First course in statistical inference / Jonathan Gillard.
2020
QA276
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Details
Title
First course in statistical inference / Jonathan Gillard.
Author
Gillard, Jonathan.
ISBN
9783030395612 (electronic book)
3030395618 (electronic book)
303039560X
9783030395605
3030395618 (electronic book)
303039560X
9783030395605
Publication Details
Cham : Springer, 2020.
Language
English
Description
1 online resource.
Item Number
10.1007/978-3-030-39561-2 doi
Call Number
QA276
Dewey Decimal Classification
519.5
Summary
This book offers a modern and accessible introduction to Statistical Inference, the science of inferring key information from data. Aimed at beginning undergraduate students in mathematics, it presents the concepts underpinning frequentist statistical theory. Written in a conversational and informal style, this concise text concentrates on ideas and concepts, with key theorems stated and proved. Detailed worked examples are included and each chapter ends with a set of exercises, with full solutions given at the back of the book. Examples using R are provided throughout the book, with a brief guide to the software included. Topics covered in the book include: sampling distributions, properties of estimators, confidence intervals, hypothesis testing, ANOVA, and fitting a straight line to paired data. Based on the author's extensive teaching experience, the material of the book has been honed by student feedback for over a decade. Assuming only some familiarity with elementary probability, this textbook has been devised for a one semester first course in statistics.
Note
Includes index.
Access Note
Access limited to authorized users.
Series
Springer undergraduate mathematics series.
Available in Other Form
Print version: 9783030395605
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