語系:
繁體中文
English
說明(常見問題)
圖資館首頁
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Introduction to statistics and data ...
~
Heumann, Christian.
Introduction to statistics and data analysiswith exercises, solutions and applications in R /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Introduction to statistics and data analysisby Christian Heumann, Michael Schomaker, Shalabh.
其他題名:
with exercises, solutions and applications in R /
作者:
Heumann, Christian.
其他作者:
Schomaker, Michael.
出版者:
Cham :Springer International Publishing :2016.
面頁冊數:
xiii, 456 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
標題:
Mathematical statistics.
電子資源:
http://dx.doi.org/10.1007/978-3-319-46162-5
ISBN:
9783319461625$q(electronic bk.)
Introduction to statistics and data analysiswith exercises, solutions and applications in R /
Heumann, Christian.
Introduction to statistics and data analysis
with exercises, solutions and applications in R /[electronic resource] :by Christian Heumann, Michael Schomaker, Shalabh. - Cham :Springer International Publishing :2016. - xiii, 456 p. :ill., digital ;24 cm.
Part I Descriptive Statistics: Introduction and Framework -- Frequency Measures and Graphical Representation of Data -- Measures of Central Tendency and Dispersion -- Association of Two Variables -- Part I Probability Calculus: Combinatorics -- Elements of Probability Theory -- Random Variables -- Probability Distributions -- Part III Inductive Statistics: Inference -- Hypothesis Testing -- Linear Regression -- Part IV Appendices: Introduction to R -- Solutions to Exercises -- Technical Appendix -- Visual Summaries.
This introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture statistical thinking. It presents descriptive, inductive and explorative statistical methods and guides the reader through the process of quantitative data analysis. In the experimental sciences and interdisciplinary research, data analysis has become an integral part of any scientific study. Issues such as judging the credibility of data, analyzing the data, evaluating the reliability of the obtained results and finally drawing the correct and appropriate conclusions from the results are vital. The text is primarily intended for undergraduate students in disciplines like business administration, the social sciences, medicine, politics, macroeconomics, etc. It features a wealth of examples, exercises and solutions with computer code in the statistical programming language R as well as supplementary material that will enable the reader to quickly adapt all methods to their own applications.
ISBN: 9783319461625$q(electronic bk.)
Standard No.: 10.1007/978-3-319-46162-5doiSubjects--Topical Terms:
181877
Mathematical statistics.
LC Class. No.: QA276
Dewey Class. No.: 519.5
Introduction to statistics and data analysiswith exercises, solutions and applications in R /
LDR
:02535nmm a2200313 a 4500
001
502488
003
DE-He213
005
20170127040741.0
006
m d
007
cr nn 008maaau
008
170823s2016 gw s 0 eng d
020
$a
9783319461625$q(electronic bk.)
020
$a
9783319461601$q(paper)
024
7
$a
10.1007/978-3-319-46162-5
$2
doi
035
$a
978-3-319-46162-5
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA276
072
7
$a
PBT
$2
bicssc
072
7
$a
MAT029000
$2
bisacsh
082
0 4
$a
519.5
$2
23
090
$a
QA276
$b
.H593 2016
100
1
$a
Heumann, Christian.
$3
285990
245
1 0
$a
Introduction to statistics and data analysis
$h
[electronic resource] :
$b
with exercises, solutions and applications in R /
$c
by Christian Heumann, Michael Schomaker, Shalabh.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2016.
300
$a
xiii, 456 p. :
$b
ill., digital ;
$c
24 cm.
505
0
$a
Part I Descriptive Statistics: Introduction and Framework -- Frequency Measures and Graphical Representation of Data -- Measures of Central Tendency and Dispersion -- Association of Two Variables -- Part I Probability Calculus: Combinatorics -- Elements of Probability Theory -- Random Variables -- Probability Distributions -- Part III Inductive Statistics: Inference -- Hypothesis Testing -- Linear Regression -- Part IV Appendices: Introduction to R -- Solutions to Exercises -- Technical Appendix -- Visual Summaries.
520
$a
This introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture statistical thinking. It presents descriptive, inductive and explorative statistical methods and guides the reader through the process of quantitative data analysis. In the experimental sciences and interdisciplinary research, data analysis has become an integral part of any scientific study. Issues such as judging the credibility of data, analyzing the data, evaluating the reliability of the obtained results and finally drawing the correct and appropriate conclusions from the results are vital. The text is primarily intended for undergraduate students in disciplines like business administration, the social sciences, medicine, politics, macroeconomics, etc. It features a wealth of examples, exercises and solutions with computer code in the statistical programming language R as well as supplementary material that will enable the reader to quickly adapt all methods to their own applications.
650
0
$a
Mathematical statistics.
$3
181877
650
0
$a
R (Computer program language)
$3
210846
650
1 4
$a
Statistics.
$3
182057
650
2 4
$a
Statistical Theory and Methods.
$3
274054
650
2 4
$a
Statistics for Business/Economics/Mathematical Finance/Insurance.
$3
274062
650
2 4
$a
Econometrics.
$3
182271
650
2 4
$a
Macroeconomics/Monetary Economics/Financial Economics.
$3
737439
700
1
$a
Schomaker, Michael.
$3
766723
700
1
$a
Shalabh.
$3
285991
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer eBooks
856
4 0
$u
http://dx.doi.org/10.1007/978-3-319-46162-5
950
$a
Mathematics and Statistics (Springer-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
000000135306
電子館藏
1圖書
電子書
EB QA276 H593 2016
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
多媒體檔案
http://dx.doi.org/10.1007/978-3-319-46162-5
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