Department of Statistics

Dr. Latha V

Associate Professor, HOD

  • Academic Experience:

    25 years

  • Qualification:

    MSc, Ph.D

  • Contact:

    Email: lathav@jyotinivas.org

Dr. Latha V

Associate Professor, HOD


# Degree Subject University, place ,year
1 Ph.D Classification problems in multivariate distributions Dept. of Statistics, Bangalore University Part time research scholar for October 2013
2 M.Sc Statistics Bangalore University, Bangalore, 1989-1991
3 B.Sc Mathematics, Economics and Statistics Bangalore University, Bangalore, 1986-1989

Multivariate data analysis

1. A comparative study on grouping of variables using multivariate techniques”. This paper has been published in the Mathematical Sciences International Research Journal Vol 6, Issue 1, 14-17, 2017
2. Location model for mixed data using winsorization with comedian. This paper has been published in the Journal of Computer and Mathematical Sciences, Vol.9(12), 1847- 1850, December 2018
3. Control Charts for Multivariate Non Normal Data using Winsorization with Comedian when Outliers are present In training data. This paper has been published in TEST Engineering and Management, ISSN: 0193-4120, 1273-1277, March –April 2020.

1. “A study on the effect of atypical variables on dimension reduction techniques in multivariate data analysis” at the UGC sponsored National Conference on Present scenario in statistical research and applications -2017 on 11th and 12th February 2017 held at PSG College of Arts and Science, Coimbatore
2. “A comparative study on grouping of variables using multivariate techniques” at the International Conference on Mathematics & Computer Science 2017, February 16-18, 2017 held at Jyoti Nivas College Autonomous, Bangalore
3. “A Comparison Of Different Clustering Techniques For Cases” at the international conference on theory and applications of statistics and information sciences in collaboration with the Indian Society for probability and statistics and the Indian Bayesian society on 5th, 6th and 7th January 2018 held at the Department of Statistics , Bharatiyar University, Coimbatore.
4. “A Study Of Clustering Techniques For Non-Normal Data” at the international conference on Changing Paradigms and Emerging Challenges in Statistical sciences held on 29th, 30th and 31st January 2018 at the Department of Statistics , Pondicherry University Pondicherry.
5. “Location model for mixed data using winsorization with comedian”at the National Conference on Changing Paradigms in teaching and research of statistics held on 14th December 2018 at Kristu Jayanti College, Bangalore.
6. “Classification rules for mixed data using winsorization with generalized minimum covariance determinant algorithm” at the National conference on Challenges and opportunities in Statistics and Informatics for futuristic humanosphere especially in agriculture(COSIFHA) in conjunction with the 21st conference of the Society of Statistics ,Computer Science and Applications held from 29-31st January 2019 at S.V. Agricultural College, Tirupathi.
7. “Control Charts for Multivariate Non Normal Data using Winsorization with Comedian when Outliers are present In training data” at the National Conference on Theoretical and Applied Statistics held on 23rd and 24th January 2020 at Kristu Jayanti College, Bangalore

Applications of R Software - UGC sponsored National level workshop - 26th and 27th September2014 held at Maharani's College of Science, Bangalore
Applications of Statistics in Research, Planning and Industry - UGC sponsored national level seminar held on 5th, 6th and 7th February, 2015 held at Mount Carmel College, Bangalore.
Attended a 2 day workshop on effective usage of SPSS for data analysis at Christ University .
Attended a management development programme on 'Analytics for academicians' held at PES College of Engineering, Bangalore.
Three day workshop for item writing in quantitative techniques conducted by Prometric India, a testing organisation at IIM Bangalore.

Awarded PhD. In statistics by Bangalore University in 2021 for the thesis titled “Classification problems in Multivariate distributions”