Search
Code Directory
 ASP
 ASP.NET
 C/C++
 CFML
 CGI/PERL
 Delphi
 Development
 Flash
 HTML
 Java
 JavaScript
 Pascal
 PHP
 Python
 SQL
 Tools
 Visual Basic & VB.NET
 XML
New Code
dbForge Studio for PostgreSQL 2.3.212
HTMLPad 2020 16.2
WeBuilder 2020 16.2
Rapid CSS 2020 16.2
Rapid PHP 2020 16.2
C# HTML to PDF 2020.8.1
Flowrigami 1.0.0.1
Vue Injector 3.3
Spectrum Analyzer pro Live 2019
Devart Excel Add-in for HubSpot 2.1
RentALLScript - Airbnb clone 2.2
SuiteCRM Theme Customization 7.11.6
iScripts NetMenus 3.1
iScripts EasyIndex 2.2
iScripts EasySnaps 2.0
Top Code
IcrediBB Bulletin Board System 1.0
HTMLPad 2020 16.2
Azizi search engine script PHP 4.1.10
Video Conference Website Scripts 2.86
MCU 8051 IDE 1.4.7
Ether MMORPG 0.1
School Management Script 1.0.4
PHP Search Engine (SEARCpHp)
Flash Games Page 1.0.5
LMS Algorithm Demonstration 1.0
Audit Trail 1.1.12
Dew Lab Studio 2.1
Perl Variable HTML Escape and UnEscape
phpMyTourney 1.1
MakeBid Auction 3.0
Top Rated
Uber Clone with Safety Measure Addons 2.0
Answers phpSoftPro 3.12
phpEnter 5.1.
Quick Maps For Dynamics CRM 3.1
Single Leg MLM 1.2.1
Azizi search engine script PHP 4.1.10
Paste phpSoftPro 1.4.1
Extreme Injector 3.7
Apphitect Airbnb Clone Script 1.0
Deals and Discounts Website Script 1.0.2
Pro MLM 1
Solid File System OS edition 5.1
Classified Ad Lister 1.0
Aglowsoft SQL Query Tools 8.2
Invoice Manager by PHPJabbers 3.0
Kernel smoothing density estimate for circular data 1.0
File ID: 79934






Kernel smoothing density estimate for circular data 1.0
Download Kernel smoothing density estimate for circular data 1.0http://www.mathworks.comReport Error Link
License: Shareware
File Size: 10.0 KB
Downloads: 4
Submit Rating:
Kernel smoothing density estimate for circular data 1.0 Description
Description: This is a companion to Matlab's Statistics toolbox ksdensity function and Philipp Berens' CircStat toolbox.

The difference with Matlab's ksdensity function is that this function is adaped to circular data, such as wind orientation. Using Matlab's function will give biased values at the extremities of the pdf for circular data.

The kernel used in this function is a normal distribution with an automatically computed optimal standard deviation as presented in:
- Silverman B. W. (1998), Density Estimation for Statistics and Data Analysis, Chapman & Hall / CRC, Boca Raton (FL), 47-8.
- Bowman Adrian W. & Adelchi Azzalini (1997) - Applied Smoothing Techniques for Data Analysis, Oxford University Press, 31.
- Wand M. P. & M. C. Jones (1995) - Kernel Smoothing, Chapman & Hall, London, 60-3.

License: Shareware

Related: chapman, raton, bowman, adrian, Analysis, estimation, deviation, presented, silverman, density

O/S:BSD, Linux, Solaris, Mac OS X

File Size: 10.0 KB

Downloads: 4



More Similar Code

Bivariate Kamma Kernel Density Estimate
for large data set



'Performance Optimizations for XML Data Type in SQL Server Yukon' is a tutorial in which author describes about various method for modifying the XML datatype in the SQL server with the help of advanced technology. The author gives suggestion to...



A queue data structure, for string data only, which looks like a File object. This class takes care of the list.append and "".join mess, which is needed for fast string concatenation.



In some applications, it's advantageous to be able to define a circular data structure (a structure in which the last element is a pointer to the first). Python lists make it easy to make such a beast. A list is an ordered sequence of elements,...



References:

Fisher, N.I. and A.J. Lee (1983) A correlation coefficient for circular data. Biometrika Trust. 70(2):327-332
http://biomet.oxfordjournals.org/cgi/conte...stract/70/2/327

Fisher, N.I. (1996) Statistical...



Plots a radar (spider) chart for Multi-Data.

with changeable Label, LineColor, FillColor and LineStyle.



% Reliable and extremely fast kernel density estimator for one-dimensional data;
% Gaussian kernel is assumed and the bandwidth is chosen automatically;
% Unlike many other implementations, this one is immune to problems
% caused by...



Batch multivariate kernel density estimator from weighted data.
The submission includes a code for estimating a multivariate bandwidth ("getBandwidth.m") matrix for a Gaussian Kernel Density Estimator. The included demonstration...



OMSK (Object ModificationS Kernel) is a library for efficient access to distributed application-data. OMSK is written in PHP and is designed to be small, clean and simple.



I needed to use the cumulative normal distribution and normal probability density functions repeatedly for some data analysis. I found that I could speed things up drastically by using a lookup table and matplotlib's builtin interpolation function.

User Review for Kernel smoothing density estimate for circular data
- required fields
     

Please enter text on the image