sciences) (Volume 0) by Roy Frieden, 2001-09-06
Applied Probability Models with Optimization Applications (Dover Books on Mathematics) by Sheldon M. Ross, 1992-12-04
The Pleasures of Probability (Undergraduate Texts in Mathematics / Readings in Mathematics) by Richard Isaac, 1995-02-24

lists with details

Probability Theory As Extended Logic
Louis probability Theory As Extended Logic. Last Modified 18-2004 Tom LoredoWe have Tom Loredo s excellent tutorial on probability theory.
http://bayes.wustl.edu/

Extractions: Last Modified Edwin T. Jaynes was one of the first people to realize that probability theory, as originated by Laplace, is a generalization of Aristotelian logic that reduces to deductive logic in the special case that our hypotheses are either true or false. This web site has been established to help promote this interpretation of probability theory by distributing articles, books and related material. As Ed Jaynes originated this interpretation of probability theory we have a large selection of his articles, as well as articles by a number of other people who use probability theory in this way: E. T. Jaynes: Amazon here in the US. It is also available directly from Cambridge. and from Amazon in the UK. We still have a selection of Dr. Jaynes' articles , and the first three chapters from Jaynes' book on probability theory are now online as a pdf file or as a postscript file. A typed publication quality version of his unpublished book titled "Probability Theory, With Applications in Science and Engineering" that was being prepared for publication in the mid 1970's is available.
MCA Learning Units
Features selected learning modules for arithmetic, algebra, geometry, trigonometry, statistics and probability. Includes some resource links.
http://www.staff.vu.edu.au/mcaonline/units/index.html
Combinatorics, Probability & Computing
Home Journals Combinatorics, probability Computing. Combinatorics, probability Computing. Edited by Béla Bollobás University of Memphis, USA.
http://titles.cambridge.org/journals/journal_catalogue.asp?historylinks=ALPHA&mn
Probability In The Engineering And Informational Sciences
Home Journals probability in the Engineering and Informational Sciences. probabilityin the Engineering and Informational Sciences.
http://titles.cambridge.org/journals/journal_catalogue.asp?historylinks=ALPHA&mn
Infinite Dimensional Analysis, Quantum Probability And Related Topics (IDAQP)
World Scientific. Contents, abstracts of all volumes; full text to institutional subscribers.
http://www.worldscinet.com/idaqp/idaqp.shtml

Extractions: Infinite Dimensional Analysis, Quantum Probability and Related Topics (IDAQP) In the past few years the fields of infinite dimensional analysis and quantum probability have undergone increasingly significant developments and have found many new applications, in particular, to classical probability and to different branches of physics. The number of first-class papers in these fields has grown at the same rate. This is currently the only journal which is devoted to these fields. More What's New According to the 2002 ISI Journal Citation Reports, IDAQP is ranked 20th among 71 journals in Statistics and Probability, 19th among 29 journals in Mathematical Physics and 44th out of 156 journals in Applied Mathematics. IDAQP has published a Supplementary Issue*. Email sales@wspc.com.sg to order your print copy for only US$38 now! Editor: R Léandre Some Families of q-vector Fields on Path Spaces
Math Forum: Ask Dr. Math FAQ: Probability
Ask Dr. Math FAQ. Introduction to probability The study of probabilityhelps us figure out the likelihood of something happening.
http://mathforum.org/dr.math/faq/faq.prob.intro.html

Extractions: For a review of concepts, see Permutations and Combinations. The study of probability helps us figure out the likelihood of something happening. For instance, when you roll a pair of dice, you might ask how likely you are to roll a seven. In math, we call the "something happening" an "event." The probability of the occurrence of an event can be expressed as a fraction or a decimal from to 1. Events that are unlikely will have a probability near 0, and events that are likely to happen have probabilities near 1.* In any probability problem, it is very important to identify all the different outcomes that could occur. For instance, in the question about the dice, you must figure out all the different ways the dice could land, and all the different ways you could roll a seven. * Note that when you're dealing with an infinite number of possible events, an event that could conceivably happen might have probability zero. Consider the example of picking a random number between 1 and 10 - what is the probability that you'll pick 5.0724? It's zero, but it could happen.
INI Programme CMP
Research programme at the Isaac Newton Institute, Cambridge UK. Themes include Randomised algorithms; Phase transitions in statistical physics and computer science; Random graphs and structures. August December 2002.
http://www.newton.cam.ac.uk/programs/CMP/cmp.html

