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ITALASSI 1.2

... factors, it seems that very few researchers using multiple regression or structural equation modeling techniques do investigate for ... those interactions. If fact, in the context of multiple regression, a statistically significant interaction is often perceived as ... as an indication that an important assumption of multiple regression has been violated (namely the additivity assumption) ...
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Excel VBA Models Set 1 XL-VBA1.0

... Binomial Option Pricing Model 8. Portfolio Optimization 9. Multiple Regression 10. Bootstrap - A Non-Parametric Approach 11. Multivariate Standard Normal Probability Distribution 12. Monte Carlo Simulation 13. Option Greeks Based on Black-Scholes Option Pricing ...

LAB Fit Curve Fitting Software 7.2.48

... a 2D graph (digitizing); 7) Curve Fit (nonlinear regression - least squares method, Levenberg-Marquardt algorithm - with ... the main programs of this menu use nonlinear regression. LABFit fits functions of one and several independent variables (from 1 up to 6), admitting uncertainties at the dependent variable (Y) and also at ...

QA Wizard Pro 2011.0.0 B215

... applications. QA Wizard Pro automates the functional and regression testing of Web, Windows, and Java applications, and ... your application in less time. Functional Test Multiple Technologies with One Tool An automated testing ... ready to stress test your application. * Simulate multiple browser types during a single load test. * ...
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Excel VBA Models Combo Set XL-VBA4.0

... Binomial Option Pricing Model 8. Portfolio Optimization 9. Multiple Regression 10. Bootstrap - A Non-Parametric Approach 11. Multivariate Standard Normal Probability Distribution 12. Monte Carlo Simulation 13. Option Greeks Based on Black-Scholes Option Pricing ...

ndCurveMaster 2.0

... equations to describe empirical data using only a multiple linear regression method. ndCurveMaster is the first linear regression program that offers an overfitting detection option. ndCurveMaster ... from ranking list - user can start stepwise regression procedure with backward elimination the least significant variables ... to use - full statistical analysis - stepwise regression with backward elimination - history and ranking of ...

ndCurveMaster for macOS 2.0

... equations to describe empirical data using only a multiple linear regression method. ndCurveMaster is the first linear regression program that offers an overfitting detection option. ndCurveMaster ... from ranking list - user can start stepwise regression procedure with backward elimination the least significant variables ... to use - full statistical analysis - stepwise regression with backward elimination - history and ranking of ...

statistiXL 2.0

... Variance, Cluster Analysis, Contingency Tables, Correlation (Simple, Partial, Multiple and Canonical), Linear and Circular Descriptive Statistics, Classification ... as Binomial, Circular, Normal and Poisson, Simple and Multiple Linear Regression, Regression Comparison, Nonparametric Tests such as Friedman, Kruskal-Wallis and ...

VisualStat 9.4

... Z tests, Sign test, F test, Shapiro-Wilk, Shapiro-Francia Regression: Linear, polynomial, logistic, stepwise, Cox, Kendall, Spearman, residual, GLM ANOVA: MANOVA, Analysis of means, Multiple comparisons - Tukey, Dunnett, Scheffé, Bonferroni Non-parametric: Mann-Whitney, ... features: Reads Excel-SPSS-MiniTab-Stata, Query databases with ODBC, DataBook, multiple sheets, Formulas, multiple columns/rows headers, Auto DragAndDrop Data manipulation: merge, subset, ...

Kintecus 5.75

... features the ability to quickly run Chemkin models. Multiple Chemkin/freestyle thermodynamic databases can be used. Isothermal/Non-isothermal, adiabatic constant volume, constant pressure (variable volume) can easily be modeled with a flick of a switch. Programmed volume (replicating engine piston motion), programmed temperature, programmed species concentration can all easily be included in ...

ESBStats - Statistical Analysis Software 2.2.0

... through to Hypothesis Analysis, Time Series and Linear Regression. Includes Online Help, Tutorials, Graphs, Summaries, Import/Export, Customisable ... more. - Single, Dual (paired and unpaired) and Multiple Data Analysis (Multivariate analysis not in Lite Version). ... Variance (ANOVA) (not in Lite Version). - Linear Regression with Transformations of the dependent variable. - Multiple ...

NMath Stats 4.2.0

... biostatistics, including descriptive statistics, probability distributions, combinatorial functions, multiple linear regression, hypothesis testing, analysis of variance, multivariate statistics, partial ... (Gaussian), Poisson, Student's t, triangular, and Weibull distributions. Multiple linear regression. Basic hypothesis tests, such as z test, t-test, ...

