5.00
Gauss Markov
Jun 17, 2017
Jan 1, 1970(56y)
Jan 1, 2027(208d)
Combat
Kills176
Losses53
Efficiency77%
ISK
Destroyed55.53b
Lost23.54b
ISK Eff.70%
Solo
Solo Kills31
Solo Ratio18%
Final Blows57
Points176
Other
NPC Losses12
NPC Loss Ratio23%
Avg Kills/Day0.01
ActivityInactive
Minmatar
Brutor
5.00
Gauss Markov
Last Active
Jun 17, 2017
Birthday
Jan 1, 1970 (56 years old)
Next Birthday
Jan 1, 2027 (208 days)
Combat
Kills176
Losses53
Efficiency77%
Danger Ratio77%
ISK
Destroyed55.53b
Lost23.54b
ISK Efficiency70%
Balance+31.99b
Solo
Solo Kills31
Solo Ratio18%
Final Blows57
Points176
Other
NPC Losses12
NPC Loss Ratio23%
Avg Kills/Day0.01
ActivityInactive
No data available
Bio
Under the assumptions of the normal regression model, the ordinary least squares (OLS) coefficient estimators are unbiased and consistent. Also, among possible estimators that are unbiased and that are defined as linear combinations of the observed Y values, the OLS estimators have the smallest variance. Technically, the OLS estimators are the "best linear unbiased estimators" for the regression coefficients. This result is known as the Gauss-Markov Theorem, and it contributes to the high regard in which OLS is held.
Dashboard
Stats
Kills0
Losses0
Efficiency0%
ISK Destroyed0
ISK Lost0
ISK Efficiency0%
Solo Kills0
Solo Losses0
NPC Losses0
Blob Factor0
Active TimezoneUSTZ
Final Blows0
Points0
Activity Heat Map (EVE Time)
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Intel Profile
PlaystyleSolo (0 kills)
Avg Fleet: -