Random variables, expectation, variance, and moment generating functions. Part III: Probability Distributions
| Edition | Year | Publisher | Page Count | Key Details | | :--- | :--- | :--- | :--- | :--- | | 4th (Revised) | c2015 | Mullick & Brothers, Dhaka | xv, 857 p. | Widely available in libraries; most up-to-date edition | | 5th | c2001 | Mullick & Brothers, Dhaka | 828 p. | A comprehensive, older edition | | 3rd | 2004 | Book World, Dhaka | xv, 824 p. | Another widely available edition |
: Analysis of simple linear models, least squares methods, and goodness of fit. | A comprehensive, older edition | | 3rd
: Includes appendices with statistical tables for Binomial and Normal distributions, which are essential for manual calculations. Local Relevance : Widely available in physical libraries like the CUET Central Library BUFT Library in Bangladesh. CUET Central Library summary or a practice problem from the book to work through?
The text introduces key probability distributions, including: Binomial and Poisson distributions. Continuous Distributions: Normal distribution (Gaussian). 4. Sampling and Estimation Local Relevance : Widely available in physical libraries
: Learning how to pick a small group to represent the whole.
Most academic libraries in the region stock multiple physical copies of this book or offer institutional digital access via internal repositories. including: Binomial and Poisson distributions.
Do not skip the algebraic derivations of formulas. Understanding the math behind a formula prevents you from misapplying it in real-world scenarios.