Rakhi Singh

About Rakhi Singh

Rakhi Singh, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at University of North Carolina at Greensboro, specializes in the field of Design Of Experiments, Combinatorics, Subdata selection.

His recent articles reflect a diverse array of research interests and contributions to the field:

Factor selection in screening experiments by aggregation over random models

Pareto-efficient designs for multi-and mixed-level supersaturated designs

Best practices for multi-and mixed-level supersaturated designs

Subdata Selection With a Large Number of Variables

Selection of Two-Level Supersaturated Designs for Main Effects Models

Connected Row–Column L-Designs for Symmetrical Parallel Line Assays with Two Preparations

On optimal fMRI designs for correlated errors

A-optimal designs under a linearized model for discrete choice experiments

Rakhi Singh Information

University

Position

___

Citations(all)

162

Citations(since 2020)

112

Cited By

50

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

4

i10Index(since 2020)

3

Email

University Profile Page

Google Scholar

Rakhi Singh Skills & Research Interests

Design Of Experiments

Combinatorics

Subdata selection

Top articles of Rakhi Singh

Factor selection in screening experiments by aggregation over random models

Computational Statistics & Data Analysis

2024/2/24

Rakhi Singh
Rakhi Singh

H-Index: 4

John Stufken
John Stufken

H-Index: 12

Pareto-efficient designs for multi-and mixed-level supersaturated designs

Statistics and Computing

2024/2

Rakhi Singh
Rakhi Singh

H-Index: 4

Best practices for multi-and mixed-level supersaturated designs

Journal of Quality Technology

2023/9/14

Rakhi Singh
Rakhi Singh

H-Index: 4

Subdata Selection With a Large Number of Variables

The New England Journal of Statistics in Data Science

2023/6/15

Rakhi Singh
Rakhi Singh

H-Index: 4

John Stufken
John Stufken

H-Index: 12

Selection of Two-Level Supersaturated Designs for Main Effects Models

Technometrics

2023/1/2

Rakhi Singh
Rakhi Singh

H-Index: 4

John Stufken
John Stufken

H-Index: 12

Connected Row–Column L-Designs for Symmetrical Parallel Line Assays with Two Preparations

Journal of Statistical Theory and Practice

2021/12

Rakhi Singh
Rakhi Singh

H-Index: 4

John Stufken
John Stufken

H-Index: 12

On optimal fMRI designs for correlated errors

Journal of Statistical Planning and Inference

2021/5

Rakhi Singh
Rakhi Singh

H-Index: 4

John Stufken
John Stufken

H-Index: 12

A-optimal designs under a linearized model for discrete choice experiments

Metrika

2021/5

Efficient crossover designs for non-regular settings

Metrika

2021/5

Rakhi Singh
Rakhi Singh

H-Index: 4

Efficient orthogonal functional magnetic resonance imaging designs in the presence of drift

Statistical Methods in Medical Research

2021/1

Rakhi Singh
Rakhi Singh

H-Index: 4

John Stufken
John Stufken

H-Index: 12

SUE (s2)-optimal supersaturated designs

Statistics & Probability Letters

2020/3/1

Discrete choice experiments—A unified approach

Journal of Statistical Planning and Inference

2020/3/1

Ashish Das
Ashish Das

H-Index: 13

Rakhi Singh
Rakhi Singh

H-Index: 4

Discriminating Between Superior UE (s^ 2)-optimal Supersaturated Designs

Statistics and applications

2020/1

See List of Professors in Rakhi Singh University(University of North Carolina at Greensboro)