CurveExpert Professional 1.0.2

... can be modelled using a toolbox of linear regression models, nonlinear regression models, smoothing methods, or various kinds of splines. Over 60 models are built-in, but custom regression models may also be defined by the user. ... and view stack capability. Multivariate: linear and nonlinear regressions can be computed for datasets with multiple independent ...
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CurveExpert Professional for Linux 1.0.2

... can be modelled using a toolbox of linear regression models, nonlinear regression models, smoothing methods, or various kinds of splines. Over 60 models are built-in, but custom regression models may also be defined by the user. ... and view stack capability. Multivariate: linear and nonlinear regressions can be computed for datasets with multiple independent ...
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CurveExpert Professional for Mac OS X 1.0.2

... can be modelled using a toolbox of linear regression models, nonlinear regression models, smoothing methods, or various kinds of splines. Over 60 models are built-in, but custom regression models may also be defined by the user. ... and view stack capability. Multivariate: linear and nonlinear regressions can be computed for datasets with multiple independent ...
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dbForge Unit Test for SQL Server 1.2

... stable and reliable code that can be properly regression tested at the unit level. Key Features: T-SQL ... updates, inserts, and deletions inside a database. Run Multiple Tests in Less Time. dbForge Unit Test for SQL Server allows to quickly run multiple tests with just a few clicks and get ...

TestingWhiz Community Edition 3.2

... changes you can re-use the same data for multiple scripts and regression tests. TestingWhiz also supports Keyword-driven testing to help you speed up your automation project. Set up keywords for the corresponding actions instead of writing ...

OptiVec for Visual C++ 7.1.3

... wide range of model functions from simple linear regression to non-linear models with multiple data sets. 5. Statistics. 6. Analysis (derivatives, integrals, extrema, interpolation). 7. Graphical representation of data in Cartesian coordinates. 8. Complex number math, both in ...
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OptiVec for Delphi 7.1.3

... wide range of model functions from simple linear regression to non-linear models with multiple data sets. 5. Statistics. 6. Comparisons (e.g., as building blocks for time series analysis). 7. Analysis (derivatives, integrals, extrema, interpolation). 8. Graphical representation of ...
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VMware ThinApp 4.7.3-891762

... to different Windows platforms, eliminating costly recoding and regression testing so you can easily migrate existing applications ... application conflicts, reducing the need for recoding & regression testing * Deliver reliable and flexible application access ... deployment on Windows 7. Avoid costly recoding and regression testing and accelerate deployment of business applications to ...
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SigmaXL 6.11

... Charts • EZ-Pivot/Pivot Charts • Basic Histogram • Multiple Histograms and Descriptive Statistics • Multiple Histograms and Process Capability • Multiple Boxplots, Dotplots Measurement Systems Analysis: • Create Gage ... (Crossed) • Attribute MSA (Binary) Process Capability: • Multiple Histograms and Process Capability • Capability Combination Report ... Correlation Matrix (Pearson and Spearman’s Rank Correlation) • Multiple Linear Regression • Binary and Ordinal Logistic Regression ...

Dew Lab Studio for Delphi 2017

... statistics - Hypothesis testing - Weighted/unweigted linear and multiple linear regression. - Weighted/unweighted non-linear regression - Time series analysis (ARMA, ARIMA, ARAR, MA, ...

Dew Lab Studio for .NET 2017

... statistics - Hypothesis testing - Weighted/unweigted linear and multiple linear regression. - Weighted/unweighted non-linear regression - Time series analysis (ARMA, ARIMA, ARAR, MA, ...

GraphPad Prism 6.01

... data, not fight with your software Nonlinear regression is an important tool in analyzing data, but ... by the Tukey, Newman-Keuls, Dunnett, Bonferroni or Holm-Sidak multiple comparison tests, the post-test for trend, or Fisher’s ... Normality testing by three methods. · Robust nonlinear regression. · Automatic outlier identification or elimination. · Compare ...

GraphPad Prism for Mac 6.01

... data, not fight with your software Nonlinear regression is an important tool in analyzing data, but ... by the Tukey, Newman-Keuls, Dunnett, Bonferroni or Holm-Sidak multiple comparison tests, the post-test for trend, or Fisher’s ... Normality testing by three methods. · Robust nonlinear regression. · Automatic outlier identification or elimination. · Compare ...

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