41. Probability And Statistics Java Demos for probability and Statistics. These demos require a Javaenabled browser. Introduction to probability Models Hypergeometric Distribution http://www.math.csusb.edu/faculty/stanton/m262/index.html

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.

42. Home Page The Applied probability Trust is a nonprofit-making foundation for study and research in the mathematical sciences. The Trust was founded in 1964, http://www.appliedprobability.org/

A PPLIED PROBABILITY TRUS T The Applied Probability Trust is a non-profit-making foundation for study and research in the mathematical sciences. The Trust was founded in 1964, with the assistance of the London Mathematical Society , in order to publish the Journal of Applied Probability. The Trust now publishes a number of periodicals; these are the international journals Journal of Applied Probability Advances in Applied Probability both edited by Professor C. C. Heyde and Professor S. Asmussen, The Mathematical Scientist edited by J. Gani, and the student mathematical magazine Mathematical Spectrum which is edited by Dr D. W. Sharpe. The APT also publishes occasional special volumes on topics in applied probability, the latest being Stochastic Methods and Their Applications (J. Appl. Prob. Spec. Vol. ), a Festschrift for Chris Heyde. The APT has four Trustees: Professor D.J. Daley (Australian National University), Professor J. Gani FAA (Australian National University), Professor C.C. Heyde FAA (Australian National University and Columbia University) and Professor S. Asmussen (University of Aarhus).

43. Susan Holmes- Stanford University Contains class notes and applets for teaching an introductory probability class to engineers. http://www-stat.stanford.edu/~susan/surprise/

Statistics Department VIGRE Probabilty by Surprise Experimenting Paradoxes - Applets The Birthday Problem Applet Say Red Applet The Collector Applet Banach's Matchbox Problem Applet ... Traffic jams Visualizing Probabilities - Applets Building a Probability Tree Two-dimensional densities with Conditional Probabilities Beware, the current versions are very sensitive to which browsers you use, see the instructions. The Class Notes This contains all the class notes for the Introduction to Probability class currently taught at Stanford using these, and other web-resources. Acknowledgements This work was made possible by a grant from NSF-DUE and the support of Cornell University and the statistics department at Stanford. Collaborators who have written applets include Brigitte Charnomordic, Marc Coram, Susan Holmes, Balasubramanuan Narasimhan, Hua Tang, Ying Taur, Jing Zhi, Jeff Zhu. Consultants who have helped in other ways include Bob Connelly, Persi Diaconis, Marc Huber and Barbara Tversky. Chosen as a Selected Web Resource by the National Council of Teachers of Mathematics Illuminations Project.

44. PROBABILITY THEORY -- THE LOGIC OF SCIENCE Models 318 Correction for Correlations 320 Simplification 325 COMMENTS 326 A Look Ahead 328 Chapter 4 ELEMENTARY HYPOTHESIS TESTING Prior Probabilities 401 http://omega.albany.edu:8008/JaynesBook.html

PROBABILITY THEORY: THE LOGIC OF SCIENCE by E. T. Jaynes Wayman Crow Professor of Physics Washington University St. Louis, MO 63130, U.S.A. Dedicated to the Memory of Sir Harold Jeffreys, who saw the truth and preserved it. Fragmentary Edition of June 1994 First three chapters in DJVU Short Contents PREFACE COMMENTS General comments (BY OTHERS, NOT E.T. Jaynes') about the book and maxent in general. PART A - PRINCIPLES AND ELEMENTARY APPLICATIONS Chapter 1 Plausible Reasoning Chapter 2 Quantitative Rules: The Cox Theorems Fig. 2-1 Chapter 3 Elementary Sampling Theory ... Chapter 18 The A Distribution and Rule of Succession PART B ADVANCED APPLICATIONS Chapter 19 Physical Measurements Chapter 20 Regression and Linear Models Chapter 21 Estimation with Cauchy and tDistributions Chapter 22 Time Series Analysis and Autoregressive Models ... Chapter 30 Conclusions APPENDICES Appendix A Other Approaches to Probability Theory Appendix B Formalities and Mathematical Style Appendix C Convolutions and Cumulants Appendix D Dirichlet Integrals and Generating Functions Appendix E The Binomial Gaussian Hierarchy of Distributions Appendix F Fourier Analysis Appendix G Infinite Series Appendix H Matrix Analysis and Computation Appendix I Computer Programs REFERENCES List of references To transfer all the chapters (Adobe's pdf format) at once from bayes.wustl.edu

