Changes between Version 3 and Version 4 of OfficialTolArchiveNetworkGrzLinModel

Timestamp:

Mar 29, 2011, 2:13:06 PM (14 years ago)

Author:

Víctor de Buen Remiro

Comment:

--

OfficialTolArchiveNetworkGrzLinModel

@@ -9 +9 @@
 
 Abstract class 
-[source:/tolp/OfficialTolArchiveNetwork/GrzLinModel/WgtReg.tol @WgtReg] 
+[source:/tolp/OfficialTolArchiveNetwork/GrzLinModel/WgtReg.tol GrzLinModel::@WgtReg] 
 is the base to inherit weighted generalized linear regressions as poisson, 
 binomial, normal or any other, given just the scalar link 
 function [[LatexEquation( g )]] and the density function [[LatexEquation( f )]]. 
-
-For boolean and qualitative response outputs like logit or probit there is an 
-specialization on package [wiki:OfficialTolArchiveNetworkQltvRespModel QltvRespModel]
 
 In a weighted regression each row of input data has a distinct weight in the 
@@ -45 +42 @@
 
 for each row [[LatexEquation( k=1 \dots  n)]]:
-
-If there are more unknown parameters about the density we will supose 
-  
-
+ 
 === Weighted Normal Regresion ===
 
-
+Is implemented in [source:/tolp/OfficialTolArchiveNetwork/GrzLinModel/WgtNormal.tol GrzLinModel::@WgtNormal] 
+There is a sample of use in [source:/tolp/OfficialTolArchiveNetwork/GrzLinModel/test/test_0001/test.tol test_0001/test.tol]
 
 === Weighted Poisson Regresion ===
+
+Is implemented in [source:/tolp/OfficialTolArchiveNetwork/GrzLinModel/WgtPoisson.tol GrzLinModel::@WgtPoisson] 
+
+=== Weighted Qualitative Regresion ===
+
+For boolean and qualitative response outputs like logit or probit there is an 
+specialization on package [wiki:OfficialTolArchiveNetworkQltvRespModel QltvRespModel]