Linear Model

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...

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 >...

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

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

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...


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

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

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...


Platforms: Windows

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

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

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

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

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

Linear Oscillator Model written by Juan Aguirregabiria The Linear Oscillator model solves the harmonic oscillator with or without linear damping and external sinusoidal force. The time evolution and phase space orbit are displayed. Optionally, the evolution of the mechanical energy appears in a...


Platforms: Mac

This is a learning model for matrix-based data. It can be more efficient than standard vector-based models when the training sample is small or the inputs are matrices, since this model has less parameters than standard ones and exploits an inner structure of the inputs. This model can be...


Platforms: Matlab

The Ejs Duffing Oscillator model computes the solutions to the non-linear Duffing equation, which reads, x'' + 2?zN*x' - x (1 - x2) = f cos(?Ya*t), where each prime denotes a time derivative. The simulation displays the solution as well as the phase space and Poincare plots, and energy diagram....


Platforms: Mac

The Ejs Duffing Phase model computes the solutions to the non-linear Duffing equation, which reads, x'' + 2?zN*x' - x (1 - x2) = f cos(?Ya* t), where each prime denotes a time derivative. The simulation displays the evolution of a group of oscillators with similar initial parameters on a phase...


Platforms: Mac