WebCab Probability and Stat for Delphi 3.3
- Edit Rating:
- License:Commercial
- Requirements:.NET Framework v1.x
- System:Win95,Win98,WinME,WinNT 4.x,Windows2000,WinXP,Vista
- Publisher:WebCab
- File size:2441 KB
- Update time:09/01/2006
- Price:$179
WebCab Probability and Stat for Delphi Description
WebCab Probability and Stat for Delphi - Offers functionality from Basic Statistics, Discrete Probability, Standard Probability Distributions, Hypothesis Testing, Correlation and Linear Regression for your Delphi Applications.
WebCab Probability and Stat for Delphi - The 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.
WebCab Probability and Stat for Delphi - The 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.
WebCab Probability and Stat for Delphi - Allows 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.
WebCab Probability and Stat for Delphi - This 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.
WebCab Probability and Stat for Delphi - Within this component we present two aspects of inferential statistics known as confidence intervals and hypothesis testing.
WebCab Probability and Stat for Delphi - The 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.
WebCab Probability and Stat for Delphi - The 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.
WebCab Probability and Stat for Delphi - Allows 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.
WebCab Probability and Stat for Delphi - This 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.
WebCab Probability and Stat for Delphi - Within this component we present two aspects of inferential statistics known as confidence intervals and hypothesis testing.
WebCab Probability and Stat for Delphi Key Feature:
- High speed works.
- Allows the user to investigate relationships between two variables.
- The Discrete Probability module encapsulates the foundations of discrete probability and discrete probability distributions.
- Very User-friendly interface.
- Excellent software.
- 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.
- We cover linear (Spearman's, t-test, z-transform) and rank (Spearman's, Kendall's) correlation, linear regression and conditional means.
- These finding can be used to predict one variable from the given values of other variables.
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