101. RANDOM STRUCTURES Two linked workshops within the Computation, Combinatorics and probability programme at the Isaac Newton Institute, Cambridge, UK. Part I Combinatorial and Computational Aspects of Statistical Physics; 2630 August 2002. Part II Random Graphs and Structures; 26 September 2002. http://www.newton.cam.ac.uk/programmes/CMP/cmpw02.html

Isaac Newton Institute for Mathematical Sciences, Cambridge, UK RANDOM STRUCTURES comprising the linked workshops 26 - 30 AUGUST 2002 2 - 6 SEPTEMBER 2002 in association with the Newton Institute programme entitled Computation, Combinatorics and Probability (29 July to 20 December 2002) Programme Abstracts Participants Organisers Memphis ), Martin Dyer ( Leeds ), Mark Jerrum ( Edinburgh ), Alan Sokal ( New York ) and Peter Winkler ( Bell Labs Theme of Workshop The heading "random structures" is intended to cover both the finite (random graphs, partial orders, etc.) and infinite (configurations of some physical model on an infinite lattice). Our aim is to bring together combinatorialists, probabilists, physicists and theoretical computer scientists to engage in an interdisciplinary meeting that will study random structures from various directions. Structure There will be two linked workshops: Combinatorial and computational aspects of statistical physics and Random graphs and structures . The overarching theme that unites these two is that of phase transition, broadly interpreted. A rough distinction between the two workshops might be that the first deals with phase transitions in infinite systems (e.g., the Ising model on the 2-dimensional square lattice), and the second with "phase transitions" in finite structure (e.g., random graphs or random partial orders). However, this distinction is certainly not intended to be a hard-and-fast. Computational questions - such as the extent to which phase transitions may coincide with the boundary between tractable and intractable - will certainly be addressed.

102. Statistics Glossary - Random Variables And Probability Distributions statistical glossary random variables and probability distributions. http://www.stats.gla.ac.uk/steps/glossary/probability_distributions.html

Random variables and probability distributions Random Variable Expected Value Variance Probability Distribution ... Index of all entries Random Variable The outcome of an experiment need not be a number, for example, the outcome when a coin is tossed can be 'heads' or 'tails'. However, we often want to represent outcomes as numbers. A random variable is a function that associates a unique numerical value with every outcome of an experiment. The value of the random variable will vary from trial to trial as the experiment is repeated. There are two types of random variable - discrete and continuous A random variable has either an associated probability distribution (discrete random variable) or probability density function (continuous random variable). Examples A coin is tossed ten times. The random variable X is the number of tails that are noted. X can only take the values 0, 1, ..., 10, so X is a discrete random variable. A light bulb is burned until it burns out. The random variable Y is its lifetime in hours. Y can take any positive real value, so Y is a continuous random variable. Expected Value The expected value (or population mean) of a random variable indicates its average or central value. It is a useful summary value (a number) of the variable's distribution.

103. The Two-Envelope Paradox A Complete Analysis? Describes aspects of a critical problem and apparent paradox in probability theory. http://jamaica.u.arizona.edu/~chalmers/papers/envelope.html

104. Probability Theory - The Laymans Guide To Probability - Http://www.probabilityth The Laymans Guide to probability, An indepth but easily readable guide on probability theory, covering various aspects of theory with a bias to gambling http://www.peterwebb.co.uk/probability.htm

THE LAYMANS GUIDE TO :- PROBABILITY THEORY 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. This site has moved to a dedicated server on http://www.probabilitytheory.info new material had been added. 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 Excel spreadsheet of most of the calculations used in this page Related links The truth behind staking systems The Wizard of odds - A great page by an author who I have much respect for 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

105. Stuart Russell Many aspects of probabilistic modelling, identity uncertainty, expressive probability models. http://www.cs.berkeley.edu/~russell/

Stuart Russell Professor Computer Science Division Soda Hall University of California Berkeley, CA 94720-1776 russell at cs.berkeley.edu Information for prospective MS and PhD students Research group (Russell's Unusual Group of Students) The Center for Intelligent Systems at Berkeley The Institute for Cognitive and Brain Sciences at Berkeley Meeting schedule and office hours Research areas , including publications by area Publications in chronological order Teaching (Fall 2005) CS 188: Intro to AI CS 294-10: Transfer Learning CV Biography Other useful pointers: British Scientists Abroad Artificial Intelligence: A Modern Approach Rationality and Intelligence , slides ( colour 35mm or black-and-white ) from the IJCAI 95 Computers and Thought lecture. See also slides from NIPS 97 invited talk on Learning in Rational Agents

