Homoscedasticity: Statistics, Sequence, Random variable, Variance, Heteroscedasticity, Gauss–Markov theorem, Pattern recognition, Linear discriminant analysis - Brossura

 
9786132720528: Homoscedasticity: Statistics, Sequence, Random variable, Variance, Heteroscedasticity, Gauss–Markov theorem, Pattern recognition, Linear discriminant analysis
Brossura
ISBN 10: 6132720529 ISBN 13: 9786132720528
Casa editrice: Alphascript Publishing, 2010

Sinossi

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In statistics, a sequence or a vector of random variables is homoscedastic if all random variables in the sequence or vector have the same finite variance. This is also known as homogeneity of variance. The complementary notion is called heteroscedasticity. The alternative spelling homoskedasticity or heteroskedasticity is also used frequently. The assumption of homoscedasticity simplifies mathematical and computational treatment. Serious violations in homoscedasticity result in overestimating the goodness of fit as measured by the Pearson coefficient

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Editore
Alphascript Publishing
Data di pubblicazione
2010
Lingua
Inglese
ISBN 10 
6132720529
ISBN 13 
9786132720528
Rilegatura
Copertina flessibile
Numero di pagine
72
Redattore
Miller Frederic P., Vandome Agnes F., McBrewster John
Contatto del produttore
non disponibile
Persona responsabile
non disponibile