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内部出版物
CNKI学位论文(14)
知网期刊论文(7)
在“
Elsevier电子期刊
”中,
命中:
16
条,耗时:0.0129949 秒
在所有数据库中总计命中:
21
条
1.
Estimating the Area Under
ROC
Curve When the Fitted
Binormal
Curves Demonstrate Improper Shape
作者:
Andriy I. Bandos
;
PhD
a
;
anb61@pitt.edu
;
Ben Guo
;
MS
a
;
David Gur
;
ScD
b
关键词:
Binormal
ROC
;
improper shape
;
PROP
ROC
;
AUC estimation
;
statistical properties
刊名:Academic Radiology
出版年:2017
2.
ROC
Curve for Extremely Subtle Lung Nodules on Chest Radiographs Confirmed by CT Scan
作者:
Hua Shang
;
MD
1
;
Yulei Jiang
;
PhD
;
yjiang@uchicago.edu" class="auth_mail" title="E-mail the corresponding author
;
Feng Li
;
MD
;
PhD
;
Heber MacMahon
;
MB
;
BCh
;
Jianing Wang
;
MS
关键词:
Receiver operating characteristic (
ROC
) analysis
;
observer performance
;
extremely subtle abnormality
;
ideal observer
;
human observer
刊名:Academic Radiology
出版年:2016
3.
Modelling receiver operating characteristic curves using Gaussian mixtures
作者:
Amay S.M. Cheam
;
cheamas@math.mcmaster.ca" class="auth_mail" title="E-mail the corresponding author
;
Paul D. McNicholas
mcnicholas@math.mcmaster.ca" class="auth_mail" title="E-mail the corresponding author
关键词:
Binormal
curve
;
EM algorithm
;
Gaussian mixture distributions
;
LAB
ROC
;
Mixture models
;
Monte Carlo method
;
ROC
curve
刊名:Computational Statistics & Data Analysis
出版年:2016
4.
Estimating sea bottom shapes for grounding damage calculations
作者:
Otto-Ville Edvard Sormunen
a
;
otto.sormunen@aalto.fi" class="auth_mail" title="E-mail the corresponding author
;
Antti Castré
;
n
b
;
Jani Romanoff
a
;
Pentti Kujala
a
关键词:
Groundings
;
Ship damage
;
Sea bottom shape
;
Gulf of Finland
刊名:Marine Structures
出版年:2016
5.
Staging of fibrosis in experimental non-alcoholic steatohepatitis by quantitative molecular imaging in rat models
作者:
Bernd Schnabl
a
;
Salman Farshchi-Heydari
b
;
Rohit Loomba
a
;
Robert F. Mattrey
b
;
c
;
d
;
Carl K. Hoh
b
;
c
;
d
;
Claude B. Sirlin
b
;
c
;
d
;
David A. Brenner
a
;
Cynthia A. Behling
e
;
David R. Vera
b
;
c
;
d
;
f
;
dvera@ucsd.edu" class="auth_mail" title="E-mail the corresponding author
关键词:
CDAA
;
choline-deficient L-amino acid-defined
;
CSAA
;
choline-supplemented L-amino acid-defined
;
DEN
;
N-diethylnitrosamine
;
FPF
;
false-positive fraction
;
GSA
;
Galactosyl human serum albumin
;
NAFLD
;
non-alcoholic fatty liver disease
;
NASH
;
non-alcoholic steatohepatitis
;
PET
;
positron-emission tomography
;
TAC
;
time&ndash
;
activity curve
;
TPF
;
true-positive fraction
刊名:Nuclear Medicine and Biology
出版年:2016
6.
Improving an estimator of Hsieh and Turnbull for the
binormal
ROC
curve
作者:
Ori Davidov
1
;
Yuval Nov
1
;
yuval@stat.haifa.ac.il
关键词:
Binormal
model
;
Functional delta method
;
ODC curve
;
ROC
curve
;
Semiparametric inference
刊名:Journal of Statistical Planning and Inference
出版年:2012
7.
Multivariate
binormal
mixtures for semi-parametric inference on
ROC
curves
作者:
Sarat C.
;
Dass
a
;
Seong W.
;
Kim
b
;
;
seong125@gmail.com
;
;
seong@hanyang.ac.kr
关键词:
Bayesian computation
;
Group invariance
;
Mixture models
;
Semi-parametric inference
刊名:Journal of the Korean Statistical Society
出版年:2011
8.
Low predictive value of seroprevalence of Toxoplasma gondii in cattle for detection of parasite DNA
作者:
Marieke Opsteegh
a
;
b
;
marieke.opsteegh@rivm.nl
;
Peter Teunis
a
;
c
;
Lothar Zü
;
chner
d
;
Ad Koets
e
;
Merel Langelaar
a
;
Joke van der Giessen
a
关键词:
Toxoplasma gondii
;
Seroprevalence
;
Cattle
;
Binormal
mixture model
;
Sensitivity and specificity
;
ROC
-curve analysis
;
PCR
;
Public health
刊名:International Journal for Parasitology
出版年:2011
9.
Bayesian
ROC
curve estimation under
binormal
ity using a rank likelihood
作者:
Jiezhun Gu
;
Subhashis Ghosal
关键词:
Binormal
model
;
MCMC
;
Rank-based likelihood
;
ROC
curve
;
Posterior consistency
刊名:Journal of Statistical Planning and Inference
出版年:2009
10.
Statistical and Thurstonian models for the A-not A protocol with and without sureness
作者:
Rune Haubo Bojesen Christensen
a
;
rhbc@imm.dtu.dk"" rel=""nofollow
;
Graham Cleaver
b
;
Per Bruun B
roc
khoff
a
关键词:
Thurstonian models
;
Cumulative link models
;
Signal detection theory
;
ROC
curves
;
R-program
;
Ordinal regression models
刊名:Food Quality and Preference
出版年:2011
1
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