Hybrid Conference (In Person / Virtual)

International Conference on Nonparametric Statistics and Inference Methods (ICNSIM - 27)
31st - 1st June 2027 , Akhaura, Bangladesh
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Call For Papers

The ICNSIM provides a supportive platform for both experienced researchers and early-career academicians to present their work and gain recognition.

The conference covers diverse topics such as Probability Theory, Statistics, encouraging participation from emerging researchers and fostering academic growth.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Nonparametric methods in statistical analysis
02
Applications of nonparametric statistics in research
03
Statistical techniques for nonparametric inference
04
Machine learning and nonparametric methods
05
Statistical challenges in nonparametric research
06
Nonparametric regression analysis techniques
07
Applications of nonparametric methods in healthcare
08
Comparative studies of parametric vs nonparametric
09
Future trends in nonparametric statistics
10
Ethical considerations in nonparametric analysis
11
Case studies using nonparametric techniques
12
Statistical software for nonparametric methods
13
Applications of nonparametric methods in finance
14
Nonparametric tests for hypothesis testing
15
Integration of nonparametric methods with other techniques
16
Statistical modeling of nonparametric data
17
Collaborative research in nonparametric statistics
18
Nonparametric methods in social sciences
19
Statistical inference in nonparametric contexts
20
Advanced algorithms for nonparametric analysis

Assessment

Submissions will be reviewed to ensure quality and relevance, with a focus on encouraging emerging research contributions. Accepted papers will be presented and considered for publication opportunities.

Registration

Early-career researchers are encouraged to register and present their work, gaining valuable feedback and academic exposure.

Publication

The conference provides opportunities for emerging researchers to publish their work in recognized platforms.