語系:
繁體中文
English
說明(常見問題)
圖資館首頁
登入
回首頁
到查詢結果
[ author_sort:"blaine, bruce." ]
切換:
標籤
|
MARC模式
|
ISBD
Introductory applied statisticswith resampling methods & R /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Introductory applied statisticsby Bruce Blaine.
其他題名:
with resampling methods & R /
作者:
Blaine, Bruce.
出版者:
Cham :Springer International Publishing :2023.
面頁冊數:
1 online resource (xiv, 190 p.) :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
標題:
Statistics.
電子資源:
https://doi.org/10.1007/978-3-031-27741-2
ISBN:
9783031277412$q(electronic bk.)
Introductory applied statisticswith resampling methods & R /
Blaine, Bruce.
Introductory applied statistics
with resampling methods & R /[electronic resource] :by Bruce Blaine. - Cham :Springer International Publishing :2023. - 1 online resource (xiv, 190 p.) :ill., digital ;24 cm.
1. Foundations I: Introductory Data Analysis with R -- 2. Data Analysis in Bivariate Data: Foundations -- 3. Statistics and Data Analysis in an ANOVA Model -- 4. Statistics and Data Analysis in a Proportions Model -- 5. Statistics and Data Analysis in a Regression Model -- 6. Statistics and Data Analysis in a Logistic Model -- 7. Statistical Inference I: Randomization Methods for Hypothesis Testing -- 8. Statistical Inference II: Bootstrapping Methods for Parameter Estimation -- 9. Using Resampling Methods for Statistical Inference: Four Examples -- 10. Statistics and Data Analysis in a Pre-Post Design.
This book offers an introduction to applied statistics through data analysis, integrating statistical computing methods. It covers robust and non-robust descriptive statistics used in each of four bivariate statistical models that are commonly used in research: ANOVA, proportions, regression, and logistic. The text teaches statistical inference principles using resampling methods (such as randomization and bootstrapping), covering methods for hypothesis testing and parameter estimation. These methods are applied to each statistical model introduced in preceding chapters. Data analytic examples are used to teach statistical concepts throughout, and students are introduced to the R packages and functions required for basic data analysis in each of the four models. The text also includes introductory guidance to the fundamentals of data wrangling, as well as examples of write-ups so that students can learn how to communicate findings. Each chapter includes problems for practice or assessment. Supplemental instructional videos are also available as an additional aid to instructors, or as a general resource to students. This book is intended for an introductory or basic statistics course with an applied focus, or an introductory analytics course, at the undergraduate level in a two-year or four-year institution. This can be used for students with a variety of disciplinary backgrounds, from business, to the social sciences, to medicine. No sophisticated mathematical background is required.
ISBN: 9783031277412$q(electronic bk.)
Standard No.: 10.1007/978-3-031-27741-2doiSubjects--Topical Terms:
182057
Statistics.
LC Class. No.: QA276
Dewey Class. No.: 519.5
Introductory applied statisticswith resampling methods & R /
LDR
:03109nmm a2200325 a 4500
001
638046
003
DE-He213
005
20230505182902.0
006
m d
007
cr nn 008maaau
008
230921s2023 sz s 0 eng d
020
$a
9783031277412$q(electronic bk.)
020
$a
9783031277405$q(paper)
024
7
$a
10.1007/978-3-031-27741-2
$2
doi
035
$a
978-3-031-27741-2
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA276
072
7
$a
UN
$2
bicssc
072
7
$a
MAT029000
$2
bisacsh
072
7
$a
UN
$2
thema
082
0 4
$a
519.5
$2
23
090
$a
QA276
$b
.B634 2023
100
1
$a
Blaine, Bruce.
$3
944643
245
1 0
$a
Introductory applied statistics
$h
[electronic resource] :
$b
with resampling methods & R /
$c
by Bruce Blaine.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2023.
300
$a
1 online resource (xiv, 190 p.) :
$b
ill., digital ;
$c
24 cm.
505
0
$a
1. Foundations I: Introductory Data Analysis with R -- 2. Data Analysis in Bivariate Data: Foundations -- 3. Statistics and Data Analysis in an ANOVA Model -- 4. Statistics and Data Analysis in a Proportions Model -- 5. Statistics and Data Analysis in a Regression Model -- 6. Statistics and Data Analysis in a Logistic Model -- 7. Statistical Inference I: Randomization Methods for Hypothesis Testing -- 8. Statistical Inference II: Bootstrapping Methods for Parameter Estimation -- 9. Using Resampling Methods for Statistical Inference: Four Examples -- 10. Statistics and Data Analysis in a Pre-Post Design.
520
$a
This book offers an introduction to applied statistics through data analysis, integrating statistical computing methods. It covers robust and non-robust descriptive statistics used in each of four bivariate statistical models that are commonly used in research: ANOVA, proportions, regression, and logistic. The text teaches statistical inference principles using resampling methods (such as randomization and bootstrapping), covering methods for hypothesis testing and parameter estimation. These methods are applied to each statistical model introduced in preceding chapters. Data analytic examples are used to teach statistical concepts throughout, and students are introduced to the R packages and functions required for basic data analysis in each of the four models. The text also includes introductory guidance to the fundamentals of data wrangling, as well as examples of write-ups so that students can learn how to communicate findings. Each chapter includes problems for practice or assessment. Supplemental instructional videos are also available as an additional aid to instructors, or as a general resource to students. This book is intended for an introductory or basic statistics course with an applied focus, or an introductory analytics course, at the undergraduate level in a two-year or four-year institution. This can be used for students with a variety of disciplinary backgrounds, from business, to the social sciences, to medicine. No sophisticated mathematical background is required.
650
0
$a
Statistics.
$3
182057
650
0
$a
Statistics
$x
Data processing.
$3
183693
650
0
$a
Resampling (Statistics)
$3
185434
650
0
$a
R (Computer program language)
$3
210846
650
1 4
$a
Data Analysis and Big Data.
$3
913147
650
2 4
$a
Applied Statistics.
$3
805583
650
2 4
$a
Statistics and Computing.
$3
922173
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer Nature eBook
856
4 0
$u
https://doi.org/10.1007/978-3-031-27741-2
950
$a
Mathematics and Statistics (SpringerNature-11649)
筆 0 讀者評論
全部
電子館藏
館藏
1 筆 • 頁數 1 •
1
條碼號
館藏地
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
000000225470
電子館藏
1圖書
電子書
EB QA276 .B634 2023 2023
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
多媒體檔案
https://doi.org/10.1007/978-3-031-27741-2
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼
登入