國立高雄大學圖資館 |

登入

回首頁

Probability, statistics and simulationwith application programs written in R /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Probability, statistics and simulationby Alberto Rotondi, Paolo Pedroni, Antonio Pievatolo.
其他題名:	with application programs written in R /
作者:	Rotondi, Alberto.
其他作者:	Pedroni, Paolo.
出版者:	Cham :Springer International Publishing :2022.
面頁冊數:	xv, 639 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Mathematical statistics.
電子資源:	https://doi.org/10.1007/978-3-031-09429-3
ISBN:	9783031094293$q(electronic bk.)

Probability, statistics and simulationwith application programs written in R /
Rotondi, Alberto.

Probability, statistics and simulationwith application programs written in R /[electronic resource] :by Alberto Rotondi, Paolo Pedroni, Antonio Pievatolo. - Cham :Springer International Publishing :2022. - xv, 639 p. :ill., digital ;24 cm. - UNITEXT. La matematica per il 3+2,v. 1392038-5757 ;. - UNITEXT.La matematica per il 3+2 ;v. 136..

1 Probability -- 2 Representation of random phenomena -- 3 Basic probability theory -- 4 Multivariate Probability Theory -- 5 Functions of random variables -- 6 Basic statistics: parameter estimation -- 7 Basic statistics: hypothesis testing -- 8 Monte Carlo methods -- 9 Applications of Monte Carlo methods -- 10 Statistical inference and likelihood -- 11 Least squares -- 12 Experimental data analysis -- Appendix A: Table of symbols 533 -- Appendix B: R software 535 -- Appendix C: Moment-generating functions 539 -- Appendix D: Solutions of problems 543 -- Appendix E: Tables.

This book presents in a compact form the program carried out in introductory statistics courses and discusses some essential topics for research activity, such as Monte Carlo simulation techniques, methods of statistical inference, best fit and analysis of laboratory data. All themes are developed starting from fundamentals, highlighting their applicative aspects, up to the detailed description of several cases particularly relevant for technical and scientific research. The text is dedicated to university students in scientific fields and to all researchers who have to solve practical problems by applying data analysis and simulation procedures. The R software is adopted throughout the book, with a rich library of original programs accessible to the readers through a website.

ISBN: 9783031094293$q(electronic bk.)

Standard No.: 10.1007/978-3-031-09429-3doiSubjects--Topical Terms:

181877
Mathematical statistics.

LC Class. No.: QA276

Dewey Class. No.: 519.5

Probability, statistics and simulationwith application programs written in R /
LDR:02466nmm a2200337 a 4500 001 634106
003 DE-He213
005 20221206175637.0
006 m d
007 cr nn 008maaau
008 230511s2022 sz s 0 eng d
020 $a 9783031094293$q(electronic bk.)
020 $a 9783031094286$q(paper)
024 7 $a 10.1007/978-3-031-09429-3 $2 doi
035 $a 978-3-031-09429-3
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
072 7 $a PBT $2 thema
082 0 4 $a 519.5 $2 23
090 $a QA276 $b .R848 2022
100 1 $a Rotondi, Alberto. $3 940358
245 1 0 $a Probability, statistics and simulation $h [electronic resource] : $b with application programs written in R / $c by Alberto Rotondi, Paolo Pedroni, Antonio Pievatolo.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a xv, 639 p. : $b ill., digital ; $c 24 cm.
490 1 $a UNITEXT. La matematica per il 3+2, $x 2038-5757 ; $v v. 139
505 0 $a 1 Probability -- 2 Representation of random phenomena -- 3 Basic probability theory -- 4 Multivariate Probability Theory -- 5 Functions of random variables -- 6 Basic statistics: parameter estimation -- 7 Basic statistics: hypothesis testing -- 8 Monte Carlo methods -- 9 Applications of Monte Carlo methods -- 10 Statistical inference and likelihood -- 11 Least squares -- 12 Experimental data analysis -- Appendix A: Table of symbols 533 -- Appendix B: R software 535 -- Appendix C: Moment-generating functions 539 -- Appendix D: Solutions of problems 543 -- Appendix E: Tables.
520 $a This book presents in a compact form the program carried out in introductory statistics courses and discusses some essential topics for research activity, such as Monte Carlo simulation techniques, methods of statistical inference, best fit and analysis of laboratory data. All themes are developed starting from fundamentals, highlighting their applicative aspects, up to the detailed description of several cases particularly relevant for technical and scientific research. The text is dedicated to university students in scientific fields and to all researchers who have to solve practical problems by applying data analysis and simulation procedures. The R software is adopted throughout the book, with a rich library of original programs accessible to the readers through a website.
650 0 $a Mathematical statistics. $3 181877
650 0 $a R (Computer program language) $3 210846
700 1 $a Pedroni, Paolo. $3 940359
700 1 $a Pievatolo, Antonio. $3 940360
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a UNITEXT. $p La matematica per il 3+2 ; $v v. 136. $3 922584
856 4 0 $u https://doi.org/10.1007/978-3-031-09429-3
950 $a Mathematics and Statistics (SpringerNature-11649)