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∂
L
∂
L
∂
Y
prediction error variance
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∂
L
∂
L
∂
Y
prediction error variance
MGAP CPT PredErrorVars PredErrorVars partial_Y
∂
L
∂
Y
prediction error variance from SOURCES: datos de MGAP SNIA prueba.
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overview
an outline showing sub-datasets of this dataset
grid: /L (8.25059224988386 meter radian-1 north year-2) ordered (2.5 8.25059224988386 meter radian-1 north year-2) to (4.5 8.25059224988386 meter radian-1 north year-2) by 8.6843246E-04 N= 2304 pts :grid
Datasets and variables
∂
L
∂
Y
prediction error variance
$partialdiff sub L$ $partialdiff sub Y$ [ MGAP CPT PredErrorVars ] [ X Y | S L]
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Ingrid:
HTMLwords
MGAP CPT[
hindcast_date
Forecast
InputObs
target_date
CrossValHind
PearsonR
CFSv2_AtlPac_sst
PredErrorVars
]
grid: /X (degree_east) ordered (59.75W) to (52.25W) by 0.5 N= 16 pts :grid
grid: /Y (degree_north) ordered (29.25S) to (35.75S) by 0.5 N= 14 pts :grid
grid: /S (months since 1960-01-01) ordered [ (0000 1 Sep 2012) (0000 1 Oct 2012) (0000 1 Nov 2012) (0000 1 Sep 2013) (0000 1 Oct 2013) (0000 1 Nov 2013)] :grid
grid: /L (months) ordered (2.5 months) to (4.5 months) by 1.0 N= 3 pts :grid
/==do0
/add_offset
0
SOURCES .MGAP .CPT PredErrorVars ngridtable Y differences Y partial L partial
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