141. Department Of Probability And Statistics General information, members. A lot of information is passwordprotected. http://www.uniba.sk/~ktpms/

Department of Probability and Statistics People About department Courses, programs Statistical consulting Statistics in Slovakia • EYSM 2001 • Links Faculty Comenius University Slovak version Webmaster

142. Statistics Glossary - Probability probability. Contents. Outcome Sample Space. Event. Relative Frequency. probability.Subjective probability. Independent Events. Mutually Exclusive Events. http://www.cas.lancs.ac.uk/glossary_v1.1/prob.html

Probability Contents Outcome Sample Space Event Relative Frequency ... Back to Main Contents Outcome An outcome is the result of an experiment or other situation involving uncertainty. The set of all possible outcomes of a probability experiment is called a sample space. Sample Space The sample space is an exhaustive list of all the possible outcomes of an experiment. Each possible result of such a study is represented by one and only one point in the sample space, which is usually denoted by S. Examples 1. Experiment Rolling a die once: 2. Experiment Tossing a coin: 3. Experiment Measuring the height (cms) of a girl on her first day at school: Sample space S = the set of all possible real numbers Event An event is any collection of outcomes of an experiment. Formally, any subset of the sample space is an event. Any event which consists of a single outcome in the sample space is called an elementary or simple event. Events which consist of more than one outcome are called compound events. Set theory is used to represent relationships among events. In general, if A and B are two events in the sample space S, then:

143. A Short History Of Probability A Short History of probability. Before Laplace, probability theory was solelyconcerned with developing a mathematical analysis of games of chance. http://www.cc.gatech.edu/classes/cs6751_97_winter/Topics/stat-meas/probHist.html

A Short History of Probability From Calculus, Volume II by Tom M. Apostol nd The Dutch scientist Christian Huygens, a teacher of Leibniz, learned of this correspondence and shortly thereafter (in 1657) published the first book on probability; entitled De Ratiociniis in Ludo Aleae , it was a treatise on problems associated with gambling. Because of the inherent appeal of games of chance, probability theory soon became popular, and the subject developed rapidly during the 18th century. The major contributors during this period were Jakob Bernoulli (1654-1705) and Abraham de Moivre (1667-1754). In 1812 Pierre de Laplace (1749-1827) introduced a host of new ideas and mathematical techniques in his book, . Before Laplace, probability theory was solely concerned with developing a mathematical analysis of games of chance. Laplace applied probabilistic ideas to many scientific and practical problems. The theory of errors, actuarial mathematics, and statistical mechanics are examples of some of the important applications of probability theory developed in the l9th century. Like so many other branches of mathematics, the development of probability theory has been stimulated by the variety of its applications. Conversely, each advance in the theory has enlarged the scope of its influence. Mathematical statistics is one important branch of applied probability; other applications occur in such widely different fields as genetics, psychology, economics, and engineering. Many workers have contributed to the theory since Laplace's time; among the most important are Chebyshev, Markov, von Mises, and Kolmogorov.

144. Surfstat.australia Online, introductory statistics course notes. Includes an extensive glossary, interactive exercises, javascript probability tables and some java applet animations. http://www.anu.edu.au/nceph/surfstat/surfstat-home/surfstat.html

Please use the no frames version of Surfstat.

145. Math Tutor Available For Online Or Offline Help Offers online and offline homework assistance with arithmetic, algebra, geometry, trigonometry, precalculus, calculus and probability and statistics. Includes experience and certification. http://geocities.com/gyam001/

Home Experience Qualifications Help Available I am currently a High School Math Teacher on Long Island. Teaching is something that I find quite enjoyable. Granted teaching is not for everybody, but most things rarely are. My students are wonderful, yes even the so called "bad ones". If you need help in math please contact me February 2004 News: Currently coaching two students on Saturdays June 2003 News: The latest Math A Regents exam results for my class: over 61% of my students passed the Regents exam, compared with 15% passing for NY Statewide! Comments or questions about this site? Please contact Gurlzen ™

146. New URL For Applied Probability Society Applied probability Society of INFORMS. Our web site has moved to the URLbelow. Please update your links. http//appliedprob.society.informs.org/. http://www.fsa.ulaval.ca/informs/ap/

