Properties of Univariate & Bivariate Distributions
Introduction We now prove several useful properties of the expectation of a random variable $X$, which is applied in univatiate
Distributions, YES
YES
Distributions, YES
Expectation & Moments of Bivariate Distributions
Introduction Random variable characterises a random phenomenon by listing the range and the corresponding probability distribution (that is, pmf in
Distributions, YES
Bivariate Distributions
Introduction We generalise the concept of probability distribution of a random variable to the joint distribution of two random variables.
Distributions, YES
Random variable & Probability Function
Introduction Random variable and theoretical distributions play very important role in modeling uncertainty. It offers a syntactic approach for the
Frequentist, YES
Generalized Linear Modelling
Introduction This notes provides the necessary mathematical, statistical and computational details of Generalized Linear Model (GLM). Three components of GLM
Frequentist, YES
Linear Models
Introduction This notes provides the necessary mathematical, statistical and computational details of Linear Modeling (LM). Suggested Reading: [MPG] Introduction to
Frequentist, YES
Confidence Intervals-Normal Models
Introduction This notes $\textbf{lists}$ the classical $(1-\alpha)100\%$ confidence intervals for the parameters involving in the Normal Distribution. Only one method,
Frequentist, YES
Testing of Hypotheses-Specific Models
Introduction In this note, we shall discuss Designing statistical tests for hypotheses on parameters involved in some standard distribution. This
Frequentist, YES
Testing of Hypotheses – Preliminaries
Introduction From a classical text, Mood, A. M., Graybill, F. A., & Boes, D. C. Introduction to the Theory of
Frequentist, YES
Point Estimation 3-Evaluation of Estimator
Introduction This notes confines to one of the ways of analyzing the quality of a point estimator for a parameter