Software Listing: Pearson

dftmat = DFT matrix of order N x N; N = Order of the matrix computes the DFT matrix of orer N x N; DFT matrix is a n x n matrix defined as Wn=[(Wn)^km] Wn=exp(-j*2*pi/n) Reference: Multirate Systems and Filter banks by P.P Vaidyanathan Pearson Education 1993 appendix A.6.

  • Platform: Matlab, Scripts

There are two issues with the Pearson type IV distribution: (I) the complex gamma function entering the normalization constant in the probability density function (pdf) and (II) the complex Gauss hypergeometric function entering the cumulative distribution function (cdf). For the complex gamma function we transcribe in Matlab code the C++ code by Heinrich. Since for several reasons the hypergeom function for complex arguments in Matlab is slow and accessible only in the last versions, for better dissemination we calculate the constants at the confidence integrals by numerical integration and inversion of the pdf.

  • Platform: Matlab, Scripts

This function computes double block bootstrap percentile confidence intervals and bootstrap standard errors for the Pearson correlation coefficient r and Fisher's z = atanh(r). References: -Efron, B. and R.J. Tibshirani (1993): An Introduction to the Bootstrap, Chapman & Hall. -BdoDshlmann, P. and M. MdoTAchler (2008): Computational Statistics, Lecture Notes, ETH Zurich. No Matlab toolboxes are required..

  • Platform: Matlab, Scripts

CHI2RAYLTEST: Single sample Pearson Chi Square goodness-of-fit statistical test to examine a null hypothesis of Rayleigh Channel. H=CHI2RAYLTEST(X,ALPHA) performs the particular case of Pearson Chi Square test to determine whether the null hypothesis of a Rayleigh channel realization is a reasonable assumption regarding the population distribution of a complex random sample X with the desired significance level ALPHA. H indicates the result of the hypothesis test according to the MATLAB rules of conditional statements: H=1 => Do not reject the null hypothesis at significance level ALPHA. H=0 => Reject the null hypothesis at significance level ALPHA.

  • Publisher: G. Levin
  • Date: 04-03-2013
  • Size: 10 KB
  • Platform: Matlab, Scripts

CHI2TEST: Single sample Pearson Chi Square goodness-of-fit hypothesis test. H=CHI2TEST(X,ALPHA) performs the particular case of Pearson Chi Square test to determine whether the null hypothesis of composite normality PDF is a reasonable assumption regarding the population distribution of a random sample X with the desired significance level ALPHA. H indicates the result of the hypothesis test according to the MATLAB rules of conditional statements: H=1 => Do not reject the null hypothesis at significance level ALPHA. H=0 => Reject the null hypothesis at significance level ALPHA. The Chi Square hypotheses and test statistic in this particular case are: Null Hypothesis: X is normal with unknown mean and variance.

  • Publisher: G. Levin
  • Date: 06-03-2013
  • Size: 10 KB
  • Platform: Matlab, Scripts

Computes Pearson's product moment correlation for input vectors that contain NaN values..

  • Platform: Matlab, Scripts

The Pearson eText Global app allows teachers and students around the world to access their eText bookshelf on a 7” or 10” Android tablet. The tablet device must support Android OS 3.1 or newer.

In the Pearson eText Global app, book content is displayed with the highest quality fidelity to the print and online versions of the textbook. Students and teachers will experience many of the same features available in the browser-based eText platform, including full-text search capabilities, a notes manager, support for multimedia content, glossaries and note-sharing.

To access your titles:
1.

  • Platform: Android 3.x, Android 4.4, Android 4.x

The Pearson Financial Calculator app gives you access to a fully functional financial calculator along with interactive tutorials. The financial calculator allows you to solve Time Value of Money, Cash Flow, and Amortization problems, while the interactive tutorials walk you through how to solve key financial problems using the Pearson Financial Calculator.

CALCULATOR FEATURES:
-Time Value of Money (PV, FV, PMT)
-Cash Flow (IRR, NPV)
-Amortization (Balance, Principle, Interest)

TUTORIAL FEATURES:
-15 tutorials included
-Step-by-step instructions with audio and animation
-Detailed scenarios similar to textbook problems

Note: If you are a MyFinanceLab user, look for the MyFinanceLab Financial Calculator app in the Google Play Store.

  • Platform: Android 4.x

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: Win2000, Win7 x32, Win7 x64, Windows Server, WinOther, WinVista, WinVista x64

A device handler for the PGPLOT Graphics Subroutine Library by T. J. Pearson that draws to a Qt widget and responds to Qt events. The package includes an installation script for inserting the driver into an existing PGPLOT distribution..

  • Platform: WinOther
  • rpowr
  • License: Freeware
  • Price: 0.00
  • Rating

RPowr is a simple calculator for planning correlational research. It computes the power of the Pearson correlation coefficient allowing adjustment for unreliability and range restriction of the variables (e.g. predictor and criterion measures)..