Extractions: Background 29 Jul - 20 Dec 2002 Organisers : Professor Martin Dyer ( Leeds ), Professor Mark Jerrum ( Edinburgh ), Dr Peter Winkler ( Bell Labs Programme theme As Computer Science has matured as a discipline, its relationships with mathematics have become both more wide ranging and more profound. The programme will explore two particularly fruitful interfaces between computer science and mathematics, namely those with combinatorics and probability theory. Although no interdisciplinary work within the broad area delineated by the title will be excluded, the following themes will receive special emphasis. Randomised algorithms. The design and analysis of algorithms that make random choices; also deterministic algorithms when run on random instances.The theoretical basis here includes the study of parameters connected with random walks on graphs and the relationships between them. "Phase transitions" in statistical physics and computer science.
Probability Theory - The Laymans Guide To Probability - Http://www.probabilityth
The Laymans Guide to probability, An indepth but easily readable guide on probabilitytheory, covering various aspects of theory with a bias to gambling games
http://www.peterwebb.co.uk/probability.htm

Extractions: THE LAYMANS GUIDE TO :- PROBABILITY THEORY http://www.probabilitytheory.info A paper by Peter Webb who was www.justbornlucky.com An in-depth but easily readable guide on probability theory, covering various aspects of the theory with a bias to ga mbling games and strategies. Includes working examples in an excel spreadsheet. Table of contents :- Introduction Converse probabilities The birthday problem Periodic events ... Bookmakers If you have found this web site helpful, please help me maintain and keep it current by making a small donation. Related material Combinations generator program (Please read the Combinations section in this document) Excel spreadsheet of most of the calculations used in this page Related links The truth behind staking systems It's a small world! - Why the person standing next to you knows somebody you know! Introduction Before the theory of probability was formed Gambling was popular. Gamblers were crafty enough to figure simple laws of probability by w itnessing the events at first hand. The opportunity was limitless in then exploiting the often complex and sometimes seemingly contradictory
Math Forum - Ask Dr. Math Archives: Middle School Probability
Browse Middle School probability Stars indicate particularly interestinganswers or good places to begin browsing. Odds Slang for probability?
http://mathforum.org/library/drmath/sets/mid_probability.html
Progic 2002: Combining Probability And Logic
4th Augustus de Morgan Workshop. King's College London, UK; 46 November 2002.
http://www.kcl.ac.uk/ip/jonwilliamson/progic/

Extractions: If so, how? Bayesianism tells us we ought to reason probabilistically. In that sense, probability theory is logic. How then does probability theory relate to classical logic and the various non-classical logics that also stake a claim on normative reasoning? Is probability theory to be preferred over other logics or vice versa? Is probability theory to be used in some situations, and the other logics in other situations? Or should probability be combined with other logics? These questions were important in the time of Augustus de Morgan. Indeed de Morgan himself argued that Aristotelian logic was unnecessarily restrictive in scope, and with his contemporary George Boole he began to broaden its horizons, initiating a rennaissance in logic. The title of his most important book bears witness to his vision of a comprehensive logic encompassing probability: "Formal Logic; or the calculus of Inference, Necessary, and Probable". While the above questions are not new, we now urgently require some answers. Artificial intelligence is one key discipline in which probability theory competes with other logics for application. It is becoming vitally important to evaluate and integrate systems that are based on very different approaches to reasoning, and there is strong demand for theoretical understanding of the relationships between these approaches.
ThinkQuest : Library : Probability Central
D/L Learning Section. probability Calculator. probability Calculator. DownloadLearning Section probability Calculator PowerPoint Animation.
http://library.thinkquest.org/11506/

Extractions: Index Math The probability of finding useful information at this site is 100 percent! Probability Central contains a simple five-part introduction to basic probability theory with a review quiz. Topics covered include probability properties, models, and rules. A poker game illustrates the laws of probability in a real-life situation, the probability calculator gives the likelihood of two different events both happening or either happening at the same time, and there are also links to related sites. Languages: English. Visit Site 1997 ThinkQuest Internet Challenge Languages English Students Poya Winston Churchill High School, Potomac, MD, United States Payam Winston Churchill High School, Potomac, MD, United States Leszek Winston Churchill High School, Potomac, MD, United States Coaches John Winston Churchill High School, Potomac, MD, United States Nicola Winston Churchill High School, Potomac, MD, United States Nicola Winston Churchill High School, Potomac, MD, United States Want to build a ThinkQuest site?
Probabilistic Causation
Probabilistic Causation designates a group of philosophical theories that aim to characterize the relationship between cause and effect using the tools of probability theory. A primary motivation for the development of such theories is the desire for a theory of causation that does not presuppose physical determinism.
http://plato.stanford.edu/entries/causation-probabilistic/

