Teaching Probability

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...

This script is used as a teaching tool in the field of sports engineering.It demonstrates the creation of a GUI, and also enables the analysis of the trajectory of a lawn bowl.

The algorithm that modeling the processof arbitrary picking matches from matchboxes with equal probability. The process will terminate when one of matchboxes get empty


Platforms: Matlab

The algorithm that modeling the processof arbitrary picking matches from matchboxes with equal probability. The process will terminate when one of matchboxes get empty


Platforms: Matlab

Compares probabilities of two binomial samples X, Y from a Bernoully experiments with probability p1 for set X and p2 for set YTest the null hypothesis H_0: p1 = p2 vs alternatives H_1: p1 > p2 H_2: p1 < p2 H_3: p1 != p2 Input: X - row of 0 or 1 Y - row of 0 or 1 Output: z - normal statistics...


Platforms: Matlab

LEPSTEST [lepss] = lepstest(cumclimate,xo,xf,refprob) This code computes LEPS score LEPS: Linear Error Probability Space (Ward and Folland, 1991) lepss - Linear Error Probability Space Score xo - measured values: column vector or scalar xf - forecasted values: column vector or scalar...


Platforms: Matlab

A very simple program that gives Poisson probability P(m,n) where m is the average outcome and n is one certain outcome.


Platforms: Matlab

This m-file calculates the blocking or loss probability of a network node or link using the Erlang B loss formula. It does not use the formula directly (which doesn't work with high numbers) but an iterative algorithm. Tested with MATLAB R13 and Octave.


Platforms: Matlab

I have about a hundred MATLAB routines related to econometrics, statistics and introductory economics teaching, which are written mostly in my spare time in the past years. Most of these MATLAB functions / scripts are supplied with a graphic user interface so that so you may estimate the model...


Platforms: Matlab

The codes follow the paper Radkov P. and Minkova L. (2011) "Assessing bank's default probability using the ASRF model", Serials Publications' IJTMM, to derivation of implied default probabilities from the Vasicek model (asymptotic single risk factor model) and Basel 2 framework. The method for...


Platforms: Matlab

In Power System Reliability Studies, Capacity Outage Probability Table (COPT) forms one of the basic necessary indices. It is often required to generate COPT for Generators."Generator_COPT.m" is a function which takes the following three input to generate COPT for Generator Bus:1. Number of...


Platforms: Matlab

Slides and demo files from the webinar "MATLAB for Teaching' (Portuguese).


Platforms: Matlab

Returns the distribution of the function FUN applied to the set of distributions given in VARARGINPDFFUN Apply a function to a set of probability distributions[S,P,C]=PDFFUN(FUN,VARARGIN) will return the distribution of the function FUN applied to the set of distributions given in VARARGIN The...


Platforms: Matlab

This function provides the probability of surviving k of n trials for which the probability of each trial is p (for success) or 1-p for failure. So, if one has a 60% chance of surviving each event, there are 10 events, and you want to know the chance of surviving 4, and only 4, events then n=10,...


Platforms: Matlab

example: dismat(50,5,6) creates a 5x6 probability matrix and gives various parameters. dismata(a,r,c) a-matrix, r-row vector of x-values, c-column vector of y values. Freshers can see and appreciate the work load in the computation.


Platforms: Matlab

The Statistical and Thermal Physics (STP) Package contains read-to-run computer models and curricular materials for the teaching of statistical and thermal physics. You can choose from many different simulations and calculations ranging from probability distributions to Ising models. The STP...


Platforms: Mac

The QM Superposition Launcher package is a self-contained file for the teaching of the time evolution and visualization of energy eigenstates and their superpositions in quantum mechanics. The file contains ready-to-run OSP programs and curricular materials. One can choose from several real-time...


Platforms: Mac

The Phase Matters package is a self-contained file for the teaching of phase and time evolution in quantum mechanics. The file contains ready-to-run OSP programs and a set of curricular materials. The material focuses on when and how, for arbitrary quantum-mechanical states, the phase of the wave...


Platforms: Mac

The Momentum Space package is a self-contained file for the teaching of the time evolution and visualization of energy eigenstates and their superpositions via momentum space in quantum mechanics. The file contains ready-to-run OSP programs and a set of curricular materials. The material focuses...


Platforms: Mac

Tank Battles is a 3D simulator for teaching robot artificial inteligence. It'sheavilly influenced by Robocode, but differs from the former in that it adds the complexity of a full 3D scene, realistic physics simulation, among other features.


Platforms: *nix