GYMCAN.ORG Estimated Value $599,585

Monday, September 6, 2010

Site Analysis of gymcan.org (visit)
Estimated value: $599,585
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Meta information

Server IP 208.113.57.97

Server information

Server Location Canada - CA , CAN
Region: ON , Ontario
City: Toronto
Postal code: m5j2l6
Latitude: 43.6667 , Longitude: -79.4168
Metro code: Area code:
Server Location on the Map:

Alexa Traffic Rank 2,012,437
Archive of the website
See how this website looked in the past Link to the archive of the site

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Subdomains of the current Website

DMOZ Categories

+1">Open Directory Categories (1-3 of 3)

Sports: Gymnastics: Artistic: Regional: Canada (1 match)

World: Français: Sports: Artistiques: Gymnastique: Organisations (1)

World: Français: Régional: Amérique: Canada: Sports et loisirs: Sports: Artistiques: Gymnastique (1)

Open Directory Sites (1-3 of 3)

Gymnastics Canada - Offering news, program updates, event information.
-- http://www.gymcan.org/ Sports: Gymnastics: Artistic: Regional: Canada (1)

Gymnastique Canada - est l’organisme de régie responsable pour le développement et la promotion de la gymnastique au Canada. Présentation, résultats, activités, actualités, liens.
-- http://www.gymcan.org/ World: Français: Sports: Artistiques: Gymnastique: Organisations (1)

Gymnastique Canada - Est l’organisme de régie responsable pour le développement et la promotion de la gymnastique au Canada. Présentation, résultats, activités, actua

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Estimation process
The entire purpose of estimation theory is to arrive at an estimator, and preferably an implementable one that could actually be used. The estimator takes the measured data as input and produces an estimate of the parameters. It is also preferable to derive an estimator that exhibits optimality. Estimator optimality usually refers to achieving minimum average error over some class of estimators, for example, a minimum variance unbiased estimator. In this case, the class is the set of unbiased estimators, and the average error measure is variance (average squared error between the value of the estimate and the parameter). However, optimal estimators do not always exist.

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