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Mathematics

D-Index
32
Citations
4958
World Ranking
3165
National Ranking
1268

Overview

K. Krishnamoorthy is affiliated with the University of Louisiana at Lafayette in the United States and has contributed extensively to the field of mathematics, particularly in statistics and probability. Their research spans several specialized subfields including advanced statistical methods, Bayesian inference, and statistical distribution estimation and applications.

The primary areas of study for Krishnamoorthy include:

  • Advanced Statistical Methods and Models
  • Statistical Methods and Bayesian Inference
  • Statistical Distribution Estimation and Applications
  • Statistical Methods and Inference
  • Statistical Methods in Clinical Trials
  • Advanced Statistical Process Monitoring
  • Probabilistic and Robust Engineering Design

Krishnamoorthy's research work is published in various academic journals, notably in:

  • Communications in Statistics - Simulation and Computation
  • Journal of Applied Statistics
  • Communication in Statistics- Theory and Methods
  • American Journal of Mathematical and Management Sciences
  • Journal of Statistical Computation and Simulation

Significant recent publications by Krishnamoorthy include:

  • "Combining independent tests for a common parameter of several continuous distributions: a new test and power comparisons" (2022), Communications in Statistics - Simulation and Computation
  • "Mobility and Dependence-aware QoS Monitoring in Mobile Edge Computing" (2023), Journal Of Advanced Zoology
  • "Tests and Confidence Intervals for the Mean of a Zero-Inflated Poisson Distribution" (2020), American Journal of Mathematical and Management Sciences
  • "A method for computing tolerance intervals for a location-scale family of distributions" (2020), Computational Statistics
  • "Estimation of the probability content in a specified interval using fiducial approach" (2020), Journal of Applied Statistics

Frequent coauthors in Krishnamoorthy's research include:

  • Shanshan Lv
  • Md Monzur Murshed
  • Saptarshi Chakraberty
  • Ngan Hoang-Nguyen-Thuy
  • Faysal A. Chowdhury

This collaborative pattern, along with the choice of publication venues, indicates a consistent focus on statistical theory and applications. Krishnamoorthy's work incorporates both theoretical advancements and applied methodologies across different aspects of statistical science.

Best Publications

  • Handbook of statistical distributions with applications

    K. Krishnamoorthy

  • Statistical Tolerance Regions: Theory, Applications, and Computation

    Kalimuthu Krishnamoorthy;Thomas Mathew

  • Inferences on the means of lognormal distributions using generalized p-values and generalized confidence intervals

    K Krishnamoorthy;Thomas Mathew

  • A parametric bootstrap approach for ANOVA with unequal variances: Fixed and random models

    K. Krishnamoorthy;Fei Lu;Thomas Mathew

  • Improved tests for the equality of normal coefficients of variation

    K. Krishnamoorthy;Meesook Lee

  • A more powerful test for comparing two Poisson means

    K. Krishnamoorthy;Jessica Thomson

  • Normal-Based methods for a Gamma Distribution. Prediction and Tolerance Intervals and Stress-Strength Reliability.

    K. Krishnamoorthy;Thomas Mathew;Shubhabrata Mukherjee

  • Inferences on the common mean of several normal populations based on the generalized variable method.

    K. Krishnamoorthy;Yong Lu

  • Modified Nel and Van der Merwe test for the multivariate Behrens–Fisher problem

    K. Krishnamoorthy;Jianqi Yu

  • Inference on Reliability in Two-parameter Exponential Stress–strength Model

    K. Krishnamoorthy;Shubhabrata Mukherjee;Huizhen Guo

  • CONFIDENCE LIMITS FOR STRESS STRENGTH RELIABILITY INVOLVING WEIBULL MODELS

    K. Krishnamoorthy;Yin Lin

  • Handbook of Statistical Distributions with Applications

    Unknown

  • One-sided tolerance limits in balanced and unbalanced one-way random models based on generalized confidence intervals

    K Krishnamoorthy;Thomas Mathew

  • Exact Confidence Intervals for the Common Mean of Several Normal Populations

    Scott M. Jordan;K. Krishnamoorthy

  • cvequality: Tests for the Equality of Coefficients of Variation from Multiple Groups

    Unknown

  • Confidence limits and prediction limits for a Weibull distribution based on the generalized variable approach

    K. Krishnamoorthy;Yin Lin;Yanping Xia

  • Computing discrete mixtures of continuous distributions: noncentral chisquare, noncentral t and the distribution of the square of the sample multiple correlation coefficient

    Denise Benton;K. Krishnamoorthy

  • A parametric bootstrap solution to the MANOVA under heteroscedasticity

    K. Krishnamoorthy;Fei Lu

  • Improved minimax estimation of a normal precision matrix

    K. Krishnamoorthy;A. K. Gupta

  • Generalized P-Values and Confidence Intervals: A Novel Approach for Analyzing Lognormally Distributed Exposure Data

    K. Krishnamoorthy;Thomas Mathew;Gurumurthy Ramachandran

  • Inferences on a Normal Covariance Matrix and Generalized Variance with Monotone Missing Data

    Jian Hao;K. Krishnamoorthy

  • Model-based imputation approach for data analysis in the presence of non-detects.

    K. Krishnamoorthy;Avishek Mallick;Thomas Mathew

  • Confidence intervals for the mean and a percentile based on zero-inflated lognormal data

    Sazib Hasan;K. Krishnamoorthy

Frequent Co-Authors

Thomas Mathew
Thomas Mathew University of Maryland, Baltimore County
Arjun K. Gupta
Arjun K. Gupta Bowling Green State University

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