Applied Probability Society of INFORMS Our web site has moved to the URL below. Please update your links. http://appliedprob.society.informs.org/

147. AutoClass C - General Information An unsupervised Bayesian classification system that seeks a maximum posterior probability classification. http://ic-www.arc.nasa.gov/ic/projects/bayes-group/autoclass/autoclass-c-program

AutoClass C - General Information Contents What Is AutoClass What Is AutoClass C Update History Limitations Theoretical Questions ... Obtaining AutoClass C for Unix and Windows platforms - (new version 3.3.4 Windows stand-alone executable) - 06 May 02 Obtaining AutoClass C for Unix and Windows platforms - (version 3.3.4) - 24 Jan 02 Obtaining AutoClass C for DOS platforms - (version 2.7) Information on SNOB (a related classification program) Bayesian Learning Group What Is AutoClass AutoClass is an unsupervised Bayesian classification system that seeks a maximum posterior probability classification. Key features: determines the number of classes automatically; can use mixed discrete and real valued data; can handle missing values; processing time is roughly linear in the amount of the data; cases have probabilistic class membership; allows correlation between attributes within a class; generates reports describing the classes found; and predicts "test" case class memberships from a "training" classification. AutoClass uses only vector valued data, in which each instance to be classified is represented by a vector of values, each value characterizing some attribute of the instance. Values can be either real numbers, normally representing a measurement of the attribute, or they can be discrete, one of a countable attribute dependent set of such values, normally representing some aspect of the attribute.

148. SpringerLink - Publication Infinite Dimensional Analysis, Quantum probability and Related of mathematicians, mathematical physicists and other scientists who have been drawninto the fields of infinite dimensional analysis and quantum probability. http://www.springerlink.com/openurl.asp?genre=journal&issn=0178-8051

149. Oliver Knill's Homepage A comprehensive course in probability by Oliver Knill http://www.math.harvard.edu/~knill/index.html

Oliver Knill Harvard University One Oxford Street Cambridge, MA 02138, USA Department of Mathematics Office: SciCen 434 web camera Tel: (617) 495 5549 Email: knill@math.harvard.edu Vita Vita Math publications preprints seminar handouts dynamical-systems.org ... Sofia Teaching Math21a (Summer 2004) Math21a (Spring 2004) Physics section Math21b (Fall 2003) ... Older teaching stuff Etc Skating near Boston Charles river Running Websites Linux Links ... Mac OS X Stuff Search:

150. Www.levering.k12.pa.us/WWW/probability/ The probability Pipe OrganThe probability Pipe Organ. Sorryit appears your browser doesn t understandJava applets. probability and Statistics. Table of Contents. by John Walker. http://www.levering.k12.pa.us/WWW/probability/

151. Math Forum: Search Sci.stat.math Teachers and students of probability and statistics will find others who share their interests at the sci.stat.math discussion list. http://mathforum.org/discussions/epi-search/sci.stat.math.html

Search sci.stat.math sci.stat.math: Recent Messages Search the Entire Math Forum Find items containing: Click only once for faster results: Do you want to find items that have: at least one of your keywords, all, in any order, or that exact phrase? Do you want to find items containing your keywords as: complete words only, or as parts of other words as well? Home The Math Library Quick Reference Search ... Contact Us http://mathforum.org/

152. Second International Congress On: Soft Methods Inprobability And Statistics Translate this page Oviedo (Asturias) - Spain September 2-4 2004. SMPS2004. enter. ©Copyright by Dpto. Estadística e IO y DM University of Oviedo. http://www.uniovi.es/SMPS/

Oviedo (Asturias) - Spain September 2-4 2004

153. Math Project Ideas Site intended for teachers includes project ideas in probability and algebra, genetics, reliability theory, linefitting, and linear algebra. http://www.columbia.edu/~umk1