106. Low Probability Of Racoons (Peter Howard's Poetry) Poetry, illustrated poetry for children, javascript poetry generators, and links to other sites. http://www.hphoward.demon.co.uk/poetry/

Welcome to Peter Howard's site of poems and poetry resources. "Peter Howard's site Low Probability of Racoons is a must-have for any poet's bookmark list and a treat for anyone." Poems A selection of my poems, some with RealAudio Projects Poetry-related projects, including poetry events in Cambridge. Hypertext Hypertext poems, javascript poetry generators, animated poems. KidsTuff Poetry for children, with illustrations by Andrea McKenzie. Links My famous links to the best poetry sites on the World Wide Web. Net Verse A column I wrote on Internet poetry between 1996 and 2000 The Poet About me, my work, and my poetry publications. FAQ Answers to some frequently asked questions Search Search the site Game Theory My new pamphlet of poems Reviews Reviews by Peter Howard Contact Peter

107. Probability And Geometry The activity and two discussions of this lesson connect probability and geometry. The Angles and Expected Value Discussion from geometry to probability http://www.shodor.org/interactivate/lessons/pm3.html

Probability and Geometry Abstract The activity and two discussions of this lesson connect probability and geometry. The Polyhedra discussion leads to platonic solids, and the Probability and Geometry discussion leads to connections between angles, areas and probability. The subtle difference between defining probability by counting outcomes and defining probability by measuring proportions of geometrical characteristics is brought to light. Objectives Upon completion of this lesson, students will: have practiced calculating probability have seen how geometry can help solve probability problems have learned about platonic solids Standards The activities and discussions in this lesson address the following NCTM standards Data Analysis and Probability Understand and apply basic concepts of probability understand and use appropriate terminology to describe complementary and mutually exclusive events use proportionality and a basic understanding of probability to make and test conjectures about the results of experiments and simulations compute probabilities for simple compound events, using such methods as organized lists, tree diagrams, and area models

108. Statistical Inference On The TI-83/86/89 Contains problems and solutions on general topics of probability distributions, confidence intervals, hypothesis testing, analysis of variance, and correlation analysis. Detailed survey sampling projects are also included. http://www.wku.edu/~david.neal/statistics/

Statistical Inference on the TI-83+/86/89 This site contains typical problems and solutions on the general statistics topics of probability distributions, confidence intervals, hypothesis testing, analysis of variance, and correlation analysis. Detailed survey sampling projects are also included. The materials here are designed to supplement a general descriptive statistics course. Throughout, the problems are worked with programs suited for the TI-83+, TI-86, and TI-89 calculators. By using the calculator programs to work the problems, virtually all of the formula memorization, hand calculation, and textbook charts are taken out of the course. Thus, students can concentrate on understanding the results, drawing conclusions, and learning when and how to apply the proper procedure and program to solve a problem. These materials were developed by David K. Neal , Department of Mathematics, Western Kentucky University, Bowling Green, KY 42101 USA: david.neal@wku.edu Download Instructions Setting Up the TI-86 Setting Up the TI-89 ... Basic Statistics (No programs required) Program Topics Discrete Distributions The Binomial Random Variable The Poisson Random Variable The Geometric Random Variable The Negative Binomial Random Variable ... Combined Discrete Distribution Program Continuous Distributions The Normal Distributions The t-Distributions The Chi-Square Distributions The F-Distributions ... Combined Continuous Distribution Programs Confidence Intervals Confidence Interval for Mean of an Arbitrary Population Confidence Interval for Mean of a Normally Distributed Population Confidence Interval for a Proportion Confidence Interval for the Difference of Means Between Two Independent Arbitrary Populations ... Confidence Interval for Ratio of Variances of Independent Normal Populations Hypothesis Tests

109. Sales Training & Selling Techniques Of High Probability® Selling Sales training, seminars, workshops, consulting, and selling techniques. Learn to coldcall without anxiety, sell without pain, enjoy selling again while http://www.highprobsell.com/

