> > > This suite consists of four EJB modules: Statistics, Discrete Probability, Standard Probability Distributions, Confidence Intervals and Hypothesis Testing which offer the following functionality:

> > > Statistics Module

> > > Discrete Probability Module

> > > Standard Probability Distributions Module

> > > Confidence Intervals and Hypothesis Testing Module

> > > New Features: Self-Deploy, EAR Files

> > > By clicking the self-install package the EJB component will be automatically deployed onto a supported local EJB application server. We also include multiple EAR files designed for each of the most widely used application servers (see details).

> > Prices

> > > Probability and Statistics Suite v3.1
> > > Single CPU Server License | $349
> > > 2 CPU Server License | $460
> > > 4 CPU Server License | $691
> > > Unlimited Site Wide/Company Server License | $967
> > > Demo License (limited functionality) | $0

> > > Prices are expressed in USD.

> > Product Details

> > > This suite consists of four EJB modules with the following features:

> > > Statistics Module

> > > - Measures of Mean
> > > - Arithmetic Mean - a measure of centrality for quantitative data
> > > - Median - the middle value when the observations are arranged in order of magnitude
> > > - Mode - the most frequently occurring observation
> > > - Weighted Average - the arithmetic average of a weighted set
> > > - Geometric Mean - the nth root of the product of all numerical observations
> > > - Range - the difference between the largest and the smallest observation
> > > - Measures of Dispersion
> > >   - Inter-Quartile Range (IRQ) - a measure of dispersion which is not affected by extreme values
> > >   - Mean Deviation - the sum of the distances between the observation and the arithmetic mean
> > >   - Sample Variance - the sum of the squares of the distances between the observations and the arithmetic mean
> > >   - Sample Standard Deviation - the measure of dispersion which has the same units as the observations and is the square root of the sample variance
> > >   - Coefficient of Variation - computes the spread of sets for observations which have been made in different units
> > > - Data Presentation
> > >   - Frequency Tables - show the number of the elements inside some intervals
> > >   - Cumulative Frequency Tables - show the number of the elements within a data set either the hieghest value (or above the lowest value) of the present frequency table.
> > >   - Relative Frequency Tables - help to compare two or more data sets, normalized the frequencies

> > > Discrete Probability Module

> > > - Discrete Probability
> > >   - Discrete probability - a priori and relative frequency definition
> > >   - The Addition Law - used when combining event set or testing for their independence
> > >   - Conditional probability - the probability of an event assume that another event takes place
> > >   - Complementary event probability - the probability of a set of events not taking place
> > > - Discrete Probability Distributions
> > >   - Cumulative distribution function - the sum of the probabilities of a sequence of events
> > >   - Mean - the sum of the product of the probability of an event with its value
> > >   - Variance - a measure of the distributions spread from the mean
> > >   - Expected values - the expected value of the random variable
> > >   - Covariance - the covariance of two random variables
> > >   - Ro - the population correlation coefficient of two random variables
> > > - Expression with random variables and basic probability laws
> > >   - Simplify expression - simplify expressions involving the mean, variance, expected values and covariance of random variables
> > >   - Union and Intersection - the basic formulae for calculating the union and the intersection of two or many events

> > > Standard Probability Distributions Module

> > > - Discrete Random Variables
> > > - The binomial distribution - this is the probability of an experiment to deliver x `successes' out of n trials
> > > - The Poisson distribution - this is an exponential dependant distribution, especially used in case of rare events
> > > - Continuos Random Variables
> > > - The normal distribution - the bell-shaped symmetrical curve, whose probability is calculated using numerical integration methods
> > > - The Log Normal distribution - the Lognormal distribution is useful for modeling investment returns and the distribution of insurance claim sizes
> > > - The Pareto Distribution - The Pareto distribution is useful for modeling the distribution of insurance claims when we wish to be cautious in assessing the probability of large claims
> > > - Numerical Methods
> > > - Extended Trapezoidal Rule - this method is implemented in order to evaluate the non-analytic probability density functions of the Normal and Lognormal distributions