Extractions: SEP ceteris paribus clause more precise. This article traces these developments, as well as recent, related developments in causal modeling. Issues within, and objections to, probabilistic theories of causation will also be discussed. an object, followed by another, and where all the objects similar to the first, are followed by objects similar to the second Suggested Readings: Hume (1748), especially section VII. The first difficulty is that most causes are not invariably followed by their effects. For example, it is widely accepted that smoking is a cause of lung cancer, but it is also recognized that not all smokers develop lung cancer. (Likewise, not all non-smokers are spared the ravages of that disease.) By contrast, the central idea behind probabilistic theories of causation is that causes raise the probability of their effects; an effect may still occur in the absence of a cause or fail to occur in its presence. Thus smoking is a cause of lung cancer, not because all smokers develop lung cancer, but because smokers are
The Annals Of Applied Probability
The Annals of Applied probability. An Official Journal of the Instituteof Mathematical Statistics. Editors. J. Michael Steele, 1991
http://www.maths.lth.se/annappr/
Bridge Probabilities, Combinatorics And Probability Analysis For Bridge Hands
Features combinatorics and probability analysis for bridge hands.
http://www.geocities.com/durangobill/Bridge.html

Extractions: (Includes how to calculate the results and computer source code) The following sections cover several aspects of Bridge probabilities and combinatorics. Each section has a link that gives the statistical results and another link that shows how the results are calculated. The "How to" sections give both a generalized description of the calculations and algorithm as well as the "C" source code. Bidding Combinatorics: Statistics "How to" calculations There are 1.28746 E+47 (Scientific notation for 128+ billion billion billion billion billion (American billion = 1,000,000,000)) different ways to bid after the cards have been dealt. Most of these sequences are nonsensical, but they are legal, hence they must be counted. This is about 2.4 billion billion times larger than the number of ways that four hands can be dealt from a deck of cards. (Total number of possible deals = FACT(52) / ((FACT(13)^4) = 5.36447 E+28) (Note: The order of the cards in a bridge hand is not relevant.) Bidding combinatorics for a hand is divided into 3 parts. Part one is just to 3 "Passes" before someone mentions a quantity (1 - 7) and a suit (or No Trump). Part 2 contains all quantity and suit bids (We will count suit bids for the stats output) through the last "quantity-suit" bid. This will include all possible intervening bids of "pass", "double", and "redouble". Part 3 comes after the last "quantity-suit" bid, and the only words allowed are "pass", "double", and "redouble".
Annals Of Probability
Guidelines for Referees. Copyright, Page Charges and Author Offprints. Subscriptions,Back Issues and Reprints. Other IMS Journals. Annals of probability.
http://www.imstat.org/aop/

Extractions: Editorial Board Editorial Policy Contacts January 2004 - 1A ... Other IMS Journals 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. Steven Lalley Andrew Barbour Wenbo Li Richard Bass Russell Lyons ... Jeffrey Steif Frank den Hollander Balint Toth Kurt Johansson Ofer Zeitouni Wilfrid Kendall ... Joel Zinn Judy Lalley Michael Phelan Patrick Kelly web site contact: imswebmaster@imstat.org
Mathinfo2000
Aims to bring together researchers in theoretical computer science and mathematics. Topics include trees, stochastic processes, large deviations, branching processes, random walks, discrete probability, enumerative and analytical combinatorics, analysis of algorithms, performance evaluation, and combinatorial optimization. Versailles, France, September 1820, 2000.
http://www.prism.uvsq.fr/complex/confs/mathinfo2000/index-anglais.html
Index Of /People/opperm
Statistical physics, information theory and applied probability and applications to machien learning and complex systems.
http://www.ncrg.aston.ac.uk/People/opperm/
ESAIM: Probability And Statistics
Journal home page. probability and statistics (read more about ESAIM).Editorsin-Chief Anestis Antoniadis and Patrick Cattiaux. Published
http://www.edpsciences.org/journal/index.cfm?edpsname=ps
Växjö University:
Vaxjo University, Sweden; 27 November 1 December 2000.
http://www.msi.vxu.se/aktuellt/konferens/foundations.html
PR Probability
probability section of the mathematics eprint arXiv
http://front.math.ucdavis.edu/math.PR

Extractions: Authors: All AB CDE FGH ... U-Z 4 Jun math.DS/0406059 On a class of one-sided Markov shifts. Ben-Zion Rubshtein DS PR 3 Jun math-ph/0406001 Fluctuations of the one-dimensional polynuclear growth model with external sources. T. Imamura , T. Sasamoto . 43 pages. MP PR 1 Jun quant-ph/0307217 The chaotic chameleon. Richard D. Gill . 7 pages. ( PR 1 Jun quant-ph/0307188 On an Argument of David Deutsch. Richard D. Gill PR 1 Jun quant-ph/0304013 A geometric proof of the Kochen-Specker no-go theorem. Richard D.

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