Exploratory Data Analysis: Exploring the data characteristics with visual methods from data sets? analysis
Probability Distributions and Applications: To analyze the data distribution as per the intervals and applications to find the distribution probability.
Statistical Inference and Hypothesis Testing: Subject to find the reliability of statistical relationships based on random sampling.
Correlation and Regression: Correlation is to find the mutual relationship between two variables and regression is to find, describe the relationship.
Survival Analysis: Methods of analyzing data to obtain the occurrence of desired data output according to time.
Image Processing: Process, analyze, and manipulate digitized image to improve its quality.
Signal Processing: Process that deals with study of particles in different physical, symbolic, or abstract formats broadly designated as signals.
Recognition Measurement and Testing: Data profile analysis to measure the recognition of patterns and test the data.
Secure Biometric Designing: Branch deals with biometric designing to initiate and access the unique data metrics.
Biometrics Trait: Pre defined human compliant categories obtained in genetic traits.
Inferential Statistics and Distributions: We use inferential statistics to make judgments of the probability that an observed difference between groups is a dependable one or one that might have happened by chance in this study.
Multiple Linear Regressions: A statistical technique to predict the response variable outcome.
Linear Models: Models used to predict the response variable outcomes are linear regression models.
Multi Model Systems and Normalization: Designing multi-level model to handle many models to obtain integrated normalized result.
Pattern Recognition: Recognizing the data pattern based on the datasets and modulating the patterns.
Computer Biometrics: Automatically monitored authentication techniques that rely on measurable physical characteristics.
Statistical Methods: Methods to collect, summarize, analyze, and interpret variable numerical data.
Statistical Methods in Medical Research: Methods to summarize, analyze, and interpret medical research data.
Pharmaceutical and Biomedical Analysis: Analysis in the pharmaceutical, biomedical, and clinical sciences with interpretation methods.
Applied Mathematics and Statistics: A combined platform applying advanced mathematical techniques and interlinking statistical data.
Statistics and Mathematical Sciences: The study that includes mathematics with all subfields including statistics to estimate the datasets.
Epidemiology Biostatistics and Public Health: The mission to apply, develop, and teach the distribution and determinants of disease in population to generate knowledge that improves public health.
Applied Probability and Statistics: Applying probability theory to statistical problems and other domains.
Computational Statistics & Data Analysis: The statistical area of computational science specific to the mathematical science.
Statistical Planning: The area of planning statistical analysis of datasets and confining the data accessibility.
Multivariate Analysis: Statistical analysis of multiple independent variables with multiple dependent variables.

All submissions will undergo vigorous peer review process.
High quality review process.
Permanent published archives.
Author loyal benefits.
Reviewer credits.
Visible specified citations.
Open access - Maximum dissemination.
Un-interrupted author communication.
Standard author guidelines.
Minimal publication charges with convenient and safe modes of transfer.

Enliven: Biostatistics and Metrics

Chin-Shang Li

Ed Zhang

Hongyan (Nathan) Xu

Indrajit Saha

Jawad, Abbas

Nengjun Yi

Nianjun Liu

Sadek, Ramses

Thakar, Juilee