> > > Confidence Intervals and Hypothesis Testing Module

> > > - Normal Confidence Interval - used when large samples with > 30 elements are considered
> > > - Two-sided confidence interval for the mean, proportions, difference between means and difference between proportions
> > > - One-sided confidence interval for the mean, proportions and difference between means
> > > - Estimating the sample size for a given confidence of the mean
> > > - Estimating the sample size for a given confidence of the proportions
> > > - Student Confidence Interval - used when small samples with <= 30 elements are considered
> > > - Two-sided confidence interval for the mean and the difference between means
> > > - One-sided confidence interval for the mean
> > > - Normal Hypothesis Testing - used when large samples with > 30 elements are considered
> > > - Two-sided hypothesis testing for the mean, proportions, difference between means and difference between proportions
> > > - One-sided hypothesis testing for the mean, proportions, difference between means and difference between proportions
> > > - Student Hypothesis Testing - used when small samples with <= 30 elements are considered
> > > - Two-sided hypothesis testing for the mean, proportions and the difference between means
> > > - One-sided confidence interval for the mean, proportions and difference between means

> > > This package also contains the following features:

> > - GUI Bundle - we bundle a suite of graphical user interface JavaBean components (with a site-wide licence) allowing the developer to plug-in a wide range of GUI functionality (including charts/graphs) into their client applications
> > - EAR Files - we provide individual customized EAR files for the most widely used application servers including IBM WebSphere 4.0/5.0, BEA WebLogic 6.1/7.0, Oracle 9iAS, Sun ONE AppServer 7, Ironflare Orion 1.5.2/1.6.0, Borland AppServer 5.0, Sybase EAServer 3.6 and JBoss 2.4.4/3.0.0
> > - Self-Deploy - the relevant servers EAR file will be self-deployed onto supported local application servers during the installation of the self-install package. The supported application servers include IBM WebSphere 4.0/5.0Beta, BEA WebLogic 6.1/7.0, Oracle 9iAS, Borland AppServer 5.0, Ironflare Orion 1.5.2/1.6.0 and JBoss 2.4.4/3.0.0
> > - JDBC Mediator - An server side EJB component which mediates between a EJB component, clients and DBMS. The mediator moves most of a clients JDBC calls to the server and hence greatly increases the speed of JDBC client applications.
> > - JDBC Support - this component fully support JDBC allowing seamless integration with JDBC compliant database management systems
> > - Synthetic JDBC - we use a JSP component to perform EJB calculations on SQL database columns from a remote DBMS. We apply an EJB function to certain rows from the database and list the output in HTML format. This is a powerful feature since it allows you to perform calculations in a JDBC manner without having to hardcode the EJB-to-JDBC transaction yourself as it is all done by the JSP within the Application Server
> > - UML Models - to assist software architects we include UML diagrams

> > Prerequisites

> > > - An Operating System running JavaTM
> > > - Pentium III® 733 Mhz
> > > - 256MB RAM
> > > - A J2EE1.3 (EJB2.0) compatible Application Server
> > > Software requirements:
> > > - Java2 Enterprise Edition
> > > - JDK 1.3 or compatible

> > Compatibility

> > > Operating system for deployment:
> > > - Windows XP, 2000, NT
> > > - Sun Solaris
> > > - Linux
> > > - IBM AIX
> > > - HP-UX

> > > Built Using:

> > > - JavaTM 2 SDK Standard Edition 1.3.1/1.4
> > > - JavaTM 2 SDK Enterprise Edition 1.3

> > Application Servers:
> > - IBM WebSphere Application Server V4.0/V5.0
> > - BEA WebLogic® Server 6.1/7.0
> > - Oracle® 9i Application Server
> > - Sun ONE AppServer 7
> > - Borland Enterprise AppServer 5.0
> > - Ironflare Orion Server 1.5.2/1.6.0
> > - Sybase EAServer 3.6
> > - JBoss 2.4.4/3.0.0

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