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Probability:     more books (100)
1. Using the Standards - Data Analysis & Probability, Grade 2 (100+) by MathQueue, 2005-04-29
2. Introduction to Probability Theory (Norton Critical Edition) by Paul G. Hoel, Sidney C. Port, et all 1971-06

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

Courses, programs
Statistical consulting
Statistics in Slovakia Â EYSM 2001 Â 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
##### 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".
##### 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!

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/
##### 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 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 Math Teaching Etc 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
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152. Second International Congress On: Soft Methods Inprobability And Statistics
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
##### 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.
The projects described here were developed and used at the Coalition School for Social Change, a member of the Coalition of Essential Schools.
##### 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

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
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Shih Data Miner

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... 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 Â© 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/

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'