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1
Shrinkage Estimation
Springer International Publishing
Dominique Fourdrinier
,
William E. Strawderman
,
Martin T. Wells
estimator
estimators
bayes
theorem
function
eθ
ϕ
estimation
lemma
exp
minimax
density
symmetric
risk
spherically
vector
distributions
stein
prior
generalized
δ0
differentiable
fourdrinier
positive
sect
shrinkage
strawderman
functions
unbiased
unknown
corollary
matrix
weakly
inequality
assume
suppose
exists
invariant
superharmonic
variance
2π
consider
stein’s
quadratic
multivariate
parameter
nondecreasing
linear
marginal
minimaxity
Year:
2018
Language:
english
File:
PDF, 3.44 MB
Your tags:
0
/
0
english, 2018
2
Restricted Parameter Space Estimation Problems: Admissibility and Minimaxity Properties (Lecture Notes in Statistics)
Constance van Eeden
estimator
minimax
estimators
parameter
µ1
mle
µ2
estimation
statist
function
θi
restricted
error
squared
parameters
µi
scale
dominators
risk
bounded
dominates
eeden
bayes
estimating
admissible
linear
θ1
pitman
δ1
admissibility
ordered
prior
theorem
ν1
unrestricted
authors
obtained
values
regression
inadmissible
dominator
exponential
singh
satisfy
restrictions
δ2
density
zidek
cases
misra
Year:
2006
Language:
english
File:
PDF, 1.14 MB
Your tags:
0
/
0
english, 2006
3
Stein Estimation
Springer
Yuzo Maruyama
,
Tatsuya Kubokawa
,
William E. Strawderman
exp
estimator
lemma
bayes
estimators
theorem
stein
dgdη
generalized
ki2
admissibility
2π
scale
estimation
lemmas
πi
admissible
equivariant
technical
appendix
dμ
proofs
prior
dθ
inequality
miscellaneous
dη
risk
unknown
strawderman
completes
maruyama
minimax
inadmissibility
minimaxity
assume
sect
vector
density
function
ϕ
δπ
multivariate
corresponding
statistics
μ̂i
θ̂i
corollary
suppose
fπ
Year:
2023
Language:
english
File:
PDF, 1.66 MB
Your tags:
0
/
4.0
english, 2023
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