Join "The Sales Forum" Read the first 4 chapters FREE! Buy the Book Now! FREE Bonus Tape! "HPS Sales Tips" Join Our Newsletter! Enter your name and email address below: Enter your Name: Enter your Email: "This is the most dramatic development in selling that I've seen in my thirty years in the business." Phil D'Achille, Senior Vice President, Sales, Prudential Insurance and Financial Services Discover How High Probabililty Selling Re-invents the Selling Process Learn to Sell Without Pain or Pressure. Prospect Without Stress and Anxiety. What's the result of taking our sales workshops? Telephone Prospecting is easy, effective, and stress-free! 97% of your prospects keep their appointments. Your prospects trust you and respect you. You, your colleagues, and management work together to penetrate and win Major Accounts. You are paid handsomely for your time, effort and competence. What's the secret behind High Probability Selling Techniques? DIS-qualify prospects: Stop wasting time with people unlikely to buy from you. Stop cajoling and persuading, and start listening.

110. Probability Puzzles What is the probability that the amoeba population eventually dies out? What is the probability in n flips of a fair coin that there will be two heads http://rec-puzzles.org/probability.html

Probability amoeba A jar begins with one amoeba. Every minute, every amoeba turns into 0, 1, 2, or 3 amoebae with probability 25% for each case ( dies, does nothing, splits into 2, or splits into 3). What is the probability that the amoeba population eventually dies out? Solution apriori An urn contains one hundred white and black balls. You sample one hundred balls with replacement and they are all white. What is the probability that all the balls are white? Solution bayes One urn contains black marbles, and the other contains white or black marbles with even odds. You pick a marble from an urn; it is black; you put it back; what are the odds that you will draw a black marble on the next draw? What are the odds after n black draws? Solution birthday/line At a movie theater, the manager announces that they will give a free ticket to the first person in line whose birthday is the same as someone who has already bought a ticket. You have the option of getting in line at any time. Assuming that you don't know anyone else's birthday, that birthdays are distributed randomly throughtout the year, etc., what position in line gives you the greatest chance of being the first duplicate birthday? Solution birthday/same.day

111. Probability And Statistics College professor's applets. http://www.math.csusb.edu/faculty/stanton/m262/

These demos require a Java-enabled browser: Introduction to Probability Models Hypergeometric Distribution Poisson Distribution Normal Distribution ... Buffon's Needle Note: This applet was written by Charles Stanton. The author wishes to thank CSUSB for a Promoting Innovative Instruction Award to write these applets.

112. SpringerLink - Publication ArXiv Front PR probability Theoryprobability section of the mathematics eprint arXiv. http://link.springer-ny.com/link/service/journals/00440/

Articles Publications Publishers Home Publication Probability Theory and Related Fields Publisher: Springer-Verlag GmbH ISSN: 0178-8051 (Paper) 1432-2064 (Online) Subject: Mathematics Issues in bold contain content you are entitled to view. Online First Volume 133 Number 2 / October 2005 Number 1 / September 2005 Volume 132 Number 4 / July 2005 Number 3 / July 2005 Number 2 / June 2005 Number 1 / May 2005 Volume 131 Number 4 / April 2005 Number 3 / March 2005 Number 2 / February 2005 Number 1 / January 2005 ... Request a sample Volume 130 Number 4 / December 2004 Number 3 / November 2004 Number 2 / October 2004 Number 1 / September 2004 Volume 129 Number 4 / August 2004 Number 3 / July 2004 Number 2 / June 2004 Number 1 / May 2004 Volume 128 Number 4 / April 2004 Number 3 / March 2004 Number 2 / February 2004 Number 1 / January 2004 Volume 127 Number 4 / December 2003 Number 3 / November 2003 Number 2 / October 2003 Number 1 / September 2003 Volume 126 Number 4 / August 2003 Number 3 / June 2003 Number 2 / June 2003 Number 1 / May 2003 Volume 125 Number 4 / April 2003 Number 3 / March 2003 Number 2 / February 2003 Number 1 / January 2003 Volume 124 Number 4 / December 2002 Number 3 / November 2002 Number 2 / October 2002 Number 1 / September 2002 Jump to volumes: Most Recent 123 to 114 113 to 104 First page Previous page Next page Last page Jump to Volumes Most Recent 123 to 114 113 to 104 Linking Options About This Journal Editorial Board Manuscript Submission Quick Search

