Journal of the Korean Statistical Society

Journal Article

Construction of trend-free optimal block designs under some correlation structures

Fakhari-Esferizi, Akram; Khodsiani, Razieh

2024 Journal of the Korean Statistical Society

In many block experiments where the treatments are applied to the experimental units sequentially over time or space, there may be a systematic trend effect that influences the observations in addition to the block and the treatment effects. In some previous literature, optimality of block...

LitStream

Journal Article

Implementation of the sequential optimal design strategy in Type-II progressive censoring with the GLM-based mechanism

Darzi, Fatemeh Hassantabar; Haghighi, Firoozeh; Mahabadi, Samaneh Eftekhari

2024 Journal of the Korean Statistical Society

doi:10.1007/s42952-024-00266-3

Single-objective optimal designs might be criticized for not covering all aspects of the experiment when the experiment possesses multiple goals. In such a case, multi-objective optimal design is of interest. This paper adopts a sequential approach to obtain a multi-objective optimal design for...

LitStream

Journal Article

Correction: Disseminating massive frequency tables by masking aggregated cell frequencies

Park, Min-Jeong; Kim, Hang J.; Kwon, Sunghoon

2024 Journal of the Korean Statistical Society

doi:10.1007/s42952-024-00267-2

Open Access

Journal Article

Nonparametric tests for combined location-scale and Lehmann alternatives using adaptive approach and max-type metric

Funato, Mika; Murakami, Hidetoshi; Kössler, Wolfgang; Mukherjee, Amitava

2024 Journal of the Korean Statistical Society

doi:10.1007/s42952-024-00262-7

The paper deals with the classical two-sample problem for the combined location-scale and Lehmann alternatives, known as the versatile alternative. Recently, a combination of the square of the standardized Wilcoxon, the standardized Ansari–Bradley and the standardized Anti-Savage statistics based...

LitStream

Journal Article

Penalized empirical likelihood for longitudinal expectile regression with growing dimensional data

Zhang, Ting; Wang, Yanan; Wang, Lei

2024 Journal of the Korean Statistical Society

doi:10.1007/s42952-024-00265-4

Expectile regression (ER) naturally extends the classical least squares to investigate heterogeneous effects of covariates on the distribution of the response variable. In this paper, we propose a penalized empirical likelihood (PEL) based ER estimator, which incorporates quadratic inference...

Open Access

Journal Article

Double data piling: a high-dimensional solution for asymptotically perfect multi-category classification

Kim, Taehyun; Chang, Woonyoung; Ahn, Jeongyoun; Jung, Sungkyu

2024 Journal of the Korean Statistical Society

doi:10.1007/s42952-024-00263-6

For high-dimensional classification, interpolation of training data manifests as the data piling phenomenon, in which linear projections of data vectors from each class collapse to a single value. Recent research has revealed an additional phenomenon known as the ‘second data piling’ for...

Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Journal of the Korean Statistical Society

Related Journals:

Advanced Search

Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Journal of the Korean Statistical Society

Related Journals:

Our policy towards the use of cookies