國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

A first course in statistical inference

Gillard, Jonathan.

A first course in statistical inference

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	A first course in statistical inferenceby Jonathan Gillard.
作者:	Gillard, Jonathan.
出版者:	Cham :Springer International Publishing :2020.
面頁冊數:	x, 164 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Mathematical statistics.
電子資源:	https://doi.org/10.1007/978-3-030-39561-2
ISBN:	9783030395612$q(electronic bk.)

A first course in statistical inference
Gillard, Jonathan.

A first course in statistical inference[electronic resource] /by Jonathan Gillard. - Cham :Springer International Publishing :2020. - x, 164 p. :ill., digital ;24 cm. - Springer undergraduate mathematics series,1615-2085. - Springer undergraduate mathematics series..

1 Recap of Probability Fundamentals -- 2 Sampling and Sampling Distributions -- 3 Towards Estimation -- 4 Confidence Intervals -- 5 Hypothesis Testing -- 6 One-way Analysis of Variance (ANOVA) -- 7 Regression: Fitting a Straight Line -- A brief introduction to R -- Solutions to Exercises -- Statistical Tables -- Index.

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.

ISBN: 9783030395612$q(electronic bk.)

Standard No.: 10.1007/978-3-030-39561-2doiSubjects--Topical Terms:

181877
Mathematical statistics.

LC Class. No.: QA276 / .G555 2020

Dewey Class. No.: 519.5

A first course in statistical inference
LDR:02421nmm a2200337 a 4500 001 572092
003 DE-He213
005 20200818173208.0
006 m d
007 cr nn 008maaau
008 200922s2020 sz s 0 eng d
020 $a 9783030395612$q(electronic bk.)
020 $a 9783030395605$q(paper)
024 7 $a 10.1007/978-3-030-39561-2 $2 doi
035 $a 978-3-030-39561-2
040 $a GP $c GP
041 0 $a eng
050 4 $a QA276 $b .G555 2020
072 7 $a PBT $2 bicssc
072 7 $a MAT029000 $2 bisacsh
072 7 $a PBT $2 thema
082 0 4 $a 519.5 $2 23
090 $a QA276 $b .G475 2020
100 1 $a Gillard, Jonathan. $3 858995
245 1 2 $a A first course in statistical inference $h [electronic resource] / $c by Jonathan Gillard.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a x, 164 p. : $b ill., digital ; $c 24 cm.
490 1 $a Springer undergraduate mathematics series, $x 1615-2085
505 0 $a 1 Recap of Probability Fundamentals -- 2 Sampling and Sampling Distributions -- 3 Towards Estimation -- 4 Confidence Intervals -- 5 Hypothesis Testing -- 6 One-way Analysis of Variance (ANOVA) -- 7 Regression: Fitting a Straight Line -- A brief introduction to R -- Solutions to Exercises -- Statistical Tables -- Index.
520 $a 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.
650 0 $a Mathematical statistics. $3 181877
650 0 $a Inference. $3 187753
650 1 4 $a Statistical Theory and Methods. $3 274054
650 2 4 $a Statistics and Computing/Statistics Programs. $3 275710
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Springer undergraduate mathematics series. $3 544774
856 4 0 $u https://doi.org/10.1007/978-3-030-39561-2
950 $a Mathematics and Statistics (Springer-11649)