Gillard, Jonathan

A First Course in - Statistical Inference - (Springer Undergraduate - Mathematics Series)

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ISBN 13:
9783030395605
author:
Gillard, Jonathan
format:
Paperback
publisher:
Springer Nature Switzerland AG
language:
English
Publication Year:
2020
Pages:
151
Dimensions:
23.5 x 15.5 x 1 centimetres (0.2
Genre:
Professional & Vocational, Science, Mathematics,
Condition:
New
Availability:
Item usually sent within 5 working days
£38.11

Description

A First Course in Statistical Inference by Jonathan Gillard provides a modern and accessible introduction to the science of inferring key information from data. This concise textbook presents the concepts underpinning frequentist statistical theory, aiming to help beginning undergraduate students in mathematics understand the subject.

Written in an informal style, the book focuses on ideas and concepts, with key theorems stated and proved. It includes detailed worked examples, exercises with full solutions at the back of the book, and uses R throughout, along with a brief guide to the software.

The material has been developed based on the author's teaching experience and student feedback over several years, covering topics such as sampling distributions, estimators, confidence intervals, hypothesis testing, ANOVA, and fitting straight lines to paired data. This textbook is suitable for a one-semester first course in statistics, assuming some familiarity with elementary probability.

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