113. IMA 2003 Summer Program: Probability And Partial Differential Equations In Moder IMA 2003 Summer Program, University of Minnesota, USA; 21 July 1 August 2003. http://www.ima.umn.edu/prob-pde/

Search Contact Information Program Registration Postdoc/Membership Application Program Feedback ... Probability and Statistics in Complex Systems: Genomics, Networks, and Financial Engineering, September 1, 2003 - June 30, 2004 IMA 2003 Summer Program: Probability and Partial Differential Equations in Modern Applied Mathematics July 21-August 1, 2003 Organizers: Edward C. Waymire (chair) Mathematics Department Oregon State University waymire@math.orst.edu Jinqiao Duan Department of Applied Mathematics Illinois Institute of Technology duan@iit.edu Schedule Participants Feedback ... Photo Gallery The Navier-Stokes equations, Euler equations, Burgers equation etc. arise naturally in the context of the basic physics of fluid motions. As such these equations play a fundamental role in the science and engineering of all varieties of fluid flow, from oceanic circulation to the flow of water beneath the earth's surface. The nonlinearity of the equations makes explicit solutions possible only for the simplest of flows. The development of a more complete understanding of these equations from the laminar to the turbulent regime ranks among the most important outstanding problems of modern mathematical physics.

114. Equal Distribution Online tool can be used to analyze frequency, equiprobability, general random, and point mutations. http://bioinf.charite.de/equifreq/

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115. Math Tutor online math tutor and science tutor for school age children - Place values to probability, geometry, ratios, percentages, fractions and measurements, solar system, weather and human body http://www.infomath.com/html/online-tutor.asp

Special Partner Offers Advertisement User Status: Please Log-In User name: Password: Try US Map and States Math Tutor 1 Demo Math Tutor 3 Demo Math Tutor 5 Site License Demo Pre-Calculus Demo New User Subscription: Price: $10 / Month or $100 / Year Math Tutor 1 Math Tutor 3 Math Tutor 5 Pre-algebra Algebra Pre-Calculus Glossary and Tools Multiplication Tables, Units, Conversions, Statistics tools, Flash Cards .... ) Home Work Help Request Site License Math Tutor 1 ( Grades k - 1 ) Math Tutor 3 ( Grades 2 - 3 ) Math Tutor 5 ( Grades 4 - 6 ) Pre - Algebra ( Grade 7 ) Algebra ( Grade 8 ) Pre - Calculus ( Grades 10, 11 ) Price: 20 User License - $1,600 / Yr 30 User License - $2,400 / Yr 40 User License - $3,200 / Yr 50 User License - $4,000 / Yr Includes: Management Accounts, Teacher Accounts, Student Information

116. Elsevier.com - Statistics Probability Letters Statistics probability Letters is an international journal covering all fields of To combat this tendency, Statistics probability Letters has been http://www.elsevier.com/wps/product/cws_home/505573

Home Site map Regional Sites Advanced Product Search ... Products Journal information Product description Editorial board Audience Abstracting/indexing ... Special issues and supplements For Authors Guide for authors Subscription information Bibliographic and ordering information Conditions of sale Dispatch dates Journal related information Contact the publisher Impact factor Most downloaded articles Other journals in same subject area ... Select your view Editor: R.A. Johnson See editorial board for all editors information Feedback We are always interested in receiving suggestions on the journal. Also, if you have publication proposals for books or new journals in the field or suggestions for any other kind of cooperation, please do not hesitate to contact us. Sweitze Roffel, Senior Publishing Editor, E-mail: S.Roffel@elsevier.com New related journal: Statistical Methodology ContentsDirect is Elsevier's free e-mail alerting service which delivers content information to subscribers' desktops. Sign up to receive an alert each time an issue of Statistical Methodology becomes available.