45. Statistics Probability Letters - Elsevier STATISTICS probability LETTERS adopts a novel and highly innovative approach to the publication of research findings in statistics and probability. http://www.elsevier.com/locate/stapro

Home Site map Elsevier websites Alerts ... Products Journal information Product description Editorial board Audience Abstracting/indexing ... Special issues and supplements 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 Editors: S. Datta, H. Koul See editorial board for all editors information ANNOUNCEMENT All new submissions to 'Statistics and Probability Letters' should take place online using the Elsevier Editorial System (EES): http://ees.elsevier.com/stapro For queries regarding papers submitted before July 1st 2007, please contact the former Editor in Chief, Prof. Richard Johnson: rich@stat.wisc.edu Feedback l.franco@elsevier.com ; Dr Keith Jones, Publisher, e-mail: K.Jones@elsevier.com Welcome to our new Associate Editors - please click here to read the full announcement Description The mainstream of LETTERS will focus on new statistical methods, theoretical results, and innovative applications of statistics and probability to other scientific disciplines, especially biostatistics and bioinformatics. Key results and central ideas must be presented in a clear and concise manner. These results may be part of a larger study that the author will submit at a later time as a full length paper to SPL or to another journal. Theory and methodology may be published with proofs omitted, or only sketched, but only if sufficient support material is provided so that the findings can be verified. Empirical and computational results that are of significant value will be published. We also plan to publish applications and case studies that demonstrate a novel use of existing techniques or have interesting innovative ideas about data collection, modelling or inference.

46. Cambridge Journals Online - Combinatorics, Probability And Computing Published bimonthly, Combinatorics, probability Computing is devoted to the three areas of combinatorics, probability theory and theoretical computer http://journals.cambridge.org/jid_CPC

Skip to navigation Skip to content Contact Us Site map ... Basket Quick search: Advanced search CrossRef search Cite search: Journals All Journals Acta Numerica AI EDAM AJS Review American Journal of Alternative Agriculture American Political Science Review Ancient Mesoamerica Anglo-Saxon England animal Animal Health Research Reviews Animal Science Annual Review of Applied Linguistics Antarctic Science The ANZIAM Journal Applied Psycholinguistics Arabic Sciences and Philosophy Archaeological Dialogues arq: Architectural Research Quarterly Austrian History Yearbook Behavioral and Brain Sciences Behavioural and Cognitive Psychotherapy Bilingualism: Language and Cognition Biofilms BioSocieties Bird Conservation International Breast Cancer Online British Journal of Anaesthetic and Recovery Nursing The British Journal for the History of Science British Journal of Music Education British Journal of Nutrition British Journal of Political Science Bulletin of the Australian Mathematical Society Bulletin of Entomological Research Bulletin of the School of Oriental and African Studies Cambridge Archaeological Journal The Cambridge Law Journal Cambridge Opera Journal Cambridge Quarterly of Healthcare Ethics Camden Fifth Series Canadian Journal of Political Science/Revue canadienne de science politique Cardiology in the Young Central European History The China Quarterly Chinese Journal of Agricultural Biotechnology Church History: Studies in Christianity and Culture The Classical Quarterly The Classical Review The Cognitive Behaviour Therapist Combinatorics, Probability and Computing

47. Department Of Probability And Statistics The Department of probability and Statistics is part of the School of Mathematics and Statistics, which includes two other Departments Applied Mathematics http://www.shef.ac.uk/pas/

@import url(/sheffield/road/Classic/article/0/shared/css/general.css?v=2); @import url(/sheffield/road/Classic/article/0/shared/css/blue.css?v=2); Home Contact Log into MUSE Search for Department of Probability and Statistics Study at Sheffield For Current Students For Staff Our Research ... Useful Links You are here: Home Departments Probability and Statistics Probability and Statistics Home Prospective Undergraduates Taught Postgraduate Courses Postgraduate Research International Students ... Contact Us Welcome to Probability and Statistics The Department of Probability and Statistics is part of the School of Mathematics and Statistics, which includes two other Departments: Applied Mathematics and Pure Mathematics. We are all located in the Hicks Building, which is near to the centre of the University. The Department has an extensive and very active programme of teaching and research. News Subjective Bayesian Methods conference Sites School of Mathematics and Statistics Department of Applied Mathematics Department of Pure Mathematics Quick Links Seminar Programme Useful Links Research Clusters Bayesian Statistics Probability See also Statistical Services Unit Applied Probability Trust Royal Statistical Society Committee of Professors of Statistics ... Accessibility