High School Math Project Ideas This site is intended to be a source of project ideas and hopefully a source for the editor to collect project ideas that browsers have to share. Probability Reliability Theory Genetics Systems of Equations Linear Programming Equation of a Line Fitting a Line to Data The projects described here were developed and used at the Coalition School for Social Change, a member of the Coalition of Essential Schools. Looking for math stuff? Here are a few places to begin: Math Stuff Recommended Math Sites> Problem Solving in Hawaii Hawaii Algebra Learning Project Connections to Geometry, Fractals, History of Mathematics, and More. Hotel Infinity, Graph Theory, Knots, a Mathematical Play and More Australian math assessment ideas Index of Project Ideas List of sites for Math Jokes ... Student Math Projects Thank You for Visiting! I hope to be updating this site with more math project ideas. I'm interested in your comments. Please send me a line. Hi, I'm the editor, Usha Kotelawala. Here's where I am. Send me some electrons: umk1@columbia.edu

154. Probability Explorer Home Page probability Explorer (Stohl, 19992002) is a research-based software applicationdesigned with tools that enable students and teachers to design, simulate, and http://www.probexplorer.com/

Home Brief Tour Download Demo Order Software Teaching Ideas ... Development s="na";c="na";j="na";f=""+escape(document.referrer) Graphical Design of this site done by Wayne D. Fields Home Probability Explorer (Stohl, 1999-2002) is a research-based software application designed with tools that enable students and teachers to design, simulate, and analyze a variety of probabilistic situations. The software environment can be used for activities from upper elementary grades through high school. Probability Explorer is purposefully designed as an open-ended learning environment with multiple ways to represent data that engage students in designing, simulating, and analyzing results of probability experiments. At a fundamental level, data is represented in PE with randomly generated icons that can be sorted, stacked (in a pictograph) or lined up in the sequence in which they occurred. A Pie Graph (relative frequency), Bar Graph (frequency), and Data Table (counts, fractions, decimals, and percents) are also available to display results in both static form as well as dynamically changing during a simulation. In April 2000

155. Shih Modelling tool that analyzes data generating classification, regression or class probability prediction models. http://www.shih.be/

General Info Home News CEO Mail us ... Old site Product Info Shih Data Miner Screenshots Technical Info Download ... Motors case Publications Classification methods Statistics and Machine Learning are Shih's allies to discover knowledge Shih focuses on predictive modeling and decision making software, helping you make advanced predictive models in the easiest way. Customized tools are available for the different applications. The tools run on any platform, are simple and are addressed to the end user. We cover diverse areas such as marketing, credit risk, insurance risk, finance, medical diagnosis, and pharmaceutical and scientific research. We predict the risk outcome of bank operations, such as credit cards approval and the risk behavior of existing loans, through credit and behavior scores. In insurance companies we assess the risk of a new client. In broker companies we do technical analysis to predict the future tendency of a stock based on technical information. In telephone companies we predict what clients are likely to stay or leave through churn scores. In marketing we segment and profile databases. In the medical field we offer applications for diagnosis and cancer prediction. Reach us to analyze (we will provide a free analysis) your data or do it yourself downloading our general version of Shih Data Miner Learn about prediction with Classification methods Shih data miner Shih data miner can be used in credit risk, prediction and forecast models, market profilers, medical diagnosis, and pharmaceutical or scientific research. It can be applied in diverse areas such as :

156. SticiGui Probability Calculator of AppletControls. The first choice box lets you select a probability distribution.......SticiGui © probability Calculator. You need Java to see this. http://stat-www.berkeley.edu/~stark/Java/ProbCalc.htm

SticiGui Probability Calculator You need Java to see this. This tool lets you calculate the probability that a random variable X is in a specified range, for a variety of probability distributions for X: the normal distribution , the binomial distribution with parameters n and p , the chi-square distribution , the exponential distribution , the geometric distribution , the hypergeometric distribution , the negative binomial distribution , the Poisson distribution , and Student's t -distribution Description of Applet Controls The first choice box lets you select a probability distribution. Depending on the distribution you select, text areas will appear for you to enter the values of the parameters of the distribution. Parameters that are probabilities ( e.g. , the chance of success in each trial for a binomial distribution) can be entered either as decimal numbers between and 1, or as percentages. If you enter a probability as a percentage, be sure to include the percent sign (%) after the number.

