語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
A first course in statistical inference
~
Gillard, Jonathan.
FindBook
Google Book
Amazon
博客來
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 inference/ by 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.
內容註:
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.
Contained By:
Springer eBooks
標題:
Mathematical statistics. -
電子資源:
https://doi.org/10.1007/978-3-030-39561-2
ISBN:
9783030395612
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
Standard No.: 10.1007/978-3-030-39561-2doiSubjects--Topical Terms:
516858
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
2217936
003
DE-He213
005
20200818173208.0
006
m d
007
cr nn 008maaau
008
201120s2020 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
3451580
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
516858
650
0
$a
Inference.
$3
540595
650
1 4
$a
Statistical Theory and Methods.
$3
891074
650
2 4
$a
Statistics and Computing/Statistics Programs.
$3
894293
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer eBooks
830
0
$a
Springer undergraduate mathematics series.
$3
1567980
856
4 0
$u
https://doi.org/10.1007/978-3-030-39561-2
950
$a
Mathematics and Statistics (Springer-11649)
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9392840
電子資源
11.線上閱覽_V
電子書
EB QA276 .G555 2020
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入