48. Applied Probability Society Of INFORMS A subdivision of the Institute for Operations Research and the Management Sciences (INFORMS) concerned with the application of probability theory to systems http://appliedprob.society.informs.org/

This is the home page of Applied Probability Society of INFORMS. You need to use a browser which supports frames.

49. Probability Distributions A Compendium of Common probability Distrbutions. Common probability Distributions. This Compendium describes distributions appropriate for the modeling http://www.geocities.com/~mikemclaughlin/math_stat/Dists/Compendium.html

Common Probability Distributions This Compendium describes distributions appropriate for the modeling of random data. Although similar summaries may be found in textbooks, this reference exhibits some unusual features, viz., The number of distributions (56) is large, including Continuous distributions (30) Symmetric (11) Skewed (19) Continuous binary mixtures (17) Discrete distributions (5) Discrete binary mixtures (4) All formulas are shown in their fully-parametrized form, not the standard form. Many of the formulas given are seldom described. Random variate generation is included where feasible. Each (two-page) entry is readily printable in full 600-dpi resolution (see below), and/or The entire file (549K, pdf) may be downloaded and printed to give a complete reference book [but please Data Modeling Regress+ The latter is a software tool for mathematical modeling and, hence, this Compendium shares the same focus. All of the distributions described here may be used with Regress+ to model empirical data.

50. Abstract Probability If you look back over the tutorials for estimated probability and empirical probability, you will notice the following common properties. http://people.hofstra.edu/Stefan_Waner/RealWorld/tutorialsf2/frames6_4.html

51. MathPages: Probability And Statistics The Complex Domain of probability Infinite Parallel Redundancy N Points On Sphere Fall In One Hemisphere Bernoulli Trials http://www.mathpages.com/home/iprobabi.htm

Probability and Statistics Evaluating Probabilities of Boolean Events The Gambler's Ruin Area Under the Bell Curve Poisson Processes and Queues ... Math Pages Main Menu

52. Probability Of Breast Cancer In American Women - National Cancer Institute A fact sheet that provides information and statistics about a woman s chance of developing breast cancer by specific ages. National Cancer Institute Fact http://www.cancer.gov/cancertopics/factsheet/Detection/probability-breast-cancer

var bSearchBoxBool=false; Search Reviewed: Page Options Print This Page E-Mail This Document View/Print PDF Search Fact Sheets by Keyword View Fact Sheets by Topic Cancer Type Risk Factors and Possible Causes Prevention Detection/Diagnosis ... Questions about cancer? 1-800-4-CANCER Quick Links Director's Corner Dictionary of Cancer Terms NCI Drug Dictionary Funding Opportunities ... NIH Calendar of Events Probability of Breast Cancer in American Women Key Points The National Cancer Institute , a component of the National Institutes of Health , estimates that, based on current rates, 12.7 percent of women born today will be diagnosed with breast cancer at some time in their lives. Because rates of breast cancer increase with age, estimates of risk at specific ages are more meaningful than estimates of lifetime risk. An estimated risk represents the average risk for all women in the United States as a group. This estimate does not indicate the risk for an individual woman because of individual differences in age, family history , reproductive history, race/ethnicity, and other factors. Estimated lifetime risk of breast cancer has gone up gradually over the past several decades. This year it declined slightly.

