Software Downloads for "Regression Data"

The system solves constrained nonlinear parameter estimation (nonlinear regression, data, curve and surface fitting) problems based on ODEs, DAEs, PDEs, PDAEs, steady-state systems, Laplace equations, and analytical functions. A statistical analysis provides confidence intervals, correlation and covariance matrix, identification of significant parameters, and allows optimum experimental design. Model equations are defined in a modeling language called PCOMP and are interpreted and evaluated during runtime.

Java Machine Learning Library is a library of machine learning algorithms and related datasets. Machine learning techniques include: clustering, classification, feature selection, regression, data pre-processing, ensemble learning, voting, ....

The software system solves constrained nonlinear parameter estimation problems. Synonyms are data fitting, nonlinear regression, parameter identification, curve and surface fitting. The numerical methods are based on highly efficient Gauss-Newton-SQP algorithms. Model functions are defined in a modeling language called PCOMP and are interpreted and evaluated during runtime.

General: Arbitrary fitting criteria depending on parameters to be estimated, additional nonlinear equality or inequality constraints, and optionally on a second independent model variable

Numerical routines: Gauss-Newton-type SQP methods, automatic differentiation, alternative norms (sum of absolute values, maximum of absolute values), confidence intervals for estimated parameters, correlation and covariance matrix, identification of significance...

ENZyme KINetics is the study of the chemical reactions that are catalysed by enzymes. In enzyme kinetics the reaction rate is measured and the effects of varying the conditions of the reaction investigated. Studying an enzyme's kinetics in this way can reveal the catalytic mechanism of this enzyme, its role in metabolism, how its activity is controlled, and how a drug or a poison might inhibit the enzyme. Michaelis Menten kinetics approximately describes the kinetics of many enzymes. It is named after Leonor Michaelis and Maud Menten.

  • Platform: Matlab, Scripts
  • Publisher: Giuseppe Cardillo
  • Date: 26-05-2013
  • Size: 10 KB

Free software for automation of professional measurement systems, data acquisition, processing and analysis. Especially suitable for scientists who would like to make high-performance, precise measurements in the experimental physics. Optimized for real-time operation, provides OLE-compatible programming model and supports ActiveX scripting. Features include powerful visual tools (graphic editor, digitizer, base line subtractor), wide set of numeric and symbolic calculations, nonlinear Levenberg-Marquardt regression, and more.

  • Platform: Windows
  • Publisher: RRR
  • Date: 24-03-2003
  • Size: 2487 KB

Programmable scientific and technical graphics optimized for automation of test and measurement systems, data acquisition and post-process. Especially suitable for scientists who would like to make high-performance, precise measurements in the experimental research. Features include powerful visual tools (graphic editor, plot digitizer, base line subtractor), wide set of numeric and symbolic calculations (integration, differentiation, smoothing, etc), linear and nonlinear NLSF (Levenberg-Marquardt) regression analysis, configurable user interface and more.

  • Platform: Windows
  • Publisher: RRR
  • Date: 24-06-2005
  • Size: 4436 KB
  • DRS
  • License: Demo
  • Rating

People will obtain many relating data of two or more than two dimension during experiments and production. These data will help them to solve problems of reality on contrary, which need data processing to make them become mathematicalematical model reflecting the data variation regulation. The application of the Least Square Method can only make linear regression, but to the nonlinear problems it must construct relating mathematicalematical relationship expression, namely mechanism model through procedure supposing to do linearization processing of mechanism model and then do regression modeling computation.

Calculates regression different models and tests includes Pearson's Correlation Coefficient, Ordinary Least Square, Coefficient of Determination, Statistical Test of Significance. Also the software provides narrative explanation of data analysis. All about Afghanistan - Welcome. Afghanistan history, culture and people, Islam, Afghanistan Economic, Economy of Afghanistan, Afghani Music, Afghan students of Economics.

  • Platform: Windows
  • Publisher: Kanishka Wahidi
  • Date: 12-02-2011
  • Size: 1024 KB

PSPPIRE Data Editor is a handy and reliable application designed to help you perform statistical analysis of data sets.

Designed to replace SPSS, the software can be used for performing T-tests, linear regression and non-parametric tests. It supports over 1 billion cases and variables and its syntax is compatible with SPSS.

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DataFitting is a powerful statistical analysis program that performs linear and nonlinear regression analysis (i.e. curve fitting). DataFitting determines the values of parameters for an equation, whose form you specify, that cause the equation to best fit a set of data values. DataFitting can handle linear, polynomial, exponential, and general nonlinear functions.

DataFitting performs true nonlinear regression analysis, it does not transform the function into a linear form. As a result, it can handle functions that are impossible to linearize such as:

y = (a - c) * exp(-b * x) + c

Quickly Find the Best Equations that Describe Your Data:
DataFitting gives students, teachers, engineers, researchers and other professionals the power to find the ideal model for even the most complex data, by putting...

