• Introduction
• Using the SPA SDK
  • Getting Started
  • Using Distributions
  • Simulation
  • Input Data
  • Descriptive Statistics
  • Distribution Fitting
    • Overview
    • Fitting Options
    • Domain Bounds
    • Automated & Manual Fitting
    • Fitting Results
  • Creating Graphs
  • Error Handling
• Licensing & Deployment
  • Licensing
  • Deployment
• Mathematical Background
  • Distributions
    • Continuous
      • Beta
      • Burr
      • Cauchy
      • Chi-Squared
      • Dagum
      • Erlang
      • Error
      • Error Function
      • Exponential
      • F Distribution
      • Fatigue Life
      • Frechet
      • Gamma
      • Gen. Extreme Value
      • Gen. Gamma
      • Gen. Logistic
      • Gen. Pareto
      • Gumbel Max
      • Gumbel Min
      • Hyperbolic Secant
      • Inverse Gaussian
      • Johnson SB
      • Johnson SU
      • Kumaraswamy
      • Laplace
      • Levy
      • Log-Gamma
      • Logistic
      • Log-Logistic
      • Lognormal
      • Log-Pearson 3
      • Nakagami
      • Normal
      • Pareto (First Kind)
      • Pareto (Second Kind)
      • Pearson Type 5
      • Pearson Type 6
      • Pert
      • Power Function
      • Rayleigh
      • Reciprocal
      • Rice
      • Student's t
      • Triangular
      • Uniform
      • Wakeby
      • Weibull
    • Discrete
      • Bernoulli
      • Binomial
      • Discrete Uniform
      • Geometric
      • Hypergeometric
      • Logarithmic
      • Negative Binomial
      • Poisson
  • Graphs
    • Probability Density Function
    • Cumulative Distribution Function
    • Survival Function
    • Hazard Function
    • Cumulative Hazard Function
    • P-P Plot
    • Q-Q Plot
    • Probability Difference
  • Goodness of Fit Tests
    • Kolmogorov-Smirnov
    • Anderson-Darling
    • Chi-Squared
  • Glossary
  • References
• Object Reference
  • SPAApplication
    • FitOptions
    • GraphOptions
    • Initialize
    • Language
    • Randomize
    • Register
    • TrialDaysLeft
  • SPAAxisOptions
    • Title
  • SPAConst
  • SPADataSet
    • Assign
    • Domain
    • Fit
    • Graph
    • NumPoints
    • Statistics
    • Type
  • SPADistribution
    • Cdf
    • Color
    • CopyFrom
    • CumHazard
    • Defined
    • Domain
    • FitMode
    • Handle
    • Hazard
    • Inverse
    • Name
    • Param
    • ParamCount
    • ParamFixable
    • ParamFixed
    • ParamName
    • ParamOptional
    • ParamValid
    • Pdf
    • Random
    • RandomArray
    • Reset
    • Statistics
    • Survival
    • Title
    • Type
  • SPAFitOptions
    • GofCSEqualProb
    • GofEnabled
    • LBoundType
    • LBoundValue
    • MLAccuracy
    • MLMaxIterations
    • RankBy
    • Reset
    • UBoundType
    • UBoundValue
  • SPAFitResult
    • CopyFrom
    • Distribution
    • GofCriticalValue
    • GofPValue
    • GofRejectNull
    • GofStatistic
    • GofValid
    • Rank
    • ShowOnGraph
    • Status
  • SPAFont
  • SPAGraphOptions
    • AxisNumbersFont
    • AxisTitlesFont
    • BackColor
    • DataColor
    • DataLineWidth
    • DataTitle
    • Destination
    • DestinationFileName
    • ForeColor
    • Height
    • LegendFont
    • LineQuality
    • LineWidth
    • MaxPoints
    • NumBins
    • PointSize
    • PointStyle
    • Reset
    • ShowLegend
    • Title
    • TitleFont
    • Width
    • XAxis
    • YAxis
  • SPAStatistics
    • Defined
    • Percentile
    • Value
• Ordering & Support
  • Ordering Information
  • Contact Information
  • License Agreement

Introduction to the Simulation & Probabilistic Analysis SDK 1.2

The SPA SDK allows you to embed the probability data analysis and simulation features into your custom software applications, leaving the complex technical details behind the scenes, and enabling you to focus on your core software development goals.

Key Features

The SDK provides most of the features available in EasyFit (the desktop distribution fitting software product), including:

• support for more than 50 continuous and discrete distributions;
• simulation (random number generation);
• automated and manual distribution fitting;
• high-quality graphs;
• goodness of fit tests.

Supported Development Platforms

The supported development platforms include the .NET environment (C#, VB.NET, C++.NET) and all languages that support the COM technology, such as Visual C++ and Visual Basic.

Getting Started

For details on how to start developing software using this SDK, see the Getting Started topic.

System Requirements

• Windows 2000, Server 2003, XP, Vista, 7;
• 20 MB available hard disk space;
• 128 MB available RAM.

Stay Updated

To obtain the latest information on the SPA SDK, please visit our Web site.

Copyright Information

Copyright © MathWave Technologies. All rights reserved.
https://www.mathwave.com

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