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
Statistical hypothesis testing in co...
~
P. Fay, Michael.
FindBook
Google Book
Amazon
博客來
Statistical hypothesis testing in context = reproducibility, inference, and science /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Statistical hypothesis testing in context/ Michael P. Fay, Erica H. Brittain.
其他題名:
reproducibility, inference, and science /
作者:
P. Fay, Michael.
其他作者:
Brittain, Erica H.
出版者:
Cambridge :Cambridge University Press, : 2022.,
面頁冊數:
xiv, 433 p. :ill., digital ;27 cm.
附註:
Title from publisher's bibliographic system (viewed on 07 Apr 2022).
標題:
Statistical hypothesis testing. -
電子資源:
https://doi.org/10.1017/9781108528825
ISBN:
9781108528825
Statistical hypothesis testing in context = reproducibility, inference, and science /
P. Fay, Michael.
Statistical hypothesis testing in context
reproducibility, inference, and science /[electronic resource] :Michael P. Fay, Erica H. Brittain. - Cambridge :Cambridge University Press,2022. - xiv, 433 p. :ill., digital ;27 cm. - Cambridge series in statistical and probabilistic mathematics ;52. - Cambridge series in statistical and probabilistic mathematics ;52..
Title from publisher's bibliographic system (viewed on 07 Apr 2022).
Fay and Brittain present statistical hypothesis testing and compatible confidence intervals, focusing on application and proper interpretation. The emphasis is on equipping applied statisticians with enough tools - and advice on choosing among them - to find reasonable methods for almost any problem and enough theory to tackle new problems by modifying existing methods. After covering the basic mathematical theory and scientific principles, tests and confidence intervals are developed for specific types of data. Essential methods for applications are covered, such as general procedures for creating tests (e.g., likelihood ratio, bootstrap, permutation, testing from models), adjustments for multiple testing, clustering, stratification, causality, censoring, missing data, group sequential tests, and non-inferiority tests. New methods developed by the authors are included throughout, such as melded confidence intervals for comparing two samples and confidence intervals associated with Wilcoxon-Mann-Whitney tests and Kaplan-Meier estimates. Examples, exercises, and the R package asht support practical use.
ISBN: 9781108528825Subjects--Topical Terms:
560235
Statistical hypothesis testing.
LC Class. No.: QA277 / .P43 2022
Dewey Class. No.: 519.56
Statistical hypothesis testing in context = reproducibility, inference, and science /
LDR
:02095nmm a2200265 a 4500
001
2324532
003
UkCbUP
005
20220420193104.0
006
m d
007
cr nn 008maaau
008
231215s2022 enk o 1 0 eng d
020
$a
9781108528825
$q
(electronic bk.)
020
$a
9781108423564
$q
(hardback)
020
$a
9781108437677
$q
(paperback)
035
$a
CR9781108528825
040
$a
UkCbUP
$b
eng
$c
UkCbUP
$d
GP
050
0 0
$a
QA277
$b
.P43 2022
082
0 0
$a
519.56
$2
23
090
$a
QA277
$b
.P111 2022
100
1
$a
P. Fay, Michael.
$3
3645849
245
1 0
$a
Statistical hypothesis testing in context
$h
[electronic resource] :
$b
reproducibility, inference, and science /
$c
Michael P. Fay, Erica H. Brittain.
260
$a
Cambridge :
$b
Cambridge University Press,
$c
2022.
300
$a
xiv, 433 p. :
$b
ill., digital ;
$c
27 cm.
490
1
$a
Cambridge series in statistical and probabilistic mathematics ;
$v
52
500
$a
Title from publisher's bibliographic system (viewed on 07 Apr 2022).
520
$a
Fay and Brittain present statistical hypothesis testing and compatible confidence intervals, focusing on application and proper interpretation. The emphasis is on equipping applied statisticians with enough tools - and advice on choosing among them - to find reasonable methods for almost any problem and enough theory to tackle new problems by modifying existing methods. After covering the basic mathematical theory and scientific principles, tests and confidence intervals are developed for specific types of data. Essential methods for applications are covered, such as general procedures for creating tests (e.g., likelihood ratio, bootstrap, permutation, testing from models), adjustments for multiple testing, clustering, stratification, causality, censoring, missing data, group sequential tests, and non-inferiority tests. New methods developed by the authors are included throughout, such as melded confidence intervals for comparing two samples and confidence intervals associated with Wilcoxon-Mann-Whitney tests and Kaplan-Meier estimates. Examples, exercises, and the R package asht support practical use.
650
0
$a
Statistical hypothesis testing.
$3
560235
700
1
$a
Brittain, Erica H.
$3
3645850
830
0
$a
Cambridge series in statistical and probabilistic mathematics ;
$v
52.
$3
3645851
856
4 0
$u
https://doi.org/10.1017/9781108528825
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
W9456479
電子資源
11.線上閱覽_V
電子書
EB QA277 .P43 2022
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