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WebCab Probability and Stat (J2SE Ed.) Download |
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Free Downloads > Home & Education > Math > WebCab Probability and Stat (J2SE Ed.) 3.3 WebCab Probability and Stat (J2SE Ed.) 3.3
Offers functionality from Basic Statistics, Discrete Probability, Standard Probability Distributions, Hypothesis Testing, Correlation and Linear Regression.Statistics ModuleThe Statistics module incorporates evaluation procedures of standard quantitative measures of centrality (mean) and dispersion of (discrete) numerical sets. This module incorporates weighted averages, geometric mean, Inter-Quartile range, mean and standard deviation, sample variance and the coefficient of variation.Discrete Probability ModuleThe Discrete Probability module encapsulates the foundations of discrete probability and discrete probability distributions. This component includes the addition law, conditional probability, cumulative distribution function, mean and variance of a distribution, expected values, covariance and simplification of expressions involving random variables.Correlation and Regression ModuleAllows the user to investigate relationships between two variables. These finding can be used to predict one variable from the given values of other variables. We cover linear (Spearman s, t-test, z-transform) and rank (Spearman s, Kendall s) correlation, linear regression and conditional means.Standard Probability Distributions ModuleThis module assists in the development of applications that incorporate the Binomial, Poisson, Normal, Lognormal, Pareto, Uniform, Hypergeometric and Exponential probability distributions. The probability density function, cumulative distribution function and inverse, mean, variance, Skewness and Kurtosis are implemented where appropriate and/or their approximations for each distribution. We also offer methods which randomly generate numbers from a given distribution.Confidence Intervals and Hypothesis Testing ModuleWithin this component we present two aspects of inferential statistics known as confidence intervals and hypothesis testing. Relate Software DownloadsDiamond Drop - It s Jerry against the falling rocks! Sweet and amiable Jerry the Mole, wh... XML Area Web Edition - XML editor written in JavaScript, embedded in Web page (IE & Mozilla). WebCab Portfolio for .NET - COM enabled .NET Component implementing the Markowitz Theory and CAPM. WebCab Portfolio (J2SE Edition) - Apply the Markowitz Theory and CAPM to construct the optimal portfolio. WebCab Portfolio (J2EE Edition) - Apply the Markowitz Theory and CAPM to construct the optimal portfolio. WebCab Portfolio for Delphi - Delphi Component implementing the Markowitz Theory and CAPM. WebCab Options for .NET - .NET Component and XML Web service offering Equity derivatives pricing framework WebCab Options (J2SE Edition) - General Equity derivatives pricing framework. WebCab Options (J2EE Edition) - EJB Suite implementing General Equity derivatives pricing framework. WebCab Options and Futures for Delphi - Delphi Component offering general Equity derivatives pricing framework. More Publisher's ProductsWebCab Bonds (J2EE Edition) - EJB Suite for Interest derivatives pricing, FRAs, Duration, Yield,... WebCab Options and Futures for Delphi - Delphi Component offering general Equity derivatives pricing framework. WebCab Options for .NET - .NET Component and XML Web service offering Equity derivatives pricing framework WebCab Portfolio (J2EE Edition) - Apply the Markowitz Theory and CAPM to construct the optimal portfolio. WebCab Portfolio (J2SE Edition) - Apply the Markowitz Theory and CAPM to construct the optimal portfolio. WebCab Portfolio for .NET - COM enabled .NET Component implementing the Markowitz Theory and CAPM. WebCab Portfolio for Delphi - Delphi Component implementing the Markowitz Theory and CAPM. WebCab Probability and Stat (J2EE Ed.) - Statistics, Discrete Prob, Distributions, Hypo. testing, Correlation,Regression WebCab Probability and Stat (J2SE Ed.) - Statistics, Discrete Prob, Distributions, Hypo. testing, Correlation,Regression WebCab Probability and Stat for .NET - Statistics, Discrete Prob, Distributions, Hypo. testing, Correlation,Regression |
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