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Amitava Mukherjee

Professor

XLRI - Xavier School of Management

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Research Interests

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Professors in Statistics

Articles (20)

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2024

Collaborators (3)

Hidetoshi Murakami

University of Tokyo

JAPAN

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Philippe Castagliola

Université de Nantes

FRANCE

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Chenglong Li

Associate Professor

Northwestern Polytechnical University

CHINA

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Amitava Mukherjee

Research Interests

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Articles (20)

An integrated distribution-free approach to monitor multiple process aspects with application in delivery time management

A class of nonparametric Max-EWMA schemes for monitoring high-dimensional processes

Phase‐II Monitoring the Ratio of Population Means of a Bivariate Normal Distribution Based on Subgroup Samples

Joint optimisation of dynamic quality monitoring and maintenance strategy with quality and degradation considerations

On designing efficient adaptive control charts for monitoring the process mean based on Bayesian generalised likelihood ratio

Nonparametric Phase I analysis of multivariate data using PCA for industrial quality control

Simultaneous Location and Scale Monitoring of Key Performance Indicators

Performance of the Shiryaev–Roberts‐Type Scheme in Monitoring Weibull Shape Parameter Based on Type II Censored Data

Monitoring delivery time using a multiaspect distribution-free method

Some new real-time monitoring schemes for Gumbel’s bivariate exponential time between the events

A phase-II change-point-based distribution-free scheme for monitoring of three process aspects

Bayesian generalized likelihood ratio chart for Gaussian process variance with an application to monitoring hard-bake processes

Comparisons of some new and existing EWMA schemes for binomial count processes with applications to monitoring hospital No-Shows

Methods for Data Disaggregation: Application to COVID-19 Spatial Models in Portugal

Some elaborate comparisons of several distribution-free schemes in short production runs and some new results

Times series disaggregation: Application to Portuguese COVID-19 data

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

A distribution-free Max-EWMA scheme for multi-aspect process monitoring with industrial applications

An EWMA chart for high dimensional process with multi-class out-of-control information via random forest learning

Phase II control charts for monitoring the depth-ratio of ball-bearings involving three normal variables

Collaborators (3)

Hidetoshi Murakami

Philippe Castagliola

Chenglong Li

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