Paper Presentation/Faculty

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Department of Statistic

Paper Presentation/Faculty

2022-2023

S.No.

Name of the Faculty

Event

Event Details- Title/ Venue/Date

Paper title

I/N/S/O

1.      

D.Srikala

Conference

Title: Emerging technologies in Science, Commerce

Date: 14th-16th September 2022

Venue: St.Ann’s College for Women, Hyd.

An Exploratory Study of Awareness and Acceptance of Cryptocurrency by Virtual Snowball Sampling in Hyderabad

I

2.      

V. Sai Dri Kishore

Conference

Title: Emerging technologies in Science, Commerce

Date: 14th-16th September 2022

Venue: St.Ann’s College for Women, Hyd.

An Exploratory Study of Awareness and Acceptance of Cryptocurrency by Virtual Snowball Sampling in Hyderabad

I

3.      

S.Pranitha Reddy

Conference

Title: Emerging technologies in Science, Commerce

Date: 14th-16th September 2022

Venue: St.Ann’s College for Women, Hyd.

An Exploratory Study of Awareness and Acceptance of Cryptocurrency by Virtual Snowball Sampling in Hyderabad

I

2021-2022

S.No.

Name Of the Faculty

Event details-Title/Venue/Date

Paper Title

I/N/S/O

1.

D.Srikala

Title: Conference (Virtual Mode) on Emerging Trends in Statistics and Data Science in conjunction with 40Th Annual Convection of Indian Society for Probability & Statistics(ISPS)

Venue: Cochin University of Science & Technology, Cochin and M.D.University, Rohak

Date: 10th September 2021

Logistic Regression vs Kohonen supervised SOM in classifying the Aged Persons in Tamil Nadu State- a study on NNSO 71st Round Health Data

 

 

 

 

I

2.

D.Srikala

Title: Conference on Contemporary issues in Business and management

Venue: Dr.B.R.Ambedkar Institute of Management and Technology, Hyderabad

Date: 21st – 23rd February 2020

An Empirical Study on Pedagogical Approach –M Learning

I

3.

Dr.V.Sai Sarada

Title: Recent advances in Statistical theory and applications (RASTA-2022)

Venue: ICAR-National Academy of Agricultural research management (ICAR-NAARM),Hyderabad

Date: 27th February

Missing value replacement using triplet Method for mean

I

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