53. SurfStat.australia We say the probability of getting a head at any one toss is 1/2. probability of an outcome or event can be determined either empirically (based on data) http://www.anu.edu.au/nceph/surfstat/surfstat-home/3-1-1.html

Surfstat. australia : an online text in introductory Statistics VARIATION AND PROBABILITY INTRODUCTION A coin comes down heads 50% of the time, on average. After many tosses, the number of heads (#heads) is approximately equal to the number of tails. A concept of Probability We say the probability of getting a head at any one toss is 1/2. This illustrates the concept of probability that will be used in this course. Example - 10 000 coin tosses John Kerrich, a South African mathematician, was visiting Copenhagen when World War II broke out. Two days before he was scheduled to fly to England, the Germans invaded Denmark. Kerrich spent the rest of the war interned at a camp in Jutland and to pass the time he carried out a series of experiments in probability theory. In one, he tossed a coin 10,000 times. His results are shown in the following graph. (The horizontal axis is on a log scale) The tossing of a coin 10 times is an example of a random experiment. Most experiments are subject to Random Variation . Probability theory is the mathematical approach to quantifying uncertainty or variation. Example - 2 coin tosses Toss a coin twice and record for each toss whether the result was a head (H) or a tail (T). Exercise: List the

54. BrainPOP - Animated Educational Site For Kids - Science, Social Studies, English Basic probability You may think that chance is just a roll of the dice, but um. Learn how to calculate and express basic probability with Tim. http://www.brainpop.com/math/dataanalysisandprobability/basicprobability/

show_flash("http://brainpop.speedera.net/www.brainpop.com/common_images/math/topics/zoom.swf",18,80,"zoom.weml"); About BrainPOP BrainPOP en Espa±ol BrainPOP Jr. - K-3 Movies, Homework Help, Games for Kids See a full list of Movies ... Join our Affiliate Program Can't see our movies? Download the Flash Plug-in here. Still need help? Click here. BrainPOP offers educational animated movies for kids. This Internet site provides information of a general nature and is designed for educational purposes only. Please carefully review our User Agreement and our before using this site. Your use of the site indicates your agreement to be bound by our User Agreement Find us on Google Find us on Yahoo! Find us on MSN Basic Probability - You may think that chance is just a roll of the dice, but... um... Actually chance IS just a roll of the dice. Learn how to calculate and express basic probability with Tim

55. Math Probability/Chance Math Lesson Plan, Thematic Unit, Activity, Worksheet, Or OVERVIEW The theory of probability is an important branch of mathematics with many practical applications in the physical, medical, biological and social http://www.lessonplanspage.com/MathProbabilityChance.htm

Join Newsletter Search This Site! Math Probability/Chance About Lesson Plans Forums Contribute ... Advertising Lesson Plans Math Language Arts Science Social Studies Art Music Other Multi-Disciplinary HotChalk Tools Inspired Teachers Science Projects Math Worksheets ... Tell A Friend! Special Features Efficient Reading Fun Science Ideas Master's in Education New Reading Activities ... About HotChalk HotChalk Sites HotChalk.com EdScope, L.L.C. EduBanners.com Learn PC Hardware Vote For Us @ SitesForTeachers @ Teach-nology Resource Sites Education Master's Teacher Magazines Teaching Jobs Site Information About This Site How To Use Contact Info. Advertising Info. ... Free Gradebook, Curriculum Management, and Professional Development! Printable Version for your convenience! Math TITLE: PROBABILITY: The Study of Chance by Tina OVERVIEW: The theory of probability is an important branch of mathematics with many practical applications in the physical, medical, biological and social sciences. An understanding of this theory is essential to understand weather reports, medical findings, political doings and the state lotteries. Students have many misconceptions about probability situations. PURPOSE: The purpose of this activity, is to begin the process of helping students to learn the basic principles of probability.

56. NIST - Atomic Transition Probability Bibliographic Database This database contains references to publications that include numerical data, comments, and reviews on atomic transition probabilities (oscillator http://physics.nist.gov/cgi-bin/ASBib1/TransProbBib.cgi

Version History J.R. Fuhr, A.E. Kramida, H.R. Felrice, K. Olsen, and S. Kotochigova National Institute of Standards and Technology, Physics Laboratory, Atomic Physics Division NIST, Physics Laboratory, Electron and Optical Physics Division NIST, Physics Laboratory, Office of Electronic Commerce in Scientific and Engineering Data Welcome to NIST's bibliographic database on atomic transition probabilities, Version 8.1. The database currently contains 7587 references, dating from 1914 through 2008 and is updated regularly. This database contains references to publications that include numerical data, comments, and reviews on atomic transition probabilities (oscillator strengths, line strengths, or radiative lifetimes), and is part of the collection of the NIST Atomic Spectroscopy Data Center . This Data Center also maintains another two bibliographic databases: NIST Atomic Spectral Line Broadening Bibliographic Database and NIST Atomic Energy Levels and Spectra Bibliographic Database References to publications containing critically compiled data can be found in a separate database of NIST compilations of atomic spectroscopy data For help or more information, contact

