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1
Design of Experiments in Nonlinear Models: Asymptotic Normality, Optimality Criteria and Small-Sample Properties
Springer-Verlag New York
Luc Pronzato
,
Andrej Pázman (auth.)
θ̄
optimal
estimator
theorem
function
asymptotic
sect
criterion
optimality
criteria
optimum
θ0
matrix
consider
estimation
models
θ̂ls
linear
ξk
designs
regression
lemma
θ̂n
nonlinear
θ̂
algorithm
obtained
φmmo
observations
probability
estimability
defined
differentiable
dθ
gθ
convergence
variance
suppose
eη
finite
β̄
concave
δx
method
fφ
pronzato
step
denote
pázman
maximum
Year:
2013
Language:
english
File:
PDF, 4.77 MB
Your tags:
0
/
0
english, 2013
2
Collecting Spatial Data: Optimum Design of Experiments for Random Fields
Springer-Verlag Berlin Heidelberg
Univ. Prof. Dr. Werner G. Müller (auth.)
designs
optimum
estimation
regression
function
matrix
variogram
statistics
optimal
criterion
ξn
η̇
müller
algorithm
statistical
linear
fedorov
observations
sξ
parameters
sampling
covariance
parameter
experimental
models
random
figure
methods
correlated
journal
analysis
optimality
trend
prediction
ξα
corresponding
approximate
dependence
criteria
experiments
variance
approach
kriging
algorithms
w.g
appendix
matrices
optimization
pázman
response
Year:
2007
Language:
english
File:
PDF, 2.24 MB
Your tags:
0
/
0
english, 2007
3
Collecting spatial data: Optimum design of experiments for random fields
Springer
Werner G. Müller
designs
optimum
estimation
regression
function
matrix
variogram
statistics
optimal
criterion
ξn
η̇
müller
algorithm
statistical
linear
fedorov
observations
sξ
parameters
sampling
covariance
parameter
experimental
models
random
figure
methods
correlated
journal
analysis
optimality
trend
prediction
ξα
corresponding
approximate
dependence
criteria
experiments
variance
approach
kriging
algorithms
w.g
appendix
matrices
optimization
pázman
response
Year:
2007
Language:
english
File:
PDF, 2.05 MB
Your tags:
0
/
0
english, 2007
4
Collecting Spatial Data. Optimum Design of Experiments for Random Fields
Springer
Werner G. Müller
designs
optimum
estimation
regression
function
matrix
variogram
statistics
optimal
criterion
ξn
η̇
müller
algorithm
statistical
linear
observations
sξ
fedorov
parameters
sampling
covariance
parameter
experimental
models
random
figure
methods
correlated
journal
analysis
optimality
trend
prediction
ξα
corresponding
approximate
dependence
criteria
experiments
variance
approach
kriging
algorithms
appendix
matrices
optimization
response
values
w.g
Year:
2007
Language:
english
File:
PDF, 1.97 MB
Your tags:
0
/
0
english, 2007
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