  • Platform: WinOther

Selected Matlab solution files for homework problems in Leon Couch, Digital and Analog Communication Systems, 7th Ed, Pearson Prentice-Hall, 2007.

  • Publisher: Leon Couch
  • Date: 19-01-2013
  • Size: 113 KB
  • Platform: Matlab, Scripts

A peak fitting program for time-series signals, written as a self-contained function in a single m-file. Uses an non-linear optimization algorithm to decompose a complex, overlapping-peak signal into its component parts. The objective is to determine whether your signal can be represented as the sum of fundamental underlying peaks shapes. Accepts signals of any length, including those with non-integer and non-uniform x-values. Fits Gaussian, exponentially-broadened Gaussian, Lorentzian, Pearson, and Logistic shapes (expandable to other shapes). Unlike the previous version of this program, this one does not use sliders, which were giving some people problems.

  • Platform: Matlab, Scripts

From undergraduate chemistry, we know how to test whether a reaction is 0th, 1st, or 2nd order by plotting different transformations of the data, and inspecting which plot fits the best. This program does the same thing. It transforms the data using different values of the order, attempting to maximize the Pearson r-squared value. Its much faster than making and inspecting a multitude of different plots. The picture above is essentially an example. I used the Wikipedia article for the n-th order transformation equation. (http://en.wikipedia.org/wiki/Rate_equation#Summary_for_reaction_orders_0.

  • Platform: Matlab, Scripts

This function computes a double block bootstrap percentile confidence interval and a bootstrap standard error for the difference of two z-transformed Pearson correlation coefficients. The z-statistic is defined as Zd = z1-z2 = atanh(r1)-atanh(r2), where r1 is the Pearson correlation coefficient between columns 1 and 2 of the input matrix and r2 is the correlation coefficient between columns 3 and 4. z1 and z2 denote Fisher's z of r1 and r2 respectively. References: -Efron, B. and R.J. Tibshirani (1993): An Introduction to the Bootstrap, Chapman & Hall. -BdoDshlmann, P. and M. MdoTAchler (2008): Computational Statistics, Lecture Notes, ETH Zurich.

  • Platform: Matlab, Scripts

CHISQUARECONT takes as input a 2x2 matrix that represents a 2x2 contingency table and calculates the probability of obtaining the observed and each of the more extreme tables based on the pearson chi square test which is based on the chi square distribution. The chi square test might become unreliable when the total number of expected frequencies (cell values in the contingency table) are not large enough (the total is smaller than 20 or a cell contains a value lower than 5). In such cases, the Fisher exact test should be used instead. Usage : p = chisquarecont(contab) [p,x2] = chisquarecont(contab) Input : contab -> a 2x2 contigency table created from the frequency data Output : p -> The p-value of the test (the probability of obtaining the observed and each of the more extreme tables) x2 -> The value for the chi square...

  • Platform: Matlab, Scripts

The D'Agostino-Pearson's K2 test is used to assessing normality of data using skewness and kurtosis. It approximates to the chi-squared distribution. File needs to input the data vector and significance level (default = 0.05). It outputs whether or not the normality is met..

  • Platform: Matlab, Scripts

1) How to compute a Pearson correlation coefficient in MATLAB? The idea is a simple fact in math: for two standardized variables (0 mean and 1 std), the correlation is equivalent to their inner product. Thus, for two large sample matrices X and Y, the sample correlation matrix is R=X'Y/(n-1), where n is the number of samples. 2) How to build a sparse matrix for a huge graph (e.g., 100,000 nodes) based on massive samples? Using the above code of computing fast correlation, together with an idea of dividing the sample matrix into several blocks, the task becomes pretty easy and efficient in MATLAB.

  • Platform: Matlab, Scripts

% pearspdf % [p,type,coefs] = pearspdf(X,mu,sigma,skew,kurt) % % Returns the probability distribution denisty of the pearsons distribution % with mean `mu`, standard deviation `sigma`, skewness `skew` and % kurtosis `kurt`, evaluated at the values in X. % % Some combinations of moments are not valid for any random variable, and in % particular, the kurtosis must be greater than the square of the skewness % plus 1. The kurtosis of the normal distribution is defined to be 3. % % The seven distribution types in the Pearson system correspond to the % following distributions: % % Type 0: Normal distribution % Type 1: Four-parameter beta % Type 2: Symmetric four-parameter beta % Type 3: Three-parameter gamma % Type 4: Not related to any standard distribution.

  • Publisher: Pierce
  • Date: 03-02-2013
  • Size: 10 KB
  • Platform: Matlab, Scripts

Generates a power curve for a Pearson's chi-square test for polyhedral dice given the number of faces on the die and the number of "rolls" to generate.
Polyhedral Power Curve License - GNU General Public License version 2.0 (GPLv2).

  • Platform: WinOther

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