Statistical micro matching using a multinomial logistic regression model for categorical data

( Kangmin Kim ) , ( Mingue Park )  한국통계학회, CSAM(Communications for Statistical Applications and Methods) [2019] 제26권 제5호, 507~517페이지(총11페이지)

TAG statistical matching, multinomial logistic regression model, conditional independence assumption, auxiliary information

Note on response dimension reduction for multivariate regression

( Jae Keun Yoo )  한국통계학회, CSAM(Communications for Statistical Applications and Methods) [2019] 제26권 제5호, 519~526페이지(총8페이지)

TAG conditional mean, multivariate regression, response dimension reduction, semi-parametric model, sufficient dimension reduction

Nonnegative estimates of variance components in a two-way random model

( Jaesung Choi )  한국통계학회, CSAM(Communications for Statistical Applications and Methods) [2019] 제26권 제4호, 337~346페이지(총10페이지)

TAG projections, random effects, vector space, quadratic forms, synthesis

An improved estimation procedure of population mean using bivariate auxiliary information under non-response

( Shashi Bhushan ) , ( Abhay Pratap Pandey )  한국통계학회, CSAM(Communications for Statistical Applications and Methods) [2019] 제26권 제4호, 347~357페이지(총11페이지)

TAG auxiliary information, non-response, mean square error

A numerical study on group quantile regression models

( Doyoen Kim ) , ( Yoonsuh Jung )  한국통계학회, CSAM(Communications for Statistical Applications and Methods) [2019] 제26권 제4호, 359~370페이지(총12페이지)

TAG group penalty, penalized quantile regression, variable selection

Restricted maximum likelihood estimation of a censored random effects panel regression model

( Minah Lee ) , ( Seung-chun Lee )  한국통계학회, CSAM(Communications for Statistical Applications and Methods) [2019] 제26권 제4호, 371~383페이지(총13페이지)

TAG restricted maximum likelihood, censored dependent variable, panel regression

Classical and Bayesian studies for a new lifetime model in presence of type-II censoring

( Teena Goyal ) , ( Piyush K Rai ) , ( Sandeep K Maurya )  한국통계학회, CSAM(Communications for Statistical Applications and Methods) [2019] 제26권 제4호, 385~410페이지(총26페이지)

TAG LTE distribution, Gibbs sampler, M-H algorithm, Bootstrap confidence interval, HPD interval

Iterative integrated imputation for missing data and pathway models with applications to breast cancer subtypes

( Henry Linder ) , ( Yuping Zhang )  한국통계학회, CSAM(Communications for Statistical Applications and Methods) [2019] 제26권 제4호, 411~430페이지(총20페이지)

TAG imputation, multi-platform data integration, tumor subtypes, pathway analysis

The transmuted GEV distribution: properties and application

( Cira E. G. Otiniano ) , ( Bianca S. De Paiva ) , ( Daniele S. B. Martins Netob )  한국통계학회, CSAM(Communications for Statistical Applications and Methods) [2019] 제26권 제3호, 239~259페이지(총21페이지)

TAG TGEV, moments, extreme events, MLEs

Interval prediction on the sum of binary random variables indexed by a graph

( Seongoh Parka ) , ( Kyu S. Hahnb ) , ( Johan Lima ) , ( Won Son )  한국통계학회, CSAM(Communications for Statistical Applications and Methods) [2019] 제26권 제3호, 261~272페이지(총12페이지)

TAG binary sum, exit poll, graph indexed variables, Korea National Assembly election, prediction interval, residual bootstrap, spatial auto-regressive model

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