117. IMA Thematic Year On Probability In Complex Systems: Genomics, Networks, And Fin Genomics, Networks, and Finance Engineering. Annual Program at the IMA, University of Minnesota. September 2003 June 2004. http://www.ima.umn.edu/complex/

Homepage About the IMA What's Happening Programs/Activities ... Join our Mailing Lists Search IMA Thematic Year on Probability and Statistics in Complex Systems: Genomics, Networks, and Financial Engineering September 2003 - June 2004 complex_poster.pdf complex_poster.png 2003-2004 Annual Report pdf Questions? Contact us at domain='ima.umn.edu'; document.write('staff@'); document.write('ima.umn.edu'); staff(at)ima.umn.edu Long Term Visitors Postdoctoral Fellowships Events Participants Quick Links to Events 9/15-19/03 Tutorial: Tools for Model and Data Integration in the Genome Sciences/Information Integration Technologies for Complex Systems Public Lecture: Leroy Hood After the Human Genome Project: Systems Biology and Predictive, Preventive and Personalized Medicine

118. SpringerLink - Publication www.kluweronline.com/issn/08949840 Statistics probabilityDepartment of Statistics and probability. http://www.kluweronline.com/issn/0894-9840/contents

Articles Publications Publishers Home Publication Journal of Theoretical Probability Publisher: Springer Science+Business Media B.V., Formerly Kluwer Academic Publishers B.V. ISSN: 0894-9840 (Paper) 1572-9230 (Online) Subject: Mathematics Issues in bold contain content you are entitled to view. Volume 18 Number 3 / 2005 / July 2005 Title: Number 2 / April 2005 Number 1 / January 2005 Request a sample Volume 17 Number 4 / October 2004 Number 3 / July 2004 Number 2 / April 2004 Number 1 / January 2004 Volume 16 Number 4 / October 2003 Number 3 / July 2003 Number 2 / April 2003 Number 1 / January 2003 Volume 15 Number 4 / October 2002 Number 3 / July 2002 Number 2 / April 2002 Number 1 / January 2002 Volume 14 Number 4 / October 2001 Number 3 / July 2001 Number 2 / April 2001 Number 1 / January 2001 Volume 13 Number 4 / October 2000 Number 3 / July 2000 Number 2 / April 2000 Number 1 / January 2000 Volume 12 Number 4 / October 1999 Number 3 / July 1999 Number 2 / April 1999 Number 1 / January 1999 Volume 11 Number 4 / October 1998 Number 3 / July 1998 Number 2 / April 1998 Number 1 / January 1998 Volume 10 Number 4 / October 1997 Number 3 / July 1997 Number 2 / April 1997 Number 1 / January 1997 First page Previous page Next page Last page Linking Options About This Journal Editorial Board Manuscript Submission Quick Search Search within this publication...

119. Probability Theory - The Laymans Guide To Probability - Http://www.probabilityth An indepth but easily readable guide on probability theory, covering various aspects of theory with a bias to gambling games. http://www.probabilitytheory.info/

The laymans guide to :- PROBABILITY THEORY 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 betting exchanges. Includes working examples in an excel spreadsheet. Jump to table of contents Important legal notices About gambling 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 laws of probability. In the seventeenth century Galileo wrote down some ideas about dice games. This led to discussions and p apers which formed the earlier parts of probability theory. There were and have been a variety of contributors to probability theory since then but it is still one of the least understood areas of mathematics.

120. Probability Sampling A probability sampling method is any method of sampling that utilizes some Before I can explain the various probability methods we have to define some http://www.socialresearchmethods.net/kb/sampprob.htm

Home External Validity Sampling Terminology Statistical Sampling Terms [ Probability Sampling ] Nonprobability Sampling A probability sampling method is any method of sampling that utilizes some form of random selection . In order to have a random selection method, you must set up some process or procedure that assures that the different units in your population have equal probabilities of being chosen. Humans have long practiced various forms of random selection, such as picking a name out of a hat, or choosing the short straw. These days, we tend to use computers as the mechanism for generating random numbers as the basis for random selection. Some Definitions Before I can explain the various probability methods we have to define some basic terms. These are: N = the number of cases in the sampling frame n = the number of cases in the sample N C n = the number of combinations (subsets) of n from N f = n/N = the sampling fraction That's it. With those terms defined we can begin to define the different probability sampling methods. Simple Random Sampling The simplest form of random sampling is called simple random sampling . Pretty tricky, huh? Here's the quick description of simple random sampling:

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