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

Basic elements of computational stat...

Hardle, Wolfgang Karl.

Basic elements of computational statistics

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Basic elements of computational statisticsby Wolfgang Karl Hardle, Ostap Okhrin, Yarema Okhrin.
作者:	Hardle, Wolfgang Karl.
其他作者:	Okhrin, Ostap.
出版者:	Cham :Springer International Publishing :2017.
面頁冊數:	xxi, 305 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
標題:	Mathematical statisticsData processing.
電子資源:	http://dx.doi.org/10.1007/978-3-319-55336-8
ISBN:	9783319553368$q(electronic bk.)

Basic elements of computational statistics
Hardle, Wolfgang Karl.

Basic elements of computational statistics[electronic resource] /by Wolfgang Karl Hardle, Ostap Okhrin, Yarema Okhrin. - Cham :Springer International Publishing :2017. - xxi, 305 p. :ill. (some col.), digital ;24 cm. - Statistics and computing,1431-8784. - Statistics and computing..

The Basics of R -- Numerical Techniques -- Combinatorics and Discrete Distributions -- Univariate Distributions -- Univariate Statistical Analysis -- Basic Nonparametric Methods -- Multivariate Distributions -- Multivariate Statistical Analysis -- Random Numbers in R -- Advanced Graphical Techniques in R -- Symbols and Notations.

This textbook on computational statistics presents tools and concepts of univariate and multivariate statistical data analysis with a strong focus on applications and implementations in the statistical software R. It covers mathematical, statistical as well as programming problems in computational statistics and contains a wide variety of practical examples. In addition to the numerous R sniplets presented in the text, all computer programs (quantlets) and data sets to the book are available on GitHub and referred to in the book. This enables the reader to fully reproduce as well as modify and adjust all examples to their needs. The book is intended for advanced undergraduate and first-year graduate students as well as for data analysts new to the job who would like a tour of the various statistical tools in a data analysis workshop. The experienced reader with a good knowledge of statistics and programming might skip some sections on univariate models and enjoy the various mathematical roots of multivariate techniques. The Quantlet platform quantlet.de, quantlet.com, quantlet.org is an integrated QuantNet environment consisting of different types of statistics-related documents and program codes. Its goal is to promote reproducibility and offer a platform for sharing validated knowledge native to the social web. QuantNet and the corresponding Data-Driven Documents-based visualization allows readers to reproduce the tables, pictures and calculations inside this Springer book.

ISBN: 9783319553368$q(electronic bk.)

Standard No.: 10.1007/978-3-319-55336-8doiSubjects--Topical Terms:

183916
Mathematical statistics
--Data processing.

LC Class. No.: QA276.4

Dewey Class. No.: 519.50285

Basic elements of computational statistics
LDR:02857nmm a2200325 a 4500 001 522337
003 DE-He213
005 20180328120113.0
006 m d
007 cr nn 008maaau
008 180521s2017 gw s 0 eng d
020 $a 9783319553368$q(electronic bk.)
020 $a 9783319553351$q(paper)
024 7 $a 10.1007/978-3-319-55336-8 $2 doi
035 $a 978-3-319-55336-8
040 $a GP $c GP
041 0 $a eng
050 4 $a QA276.4
072 7 $a UFM $2 bicssc
072 7 $a COM077000 $2 bisacsh
082 0 4 $a 519.50285 $2 23
090 $a QA276.4 $b .H264 2017
100 1 $a Hardle, Wolfgang Karl. $3 470603
245 1 0 $a Basic elements of computational statistics $h [electronic resource] / $c by Wolfgang Karl Hardle, Ostap Okhrin, Yarema Okhrin.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2017.
300 $a xxi, 305 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Statistics and computing, $x 1431-8784
505 0 $a The Basics of R -- Numerical Techniques -- Combinatorics and Discrete Distributions -- Univariate Distributions -- Univariate Statistical Analysis -- Basic Nonparametric Methods -- Multivariate Distributions -- Multivariate Statistical Analysis -- Random Numbers in R -- Advanced Graphical Techniques in R -- Symbols and Notations.
520 $a This textbook on computational statistics presents tools and concepts of univariate and multivariate statistical data analysis with a strong focus on applications and implementations in the statistical software R. It covers mathematical, statistical as well as programming problems in computational statistics and contains a wide variety of practical examples. In addition to the numerous R sniplets presented in the text, all computer programs (quantlets) and data sets to the book are available on GitHub and referred to in the book. This enables the reader to fully reproduce as well as modify and adjust all examples to their needs. The book is intended for advanced undergraduate and first-year graduate students as well as for data analysts new to the job who would like a tour of the various statistical tools in a data analysis workshop. The experienced reader with a good knowledge of statistics and programming might skip some sections on univariate models and enjoy the various mathematical roots of multivariate techniques. The Quantlet platform quantlet.de, quantlet.com, quantlet.org is an integrated QuantNet environment consisting of different types of statistics-related documents and program codes. Its goal is to promote reproducibility and offer a platform for sharing validated knowledge native to the social web. QuantNet and the corresponding Data-Driven Documents-based visualization allows readers to reproduce the tables, pictures and calculations inside this Springer book.
650 0 $a Mathematical statistics $x Data processing. $3 183916
650 0 $a R (Computer program language) $3 210846
650 1 4 $a Statistics. $3 182057
650 2 4 $a Statistics and computing/Statistics Programs. $3 753638
650 2 4 $a Statistical Theory and Methods. $3 274054
650 2 4 $a Probability and Statistics in Computer Science. $3 274053
650 2 4 $a Biostatistics. $3 339693
650 2 4 $a Statistics for Business/Economics/Mathematical Finance/Insurance. $3 274062
650 2 4 $a Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. $3 348605
700 1 $a Okhrin, Ostap. $3 792961
700 1 $a Okhrin, Yarema. $3 792962
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Statistics and computing. $3 558852
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-55336-8
950 $a Mathematics and Statistics (Springer-11649)