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Last updated: Apr 22, 2022

Numerical Methods & Statistics

Statistics is more about how we handle various data using different techniques. It helps to represent complicated data in a very easy and understandable way. Statistics has a huge application nowadays in data science professions. In upcoming blogs, we’re going to learn about Mean, Variance, Standard Deviation, Exponential Distribution, Covariance and Correlation, Homogeneous Poisson Process, and Non-Homogeneous Poisson Process.
Mean, variance, standard deviation
In this article, we will discuss mean, variance, and standard deviation.
Exponential Distribution
In this article, we will discuss the exponential distribution topic.
Covariance and Correlation EASY
Covariance and Correlation are two opposite terms used in statistics and regression analysis. In this article, we will learn about Covariance and Correlation.
Confidence Intervals in Inferential Statistics MEDIUM
This article will discuss the confidence intervals in inference statistics, why they are essential, how to calculate them, and the proper interpretation of the confidence intervals examples.
Homogeneous Poisson Process
In this blog, we will learn about the Homogeneous Poisson Process and its uses in real life.
Nonhomogeneous Poisson Process EASY
Nonhomogeneous Poisson process model represents the number of failures experienced up to time t. In this article, we will learn about the Nonhomogeneous Poisson process.
Scales of Measurements
In this blog, we will learn about the scales of measurement and different types of scales.