Contributions to Probability and Statistics: Applications and Challenges
Latest Publications

TOTAL DOCUMENTS

(FIVE YEARS 0)

H-INDEX

(FIVE YEARS 0)

Published By WORLD SCIENTIFIC

9789812703910, 9789812772466

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Fiducial Inference of Means and Variances from Normal Populations under Order Restrictions

Contributions to Probability and Statistics: Applications and Challenges ◽

10.1142/9789812772466_0016 ◽

2006 ◽

Author(s):

Baoxue Zhang ◽

Xingzhong Xu ◽

Xin Li

Keyword(s):

Order Restrictions ◽

Fiducial Inference ◽

Normal Populations

Bootstrapping in Clustered Populations

Contributions to Probability and Statistics: Applications and Challenges ◽

10.1142/9789812772466_0026 ◽

2006 ◽

Author(s):

Alan H. Welsh

On the Problem of Discriminating between the Tails of Distributions

Contributions to Probability and Statistics: Applications and Challenges ◽

10.1142/9789812772466_0019 ◽

2006 ◽

Author(s):

Chris C. Heyde ◽

Khanhav Au

Small-Sample Performance of Robust Methods in Logistic Regression

Contributions to Probability and Statistics: Applications and Challenges ◽

10.1142/9789812772466_0012 ◽

2006 ◽

Author(s):

Suraiya Nargis ◽

Alice Richardson

Keyword(s):

Logistic Regression ◽

Small Sample ◽

Robust Methods

A Necessary Condition for Admissibility of Nonnegative Quadratic Estimators of Variance Components when the Moments are not Necessarily as under Normality

Contributions to Probability and Statistics: Applications and Challenges ◽

10.1142/9789812772466_0011 ◽

2006 ◽

Author(s):

Chang-Yu Lu ◽

Yu Gao ◽

Binyan Zhang

Keyword(s):

Variance Components ◽

Necessary Condition

Mining Multiple Models

Contributions to Probability and Statistics: Applications and Challenges ◽

10.1142/9789812772466_0022 ◽

2006 ◽

Author(s):

Graham J. Williams

Keyword(s):

Multiple Models

On the Linear Aggregation Problem in the General Gauss-Markov Model

Contributions to Probability and Statistics: Applications and Challenges ◽

10.1142/9789812772466_0027 ◽

2006 ◽

Author(s):

Hans Joachim Werner

Keyword(s):

Markov Model ◽

Aggregation Problem ◽

Linear Aggregation

Estimating Internet Access for Welfare Recipients in Australia

Contributions to Probability and Statistics: Applications and Challenges ◽

10.1142/9789812772466_0001 ◽

2006 ◽

Author(s):

Anne Daly ◽

Rachel Lloyd

Keyword(s):

Internet Access ◽

Welfare Recipients

Two Classification Methods of Individuals for Educational Data and an Application

Contributions to Probability and Statistics: Applications and Challenges ◽

10.1142/9789812772466_0002 ◽

2006 ◽

Cited By ~ 1

Author(s):

Atsuhiro Hayashi

Keyword(s):

Classification Methods

On Influence Diagnostics in Multivariate Regression Models under Elliptical Distributions

Contributions to Probability and Statistics: Applications and Challenges ◽

10.1142/9789812772466_0010 ◽

2006 ◽

Author(s):

Shuangzhe Liu

Keyword(s):

Multivariate Regression ◽

Regression Models ◽

Elliptical Distributions ◽

Influence Diagnostics

Contributions to Probability and Statistics: Applications and ChallengesLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By WORLD SCIENTIFIC

Fiducial Inference of Means and Variances from Normal Populations under Order Restrictions

Bootstrapping in Clustered Populations

On the Problem of Discriminating between the Tails of Distributions

Small-Sample Performance of Robust Methods in Logistic Regression

A Necessary Condition for Admissibility of Nonnegative Quadratic Estimators of Variance Components when the Moments are not Necessarily as under Normality

Mining Multiple Models

On the Linear Aggregation Problem in the General Gauss-Markov Model

Estimating Internet Access for Welfare Recipients in Australia

Two Classification Methods of Individuals for Educational Data and an Application

On Influence Diagnostics in Multivariate Regression Models under Elliptical Distributions

Contributions to Probability and Statistics: Applications and Challenges
Latest Publications