FixMyNumbers is a simple instrument that is supposed to help student's regression and variance analysis quickly calculate data.

All the user has to do is browse for the Excel (.xls) file, load into FixMyNumbers, and the application will quickly display the results.


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The Multiple Regression Analysis and Forecasting template enables the confident identification of value drivers and forecasting business plan or scientific data. The multiple regression process utilizes commonly employed statistical measures to test the validity of the analysis and results are summarized in text form to be easily understood. When predictive relationships have been identified by the regression analysis, forecasting can be quickly accomplished based on a range of available methodologies and accompanying statistical strength.

ndCurveMaster was designed to find optimum equations to describe empirical data using a regression method. ndCurveMaster is the first and only program to find the ideal equation to allows the auto fitting of an unlimited number of input variables, for example: y= a0 + a1*x1^(-11) + a2*x3 + a3*x5^3 + a4*[ln(x8)]^3 + a5*[exp(x1*x4)]^(-2) + a6*x1*x8^2 + a7*ln(x2*x6) + a8*x2*x3*x4. ndCurveMaster uses heuristic techniques for curve fitting. The software is designed with the purpose of generating high quality results and output while saving your time in the process.

  • Platform: Mac OS X
  • Publisher: TCScienceSof
  • Date: 24-04-2017
  • Size: 3573 KB

Data Curve Fit Creator Add-in is an easy-to-use data analysis add-in for Microsoft Excel. It adds curve fitting, interpolation, and data smoothing functions to Excel. Curve fitting functions include polynomial fits and a versatile local regression (loess) function. Interpolations include linear, cubic spline, bessel and monotonic \'constrained\' splines, as well as a \'flexible spline\' that allows you to specify the slope at each data point. Cubic spline function coefficients and slope can also be returned.

WINKS (Windows KWIKSTAT) makes statistical data analysis understandable and easy to perform. Award-winning statistics program with thousands of users in over 65 countries. Basic analyses include descriptive statistics and graphs, p-values, t-tests and Analysis of Variance (ANOVA), (w/paired and repeated measures), non-parametric analyses, chi-square, regression, correlation, etc..

  • Platform: WinOther
  • Publisher: TexaSoft
  • Date: 06-01-2003
  • Size: 1249 KB

The Multiple Regression Analysis and Forecasting model provides a solid basis for identifying value drivers and forecasting business plan data. While it utilises a range of commonly employed statistical measures to test the validity of the analysis, results are summarized in text for ease of use. Once relationships have been identified, forecasting can be accomplished based on a range of available methodologies..

  • DTREG
  • License: Shareware
  • Rating

DTREG is a powerful statistical analysis program that generates classification and regression decision trees that model data and can be used to predict values. DTREG is a robust application that is installed easily on any Windows system. DTREG reads Comma Separated Value (CSV) data files that are easily created from almost any data source. Once you create your data file, just feed it into DTREG, and let DTREG do all of the work of creating a decision tree and pruning it to the optimal size. Even complex analyses can be set up in minutes.

NLREG performs nonlinear regression and curve fitting. NLREG fits a mathematical function whose form you specify to a set of data values. Virtually any type of function can be fitted. NLREG includes a programming language similar to C that you use for describing the function to be fitted. Two dimensional line and three dimensional surface plots can be generated. The programming language includes a large selection of built-in library functions (sin, cos, log, exp, etc.) that makes it easy to describe complicated models.

DataFit is a tool used to perform nonlinear regression (curve fitting), statistical analysis and data plotting. What sets DataFit apart from similar curve fitting and regression programs is its ease of use. DataFit is driven by a well-designed graphical interface, so there are no complicated instructions to remember and no programs to write. Data entry is achieved through a standard spreadsheet interface, which supports ASCII and ODBC data source import, as well as cutting and pasting data from the clipboard.

ESBPCS-Stats is a subset of ESBPCS (ESB Professional Computation Suite) containing Components and Routines for Statistical Analysis and Matrix/Vector Manipulation in Borland Delphi and C++ Builder. This subset is ideal for people who just want the Stats and/or Matrix/Vector parts of ESBPCS, though you can upgrade to the full version at any time. Also includes Components and routines covering Probability Distributions, Linear Regression, Hypothesis Analysis, Equation Solving and more. The subset includes a good collection of Edits, SpinEdits, ComboBoxes, Memos, CheckBoxes, RadioGroups, CheckGroups as well as a huge collection of routines.

  • Platform: Windows
  • Publisher: ESB Consultancy
  • Date: 22-02-2005
  • Size: 8608 KB
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