157. Probability Tutorials:Tutorials www.probability.net, Updated 19Apr-2004. clock468x60a3.gif (9867bytes). probability Tutorials, by Noel Vaillant. Tutorials, A B http://www.netcomuk.co.uk/~vaillant/proba

www.probability.net Updated 30-May-2004 Probability Tutorials by Noel Vaillant Tutorials A B C D ... V W Contents Tutorial 1 :Dynkin systems Dynkin system Sigma-algebra Dynkin theorem Tutorial 2 :Caratheodory Measure Outer-measure Extension of measures Tutorial 3 Stieltjes measure Stieltjes measure Lebesgue measure Borel sigma-algebra Tutorial 4 Measurability Continuous map Measurable map Metric Topology Tutorial 5 Lebesgue integral Monotone convergence Fatou lemma Dominated convergence Tutorial 6 Product spaces Rectangle Product sigma-algebra Product topology Tutorial 7 :Fubini theorem Product measure Partial measurability Fubini theorem Tutorial 8 Jensen inequality Convex function Compact space Taylor expansion Jensen inequality ... Tutorial 9 :Lp - spaces Holder inequality Cauchy-Schwarz Minkowski Lp-Completeness ... Tutorial 10 :L -functionals Complete spaces Hilbert spaces Orthog. projection L2-Functionals ... Tutorial 11 :Complex measure Complex measure Signed measure Total variation of a measure Tutorial 12 :Radon-Nikodym Absolute continuity Radon-Nikodym Hahn decomposition Tutorial 13 :Regular measure Inner, Outer-regular measure

158. "DAU STAT REFRESHER MODULE" An interactive module covering basic probability, random variables, moments, distributions, data analysis including regression, moving averages, exponential smoothing, and clustering. Defense Acquisition University. http://cne.gmu.edu/modules/dau/stat/

This module is an interactive tutorial which gives a comprehensive view of Probability and Statistics. This interactive module covers basic probability, random variables, moments, distributions, data analysis including regression, moving averages, exponential smoothing, and clustering. The Probability and Statistics refresher module is intended for use by DAU course participants. for assistance. The weblike arrangement of the tutorial enables the user to browse randomly from topic to topic. A knowledgeable user will be able to skip subtopics or proceed directly to an area of particular interest. CAUTION TO THE NOVICE USER: The weblike form of this tutorial tempts the user to follow each link offered and, thus, lose the thread of the subtopic originally begun. So it is advisable to limit random browsing from topic to topic when first using the tutorial. The subway lines are provided to help the user stay on the topic thread. In addition, note that the browser provides a way to backtrack through the pages seen using the "Back" button. The user is strongly encouraged to return to this page, the "Stat Home Page", from any point in the tutorial to leave a comment for the developers of the tutorial. (Click on "Comments" below.) The "house" button for quick return to this page is found on the subway map and on each individual page.

159. Statistics Glossary - Probability STEPS Statistics Glossary. probability. The set of all possible outcomesof a probability experiment is called a sample space. Sample Space http://www.stats.gla.ac.uk/steps/glossary/probability.html

Probability Outcome Sample Space Event Relative Frequency ... Index of all entries Outcome An outcome is the result of an experiment or other situation involving uncertainty. The set of all possible outcomes of a probability experiment is called a sample space. Sample Space The sample space is an exhaustive list of all the possible outcomes of an experiment. Each possible result of such a study is represented by one and only one point in the sample space, which is usually denoted by S. Examples Experiment Rolling a die once: Experiment Tossing a coin: Experiment Measuring the height (cms) of a girl on her first day at school: Sample space S = the set of all possible real numbers Event An event is any collection of outcomes of an experiment. Formally, any subset of the sample space is an event. Any event which consists of a single outcome in the sample space is called an elementary or simple event. Events which consist of more than one outcome are called compound events. Set theory is used to represent relationships among events. In general, if A and B are two events in the sample space S, then (A union B) = 'either A or B occurs or both occur' (A intersection B) = 'both A and B occur' (A is a subset of B) = 'if A occurs, so does B'

160. Zostrich Geotechnical Monitoring - Home Page Consulting services for mining and civil rock mechanics, geotechnical data collection and analysis, underground mine design (support, stability), open pit (rock slope failure probability, optimization and rock support), statistical analysis and design, forensic rock mechanics, TDR and OTDR monitoring. http://www.ursaeng.com/

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