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
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
Constant, Wealth
Nothing Here Is Automatic 3
Components of Wealth Wealth is not a single thing. It is a constellation of interlocking elements that together form the
Distributions, YES
Bivariate Distributions
Introduction We generalise the concept of probability distribution of a random variable to the joint distribution of two random variables.
Wealth
Nothing Here Is Automatic 2
Wealth Is Not Only about Money – It is the scaffolding. Discussions about wealth usually collapse into discussions about money.
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
Constant, Wealth
Nothing Here Is Automatic 1
Work, family, skill, earning, responsibility, education, inheritance — none of it runs on instinct A career is not inherited by
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,