设为首页
收藏本站
网站地图
|
English
|
公务邮箱
About the library
Background
History
Leadership
Organization
Readers' Guide
Opening Hours
Collections
Help Via Email
Publications
Electronic Information Resources
常用资源
电子图书
期刊论文
学位会议
外文资源
特色专题
内部出版物
中国地质文献-英文(76)
SpringerLink电子期刊(5095)
GSW全文库(183)
Wiley电子期刊(131)
ProQuest学位论文(576)
Elsevier电子期刊(8032)
Springer电子图书(1)
NATURE电子期刊(15)
ACS电子期刊(202)
在“
Elsevier电子期刊
”中,
命中:
8,032
条,耗时:0.0959878 秒
在所有数据库中总计命中:
14,311
条
1.
A new class of defective models based on the Marshall-Olkin family of
distribution
s for cure rate modeling
作者:
Ricardo Rocha
a
;
ricardorocha23@hotmail.com
;
Saralees Nadarajah
b
;
Vera Tomazella
a
;
Francisco Louzada
c
关键词:
Defective
distribution
s
;
Extended Weibull
distribution
;
Long-term survivors
;
Regression
modeling
;
Survival analysis
刊名:Computational Statistics & Data Analysis
出版年:2017
2.
Pairing support vector algorithm for data
regression
作者:
Pei-Yi Hao
;
haupy@cc.kuas.edu.tw
Author Vitae
关键词:
Support vector
regression
;
Twin support vector
regression
;
Noise heteroscedastic model
;
Parametric insensitive model
;
Nonparallel functions
;
Sparse
regression
刊名:Neurocomputing
出版年:2017
3.
Accurate
distribution
s of Mallows’ and its unbiased modifications with applications to shrinkage estimation
作者:
Haruhiko Ogasawara
hogasa@res.otaru-uc.ac.jp
关键词:
Model selection
;
Bias
;
Mean square error
;
Multivariate
regression
;
Noncentral FF
distribution
;
Inverse Wishart
distribution
刊名:Journal of Statistical Planning and Inference
出版年:2017
4.
Composite quantile
regression
for correlated data
作者:
Weihua Zhao
a
;
Heng Lian
b
;
henglian@cityu.edu.hk
;
Xinyuan Song
c
关键词:
Composite quantile
regression
;
Longitudinal data
;
Quadratic inference function
;
Weighted composite quantile
regression
刊名:Computational Statistics & Data Analysis
出版年:2017
5.
Structured additive
distribution
al
regression
for analysing landings per unit effort in fisheries research
作者:
Valeria Mamouridis
a
;
mamouridis@icm.csic.es
;
valeria.mamouridis@gmail.com
;
Nadja Klein
b
;
Thomas Kneib
b
;
Carmen Cadarso Suarez
c
;
Francesc Maynou
a
关键词:
Landings per unit effort
;
Red shrimp fishery
;
North Atlantic Oscillation
;
North-Western Mediterranean
;
Generalised additive models for location
;
Scale and shape
;
Mixed models
;
Markov chain Monte Carlo simulation
刊名:Mathematical Biosciences
出版年:2017
6.
Bayesian quantile
regression
using random B-spline series prior
作者:
Priyam Das
a
;
b
;
pdas@ncsu.edu
;
Subhashis Ghosal
a
关键词:
B-spline prior
;
Gaussian process
;
Quantile
regression
;
Atlantic Hurricane data
;
US population data
刊名:Computational Statistics & Data Analysis
出版年:2017
7.
Development of nuclear forensic models using kernel
regression
作者:
Kyungho Jin
a
;
Seungmin Lee
b
;
Sanghwa Lee
a
;
Gyunyoung Heo
a
;
gheo@khu.ac.kr
关键词:
Nuclear forensic
;
Spent fuel data
;
Inferential & auto-associative kernel
regression
刊名:Progress in Nuclear Energy
出版年:2017
8.
Relation of red blood cell
distribution
width with CHADS
2
and CHA
2
DS
2
-VASc score in Chinese patients with non-valvular atrial fibrillation
作者:
Tong Liu
a
;
liutongdoc@126.com
;
Qingmiao Shao
a
;
Panagiotis Korantzopoulos
b
;
Shuai Miao
a
;
Zhiwei Zhang
a
;
Gang Xu
a
;
Ruyu Yuan
a
;
Guangping Li
a
关键词:
Atrial fibrillation
;
Red blood cell
distribution
width
;
CHADS2
;
CHA2DS2-VASc
刊名:International Journal of Cardiology
出版年:2017
9.
An SVM-like approach for expectile
regression
作者:
Muhammad Farooq
;
muhammad.farooq@mathematik.uni-stuttgart.de
;
Ingo Steinwart
ingo.steinwart@mathematik.uni-stuttgart.de
关键词:
Asymmetric least square loss
;
Expectile
regression
;
Support vector machines
刊名:Computational Statistics & Data Analysis
出版年:2017
10.
Regression
-based three-way recommendation
作者:
Heng-Ru Zhang
a
;
Fan Min
;
a
;
minfanphd@163.com" class="auth_mail" title="E-mail the corresponding author
;
Bing Shi
b
关键词:
Granular computing
;
Numerical prediction
;
Promotion cost
;
Regression
;
Three-way decision
刊名:Information Sciences
出版年:2017
1
2
3
4
5
6
7
8
9
按检索点细分(8032)
题名(140)
关键词(339)
文摘(7145)
NGLC 2004-2010.National Geological Library of China All Rights Reserved.
Add:29 Xueyuan Rd,Haidian District,Beijing,PRC. Mail Add: 8324 mailbox 100083
For exchange or info please contact us via
email
.