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
Frequentist
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
Frequentist, YES
Point Estimation 2 – ML
Introduction This notes confines to MLE in obtaining Point Estimators for parameters Suggested Reading: [CABE] Casella, G., & Berger, R.
Frequentist, YES
Point Estimation 1 – MoM
Introduction This notes confines to MOM in obtaining Point Estimators for parameters Suggested Reading: [CABE] Casella, G., & Berger, R.
Frequentist, YES
Statistical Inference Preliminaries
Introduction This notes provides few ideas of sampling distribution of sample mean and variance Suggested Reading: [CABE] Casella, G., &