57. SIAM: Theory Of Probability And Its Applications (TPA) Theory of probability and Its Applications is a translation of the Russian journal Teoriya Veroyatnostei i ee Primeneniya, which contains papers on the http://www.siam.org/journals/tvp.php

JOURNALS Theory of Probability and Its Applications (TVP) Yu. V. Prokhorov Editor-in-Chief Quarterly Theory of Probability and Its Applications is a translation of the Russian journal Teoriya Veroyatnostei i ee Primeneniya, which contains papers on the theory and application of probability, statistics, and stochastic processes. View this journal online [Login required to view full articles] Editorial Board Editorial Policy site map privacy policy ... webmaster@siam.org Banner art adapted from a figure by Hinke M. Osinga and Bernd Krauskopf (University of Bristol, UK). SIAM Home About SIAM Activity Groups Advertising ... Visiting Lecturer In This Section Journals SIAM Journals Online Recently Posted Articles Problems and Solutions ... Electronic Submissions Also See TOC Alert Contact Us Site Map Join SIAM ... My Account Search this site: Search book catalog: Search journals: Search news:

58. Probability Theory As Extended Logic A monumental online book by the late ET Jaynes on Bayesian inference. Also has a number of related articles by other authors. http://bayes.wustl.edu/

Probability Theory As Extended Logic 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 and from Amazon in the UK. We 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. Additionally, a copy of his

59. Sales Training & Selling Techniques Of High Probability® Selling Sales Training that turns the Numbers Game UpsideDown. Learn the sales process used by the Best in the Business. http://www.highprobsell.com/

var MenuLinkedBy='AllWebMenus [4]', awmBN='626'; awmAltUrl=''; Home Contact Us Join Our Sales Forum High Probability Selling Provides the Tools, the Process and the Coaching to Help You Develop the Mindset and Performance of Top-Producing Salespeople High Probability, Inc. is a leading sales process development firm. We have a 20-year track record of researching, designing and improving sales processes. The typical result of our work, regardless of the complexity of products, services or sales cycles, is a simple linear sales process that significantly improves closing rates. Different Tools High Probability Selling tools enable a salesperson to focus their time and energy on determining whether there is a mutually acceptable basis for doing business with a prospect. From finding the prospects that are the most likely to buy, to determining all the prospect's requirements to do business, these tools are designed to maximize productivity. Tools that, when properly implemented, yield very high closing rates without pressure or persuasion. A Structured Process The High Probability Selling Process is based upon our research of top sales performers. We provide the structured linear sales process in which the tools used by top producers are utilized; a sales process that leads to sales success. Tools that work in a compatible process consistently produce results. A process that is adaptable and proven in simple transactions as well as complex sales situations.

60. 1.3.6. Probability Distributions probability Distributions, probability distributions are a fundamental concept in statistics. They are used both on a theoretical level and a practical http://www.itl.nist.gov/div898/handbook/eda/section3/eda36.htm

Exploratory Data Analysis EDA Techniques Probability Distributions Probability Distributions Probability distributions are a fundamental concept in statistics. They are used both on a theoretical level and a practical level. Some practical uses of probability distributions are: To calculate confidence intervals for parameters and to calculate critical regions for hypothesis tests. For univariate data, it is often useful to determine a reasonable distributional model for the data. Statistical intervals and hypothesis tests are often based on specific distributional assumptions. Before computing an interval or test based on a distributional assumption, we need to verify that the assumption is justified for the given data set. In this case, the distribution does not need to be the best-fitting distribution for the data, but an adequate enough model so that the statistical technique yields valid conclusions. Simulation studies with random numbers generated from using a specific probability distribution are often needed. Table of Contents What is a probability distribution?

Page 3     41-60 of 80    Back | 1  | 2  | 3  | 4  | Next 20