ABSTRACT

Based on the authors' lecture notes, this text presents concise yet complete coverage of statistical inference theory, focusing on the fundamental classical principles. Unlike related textbooks, it combines the theoretical basis of statistical inference with a useful applied toolbox that includes linear models. Suitable for a second semester undergraduate course on statistical inference, the text offers proofs to support the mathematics and does not require any use of measure theory. It illustrates core concepts using cartoons and provides solutions to all examples and problems.

chapter |4 pages

Introduction

chapter |20 pages

Statistical Model

chapter |45 pages

Inference Principles

chapter |50 pages

Estimation

chapter |62 pages

Testing Hypotheses

chapter |47 pages

Linear Model

chapter |30 pages

Solutions