General Linear Model

XLSTAT is a complete analysis and statistics add-in for Excel. It has been developed since 1993. XLSTAT includes more than 240 features in general or field-specific solutions. The use of Excel as an interface makes XLSTAT a user-friendly and highly efficient statistical and multivariate data...

XLSTAT is a complete analysis and statistics add-in for MS Excel. It includes regression (linear, logistic, nonlinear), multivariate data analysis (PCA, DA, CA, MCA, MDS), correlation tests, parametric tests, non parametric tests, ANOVA, ANCOVA and much more. Complementary modules are available...

On the gaussian fit i used "polyfit" which gives you en absolut one solution, but have some problems fitting non-linear model.In the attached file example i use "nlinfit", which can fit any kind of function that you want. the problem is that you need to give here a starting point."main.m" include...


Platforms: Matlab

This file computes a balanced incomplete block design [BIBD] analysis of variance. A BIBD is a set X of v >= 2 elements called treatments and a collection of b > 0 subsets of X, called blocks, such that the following conditions are satisfied: - each block consists of exactly k treatments, v > k >...


Platforms: Matlab

This file computes the standard (simple) split-plot design analysis of variance, taking into account the linear model:x_jkl = dlTA + a_j + doDc_k + d_jk + doDT_l + (doDcdoDT)_kl + e_jklwhere j = 1,...,a (blocks); k = 1,...,b (factor 1); l = 1,...,c (factor 2); d_jk ~ N[0,var_d] (error main...


Platforms: Matlab

DMAP (Drought Monitor And Prediction) software emerges as a critical tool for addressing the substantial impact of drought. Recognizing drought as a potent natural hazard, DMAP focuses on monitoring and prediction to mitigate its widespread damage and effects on communities. Drought indices...


Platforms: Windows, Windows 8, Windows 7, Windows Server

This paper presents the empirical modeling of thegaseous pilot plant which is a kind of interacting series processwith presence of non linearities. In this study, the discrete-time identification approach based on subspace method with N4SIDalgorithm is applied to construct the state space model...


Platforms: Matlab

Introduction to Stochastic Search and Optimization is an overview of the principles, algorithms, and practical aspects of stochastic optimization, including applications drawn from engineering, statistics, and computer science. The book may serve as either a reference book for researchers and...


Platforms: Matlab

Model Predictive Control based on linear models is widely used in the process Industry.A function is provided to fit a local linear model to a data set so that the model obtained is designed to perform predictions within a prediction window. The model is commensurate with the MPC control cost...


Platforms: Matlab

Measures of Analysis of Time Series (MATS) toolkit computes a number of different measures of analysis of scalar time series (linear, nonlinear and other statistical measures). It also contains pre-processing tools (transformations and standardizations), data splitting facility, resampled data...


Platforms: Matlab

Airlib is a library of aircraft models to be used with Simulink 3.1 (MATLAB 5.3) or later (tested on 6.1 & 6.5).It is based on two basic blocks that implement a continuous-time and a discrete-time nonlinear general aircraft model. Both blocks are largely based on the FDC toolbox, written by Marc...


Platforms: Matlab

bgam - Boosted Generalized Additive Models package---Implements boosting for the Generalized Additive and Linear Models (GAM and GLM).Extensible, fully documented. Implements linear and stub learners,least-squares/logistic/Poisson regression.The generalized linear model (GLM) is a flexible...


Platforms: Matlab

Model II regression should be used when the two variables in the regression equation are random and subject to error, i.e. not controlled by the researcher. Model I regression using ordinary least squares underestimates the slope of the linear relationship between the variables when they both...


Platforms: Matlab

Model II regression should be used when the two variables in the regression equation are random and subject to error, i.e. not controlled by the researcher. Model I regression using ordinary least squares underestimates the slope of the linear relationship between the variables when they both...


Platforms: Matlab

Model II regression should be used when the two variables in the regression equation are random and subject to error, i.e. not controlled by the researcher. Model I regression using ordinary least squares underestimates the slope of the linear relationship between the variables when they both...


Platforms: Matlab

Gapcmon is a gtk/glib desktop monitor program for the apcupsd package. Apcupsd interfaces with UPS power systems on local or networked systems. gapcmon connects to apcupsd via the NIS api to collect and displays the current operational state of the UPS. A Gtk2/GLib2 GUI application used to...


Platforms: *nix

NumXL is a Microsoft Excel add-in for econometrics and data analysis, designed to make finance modeling and time series easier to manage. You can perform all of your data work right in Excel. NumXL allows you to apply advanced econometric analysis quickly and easily via an intuitive user...


Platforms: Windows, Windows 8, Windows 7, Windows Server

The Integrating Vision Toolkit or IVT was designed as a stand-alone, easy-to-use and platform-independent C++ computer vision library. The toolkit features an object-oriented architecture. IVT offers a clean camera interface and a general camera model, as well as many fast implementations of...


Platforms: Windows

This is a MATLAB(R) implementation of the ideas discussed in Lopez-Calva, G. and K. Shea, "Fitting Survival Probability Models," WILMOTT Magazine, issue 45, pp. 16-22.We estimate the parameters of three different survival probability models based on credit default swap (CDS) spreads. The...


Platforms: Matlab

The bootstrap is a way of estimating the variability of a statistic from a single data set by resampling it independently and with equal probabilities (Monte Carlo resampling). Allows the estimation of measures where the underlying distribution is unknown or where sample sizes are small. Their...


Platforms: Matlab