Products
GAUSS 數值計量軟體
Produce a data analysis environment based on the GAUSS Matrix Programming Language and other data analysis tools.

有任何問題歡迎來信徵詢

 


 

 

最新版 GAUSS 9.0

 

GAUSS數值統計軟體是一個運算快速的矩陣編程語言,被科學家、工程師、統計學家、生物學家、經濟學家和金融分析師所廣泛使用。

 

GAUSS軟體可設計運算密集的任務,是一個適合沒有要求用C或FORTRAN程式的研究者,但結果發現大多數的統計或數值的"套裝軟體",不夠靈活或強大,不足以對大的問題進行複雜分析或工作 。

 

無論數學工具或編輯語言程式,你現在可以使用GAUSS,您會發現可大大增加你的生產力!

 

GAUSSTM Products

 

GAUSS:Mathematical and Statistical System

GAUSS Data Tool

GAUSS Engine

GAUSSplot:Professional Graphics

GAUSS Applications

Algorithmic Derivatives A program for generating GAUSS procedures for computing algorithmic derivatives.
Constrained Maximum Likelihood MT Solves the general maximum likelihood problem subject to general constraints on the parameters.
Constrained Optimization Solves the nonlinear programming problem subject to general constraints on the parameters.
CurveFit Nonlinear curve fitting.
Descriptive Statistics Basic sample statistics including means, frequencies and crosstabs. This application is backwards compatible with programs written with Descriptive Statistics 3.1
Descriptive Statistics MT Basic sample statistics including means, frequencies and crosstabs. This application is thread-safe and takes advantage of structures.
Discrete Choice A statistical package for estimating discrete choice and other models in which the dependent variable is qualitative in some way.
FANPAC MT Comprehensive suite of GARCH (Generalized AutoRegressive Conditional Heteroskedastic) models for estimating volatility.
Linear Programming MT Solves small and large scale linear programming problems
Linear Regression MT Least squares estimation.
Loglinear Analysis MT Analysis of categorical data using loglinear analysis.
Maximum Likelihood MT Maximum likelihood estimation of the parameters of statistical models.
Nonlinear Equations MT Solves systems of nonlinear equations having as many equations as unknowns.
Optimization Unconstrained optimization.
Time Series MT Exact ML estimation of VARMAX, VARMA, ARIMAX, ARIMA, and ECM models subject to general constraints on the parameters. Panel data estimation. Unit root and cointegration tests.
 
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