J. N. K. Rao

J. N. K. Rao

Carleton University

H-index: 71

North America-Canada

About J. N. K. Rao

J. N. K. Rao, With an exceptional h-index of 71 and a recent h-index of 36 (since 2020), a distinguished researcher at Carleton University, specializes in the field of statistcs, survey sampling.

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

Historical Overview of Small Area Estimation in the 50th Birthday of the IASS

Acknowledgment to the Reviewers of Stats in 2022

Estimation of Poverty Measures for Small Areas Under a Two-fold Nested Error Linear Regression Model: Comparison of Two Methods

Bayesian predictive inference when integrating a non-probability sample and a probability sample

Hypotheses testing from complex survey data using bootstrap weights: A unified approach

Some Memorable Recollections of IASS First Meeting

Pseudo empirical likelihood inference for nonprobability survey samples

Analysis of clustered survey data based on two-stage informative sampling and associated two-level models

J. N. K. Rao Information

University

Position

___

Citations(all)

28825

Citations(since 2020)

6699

Cited By

26574

hIndex(all)

71

hIndex(since 2020)

36

i10Index(all)

228

i10Index(since 2020)

105

Email

University Profile Page

Carleton University

Google Scholar

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J. N. K. Rao Skills & Research Interests

statistcs

survey sampling

Top articles of J. N. K. Rao

Title

Journal

Author(s)

Publication Date

Historical Overview of Small Area Estimation in the 50th Birthday of the IASS

Isabel Molina

JNK Rao

2023

Acknowledgment to the Reviewers of Stats in 2022

Airlane Alencar

Cristiano Ferraz

Alexander Robitzsch

Daniel Rodriguez

Alfio Marazzi

...

2023

Estimation of Poverty Measures for Small Areas Under a Two-fold Nested Error Linear Regression Model: Comparison of Two Methods

Calcutta Statistical Association Bulletin

Maryam Sohrabi

JNK Rao

2023/6/8

Bayesian predictive inference when integrating a non-probability sample and a probability sample

Balgobin Nandram

J. N. K. Rao

2023/5/15

Hypotheses testing from complex survey data using bootstrap weights: A unified approach

Journal of the American Statistical Association

Jae Kwang Kim

JNK Rao

Zhonglei Wang

2023/4/3

Some Memorable Recollections of IASS First Meeting

The Survey Statistician

JNK Rao

2023

Pseudo empirical likelihood inference for nonprobability survey samples

Canadian Journal of Statistics

Yilin Chen

Pengfei Li

JNK Rao

Changbao Wu

2022/12

Analysis of clustered survey data based on two-stage informative sampling and associated two-level models

Journal of the Royal Statistical Society Series A: Statistics in Society

Jae Kwang Kim

JNK Rao

Yonghyun Kwon

2022/10

Selection of auxiliary variables for three-fold linking models in small area estimation: a simple and effective method

Stats

Song Cai

JNK Rao

2022/2/5

Pitfalls of making inferences from non-probability samples: Can data integration through probability samples provide remedies

The Survey Statistician

Jean-Francois Beaumont

JNK Rao

2021

Variable selection for longitudinal survey data

arXiv preprint arXiv:2105.00504

Laura Dumitrescu

Wei Qian

JNK Rao

2021/5/2

A weighted composite likelihood approach to inference from clustered survey data under a two-level model

Sankhya A

Laura Dumitrescu

Wei Qian

JNK Rao

2021

On making valid inferences by integrating data from surveys and other sources

Sankhya B

JNK Rao

2021/5

Inference for longitudinal data from complex sampling surveys: An approach based on quadratic inference functions

Scandinavian Journal of Statistics

Laura Dumitrescu

Wei Qian

JNK Rao

2021/3

A Bayesian approach for integrating a small probability sample with a non-probability sample

Balgobin Nandram

J. N. K. Rao

2021/12/13

My Memorable Interactions with Professor CR Rao

A Tribute to the Legend of Professor CR Rao: The Centenary Volume

JNK Rao

2021

Bayesian empirical likelihood inference with complex survey data

Journal of the Royal Statistical Society Series B: Statistical Methodology

Puying Zhao

Malay Ghosh

JNK Rao

Changbao Wu

2020/2

Empirical likelihood inference with public-use survey data

Puying Zhao

JNK Rao

Changbao Wu

2020/1/1

Discussion of" Small Area Estimation: Its Evolution in Five Decades", by Malay Ghosh.

Statistics in Transition New Series

JNK Rao

2020/12/1

Effective transformation-based variable selection under two-fold subarea models in small area estimation

Statistics in transition new series

Song Cai

JNK Rao

Laura Dumitrescu

Golshid Chatrchi

2020/9/15

See List of Professors in J. N. K. Rao University(Carleton University)