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GitHub8mon
atherjnoor/Data-Analysis-using-R: conducting an analysis of the Iris dataset utilizing the R programming language R . Working on the following - GitHub
conducting an analysis of the Iris dataset utilizing the R programming language R . Working on the following : 1. Five Number Summary 2. Mean and Standard Deviation 3. Outlier Boxplot Analysis 4.
GitHub4mon
Excited to share my latest project, where I conducted an Exploratory Data Analysis (EDA) on a Bank Loan Case Study to identify patterns in client repayment difficulties. Data ...
Data Cleaning & Preprocessing ,Univariate & Segment Univariate Analysis, Bivariate Analysis & Correlation Study - skm-1718/BANK-LOAN-CASE-STUDY Excited to share my latest project, where I conducted an ...
Scientific Research Publishing9mon
Parameters Estimation of a Bivariate Generalized Poisson Distribution with Applications to Metabolic Syndrome Data - Scientific Research Publishing
Background: Bivariate count data are commonly encountered in medicine, biology, engineering, epidemiology and many other applications. The Poisson distribution has been the model of choice to analyze ...
Frontiers1y
Testing dynamic correlations and nonlinearity in bivariate time series through information measures and surrogate data analysis - Frontiers
The increasing availability of time series data depicting the evolution of physical system properties has prompted the development of methods focused on extracting insights into the system behavior ...
Frontiers24y
Robust Correlation Analyses: False Positive and Power Validation Using a New Open Source Matlab Toolbox - Frontiers
To investigate effect sizes, we first tested if the correlations differed from the true population value. Differences between observed correlation values (r) and the true one (ρ) were computed, and ...