Monday, September 15, 2025

Cochran’s Theorem in Statistics: From Univariate to Multivariate Analysis

Cochran’s Theorem in Statistics: From Univariate to Multivariate Analysis

🔎 Introduction Cochran’s theorem is a cornerstone in statistical theory. It explains when quadratic forms of normal variables follow...

Sunday, September 14, 2025

When Does a Quadratic Form Follow a Chi-Square Distribution?

When Does a Quadratic Form Follow a Chi-Square Distribution?

🔎 Motivation Quadratic forms arise in many statistical methods: Sample variance (measuring spread) Regression & ANOVA (part...

Wednesday, February 12, 2025

Multinomial Distribution: Theory, Applications, and a Real-World Example

Multinomial Distribution: Theory, Applications, and a Real-World Example

🔎 Introduction The multinomial distribution generalizes the binomial distribution to more than two outcomes. It is widely used in stati...

Friday, June 14, 2024

Solving CSIR - NET Mathematical Sciences: February 2022 PART A [Question ID = 21]: The Case of the Exchanged Students

Solving CSIR - NET Mathematical Sciences: February 2022 PART A [Question ID = 21]: The Case of the Exchanged Students

Hello, math enthusiasts! Today, we have an interesting problem involving two sections of students, their average marks, and the impact of e...

Tuesday, May 28, 2024

Sensitivity Analysis of Bayesian Methods for Misclassified Multivariate Data

Sensitivity Analysis of Bayesian Methods for Misclassified Multivariate Data

Introduction Misclassification is a common issue in data analysis, especially when dealing with multivariate data. It occurs when the observ...

Tuesday, February 20, 2024

Understanding Point and Interval Estimation: A Comprehensive Guide with example

Understanding Point and Interval Estimation: A Comprehensive Guide with example

Introduction: Point and interval estimation are fundamental concepts in statistics, providing us with tools to make informed inferences abou...

Monday, November 2, 2020

Population and Sample

Population and Sample

W hen we are working with data, we usually work with samples since it is too difficult, time consuming and expensive to work with population...
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