Nitis Mukhopadhyay

Nitis Mukhopadhyay

University of Connecticut

H-index: 31

North America-United States

About Nitis Mukhopadhyay

Nitis Mukhopadhyay, With an exceptional h-index of 31 and a recent h-index of 16 (since 2020), a distinguished researcher at University of Connecticut, specializes in the field of sequential analysis, inference, multivariate, selection and ranking, sampling.

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

Distribution-free minimum risk point estimation of the mean under powered absolute error loss plus cost of sampling: Illustrations with cancer data

Second-order asymptotics for comparing treatment means from purely sequential estimation strategies under possible outlying observations

Multi-stage Minimum Risk Point Estimation Strategies for Comparing the Locations from Two Negative Exponential Models and Second-Order Asymptotics: Illustrations with Simulated …

Multi-stage minimum risk point estimation (MRPE) of a function of unknown $$\varvec {\beta} $$ in a Gamma ($$\varvec {\alpha,\beta} $$) model with $$\varvec {\alpha} $$ known …

Theory of new second-order expansions for the moments of accelerated sequential stopping times in normal mean estimation problems when is …

A general theory of three-stage estimation strategy with second-order asymptotics and its applications

Second-order (so) multi-stage fixed-width confidence interval (FWCI) estimation strategies for comparing location parameters from two negative exponential (NE) populations …

A new formulation of minimum risk fixed-width confidence interval (MRFWCI) estimation problems for a normal mean with illustrations and simulations: Applications to air quality …

Nitis Mukhopadhyay Information

University

Position

Professor of Statistics

Citations(all)

4962

Citations(since 2020)

1501

Cited By

4124

hIndex(all)

31

hIndex(since 2020)

16

i10Index(all)

112

i10Index(since 2020)

38

Email

University Profile Page

University of Connecticut

Google Scholar

View Google Scholar Profile

Nitis Mukhopadhyay Skills & Research Interests

sequential analysis

inference

multivariate

selection and ranking

sampling

Top articles of Nitis Mukhopadhyay

Title

Journal

Author(s)

Publication Date

Distribution-free minimum risk point estimation of the mean under powered absolute error loss plus cost of sampling: Illustrations with cancer data

Communications in Statistics-Theory and Methods

Yakov Khariton

Nitis Mukhopadhyay

2024/4/2

Second-order asymptotics for comparing treatment means from purely sequential estimation strategies under possible outlying observations

Communications in statistics-simulation and computation

Nitis Mukhopadhyay

Jun Hu

Zhe Wang

2024/3/3

Multi-stage Minimum Risk Point Estimation Strategies for Comparing the Locations from Two Negative Exponential Models and Second-Order Asymptotics: Illustrations with Simulated …

Journal of Statistical Theory and Practice

Nitis Mukhopadhyay

Anhar S Aloufi

2024/3

Multi-stage minimum risk point estimation (MRPE) of a function of unknown $$\varvec {\beta} $$ in a Gamma ($$\varvec {\alpha,\beta} $$) model with $$\varvec {\alpha} $$ known …

Japanese Journal of Statistics and Data Science

Nitis Mukhopadhyay

Jing Li

2024/2/28

Theory of new second-order expansions for the moments of accelerated sequential stopping times in normal mean estimation problems when is …

Japanese Journal of Statistics and Data Science

Nitis Mukhopadhyay

Boyi Zhang

2023/6

A general theory of three-stage estimation strategy with second-order asymptotics and its applications

Sankhya A

Nitis Mukhopadhyay

Soumik Banerjee

2023/2

Second-order (so) multi-stage fixed-width confidence interval (FWCI) estimation strategies for comparing location parameters from two negative exponential (NE) populations …

Metrika

Nitis Mukhopadhyay

Anhar Aloufi

2023/10/1

A new formulation of minimum risk fixed-width confidence interval (MRFWCI) estimation problems for a normal mean with illustrations and simulations: Applications to air quality …

Sequential Analysis

Nitis Mukhopadhyay

Swathi Venkatesan

2022/4/3

Pairwise independence may not imply independence: New illustrations and a generalization

The American Statistician

Nitis Mukhopadhyay

2022/4/3

Fine-Tuned Parallel Piecewise Sequential Confidence Interval and Point Estimation Strategies for the Mean of a Normal Population: Big Data Context

Nitis Mukhopadhyay

Chen Zhang

2022/11/15

An optimal purely sequential strategy with asymptotic second-order properties: Applications from statistical inference and data analysis

Sequential Analysis

Srawan Kumar Bishnoi

Nitis Mukhopadhyay

2022/9/30

Purely sequential minimum risk point estimation (MRPE) for a survival function in an exponential distribution: illustration with remission times for bladder cancer patients

Journal of Statistical Theory and Practice

Nitis Mukhopadhyay

Jing Li

2022/9

Introducing Informal Inequality Measures (IIMs) Constructed from U-statistics of Degree Three or Higher in Analyzing Economic Disparity

Nitis Mukhopadhyay

Bhargab Chattopadhyay

2021/4/29

Lower Bounds for Percentiles of Pivots from a Sample Mean Standardized by S, the GMD, the MAD, or the Range in a Normal Distribution and Miscellany with Data Analysis

Nitis Mukhopadhyay

2021/9/1

Gini inequality index: Methods and applications

Nitis Mukhopadhyay

Partha Pratim Sengupta

2021/4/29

Purely sequential point estimation of a function of the mean in an exponential distribution

Journal of Statistical Theory and Practice

Nitis Mukhopadhyay

2021/9

Sequential Confidence Set and Point Estimation of the Population Gini Index by Controlling Accuracies Relative to the Population Mean

Nitis Mukhopadhyay

Shyamal K De

Tae Young Yang

2021/4/29

Minimum risk point estimation for a function of a normal mean under weighted power absolute error loss plus cost: First-order and second-order asymptotics

Sequential Analysis

Soumik Banerjee

Nitis Mukhopadhyay

2021/7/3

Numerical versus asymptotic sequential interval estimation of population sizes

Journal of Computational and Applied Mathematics

Ivair R Silva

Debanjan Bhattacharjee

Nitis Mukhopadhyay

2021/12/15

On rereading Stein’s lemma: Its intrinsic connection with Cramér-Rao identity and some new identities

Methodology and Computing in Applied Probability

Nitis Mukhopadhyay

2021/3

See List of Professors in Nitis Mukhopadhyay University(University of Connecticut)