東華大學圖書館 |

語系: 繁體中文

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

Elements of probability and statisti...

Biagini, Francesca.

FindBook

Google Book

Amazon

博客來

Elements of probability and statistics = an introduction to probability with de Finetti's approach and to Bayesian statistics /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Elements of probability and statistics/ by Francesca Biagini, Massimo Campanino.
其他題名:	an introduction to probability with de Finetti's approach and to Bayesian statistics /
作者:	Biagini, Francesca.
其他作者:	Campanino, Massimo.
出版者:	Cham :Springer International Publishing : : 2016.,
面頁冊數:	xv, 246 p. :ill. (some col.), digital ;24 cm.
內容註:	1 Random numbers -- 2 Discrete distributions -- 3 One-dimensional absolutely continuous distributions -- 4 Multi-dimensional absolutely continuous distributions -- 5 Convergence of distributions -- 6 Discrete time Markov chains -- 7 Continuous time Markov chains -- 8 Statistics -- 9 Combinatorics -- 10 Discrete distributions -- 11 One-dimensional absolutely continuous distributions -- 12 Absolutely continuous and multivariate distributions -- 13 Markov chains -- 14 Statistics -- 15 Elements of combinatorics -- 16 Relations between discrete and absolutely continuous distributions -- 17 Some discrete distributions -- 18 Some one-dimensional absolutely continuous distributions -- 19 The normal distribution -- 20 Stirling's formula -- 21 Elements of analysis -- 22 Bidimensional integrals.
Contained By:	Springer eBooks
標題:	Probabilities. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-07254-8
ISBN:	9783319072548$q(electronic bk.)

Elements of probability and statistics = an introduction to probability with de Finetti's approach and to Bayesian statistics /
Biagini, Francesca.

Elements of probability and statisticsan introduction to probability with de Finetti's approach and to Bayesian statistics /[electronic resource] :by Francesca Biagini, Massimo Campanino. - Cham :Springer International Publishing :2016. - xv, 246 p. :ill. (some col.), digital ;24 cm. - UNITEXT,v.982038-5714 ;. - UNITEXT ;v.73..

1 Random numbers -- 2 Discrete distributions -- 3 One-dimensional absolutely continuous distributions -- 4 Multi-dimensional absolutely continuous distributions -- 5 Convergence of distributions -- 6 Discrete time Markov chains -- 7 Continuous time Markov chains -- 8 Statistics -- 9 Combinatorics -- 10 Discrete distributions -- 11 One-dimensional absolutely continuous distributions -- 12 Absolutely continuous and multivariate distributions -- 13 Markov chains -- 14 Statistics -- 15 Elements of combinatorics -- 16 Relations between discrete and absolutely continuous distributions -- 17 Some discrete distributions -- 18 Some one-dimensional absolutely continuous distributions -- 19 The normal distribution -- 20 Stirling's formula -- 21 Elements of analysis -- 22 Bidimensional integrals.

This book provides an introduction to elementary probability and to Bayesian statistics using de Finetti's subjectivist approach. One of the features of this approach is that it does not require the introduction of sample space - a non-intrinsic concept that makes the treatment of elementary probability unnecessarily complicate - but introduces as fundamental the concept of random numbers directly related to their interpretation in applications. Events become a particular case of random numbers and probability a particular case of expectation when it is applied to events. The subjective evaluation of expectation and of conditional expectation is based on an economic choice of an acceptable bet or penalty. The properties of expectation and conditional expectation are derived by applying a coherence criterion that the evaluation has to follow. The book is suitable for all introductory courses in probability and statistics for students in Mathematics, Informatics, Engineering, and Physics.

ISBN: 9783319072548$q(electronic bk.)

Standard No.: 10.1007/978-3-319-07254-8doiSubjects--Topical Terms:

518889
Probabilities.

LC Class. No.: QA273

Dewey Class. No.: 519.2

Elements of probability and statistics = an introduction to probability with de Finetti's approach and to Bayesian statistics /
LDR:02972nmm a2200349 a 4500 001 2030567
003 DE-He213
005 20160818131919.0
006 m d
007 cr nn 008maaau
008 160908s2016 gw s 0 eng d
020 $a 9783319072548$q(electronic bk.)
020 $a 9783319072531$q(paper)
024 7 $a 10.1007/978-3-319-07254-8 $2 doi
035 $a 978-3-319-07254-8
040 $a GP $c GP
041 1 $a eng $h ita
050 4 $a QA273
072 7 $a PBT $2 bicssc
072 7 $a PBWL $2 bicssc
072 7 $a MAT029000 $2 bisacsh
082 0 4 $a 519.2 $2 23
090 $a QA273 $b .B576 2016
100 1 $a Biagini, Francesca. $3 901323
240 1 0 $a Elementi de probabilita e statistica. $l English
245 1 0 $a Elements of probability and statistics $h [electronic resource] : $b an introduction to probability with de Finetti's approach and to Bayesian statistics / $c by Francesca Biagini, Massimo Campanino.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a xv, 246 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a UNITEXT, $x 2038-5714 ; $v v.98
505 0 $a 1 Random numbers -- 2 Discrete distributions -- 3 One-dimensional absolutely continuous distributions -- 4 Multi-dimensional absolutely continuous distributions -- 5 Convergence of distributions -- 6 Discrete time Markov chains -- 7 Continuous time Markov chains -- 8 Statistics -- 9 Combinatorics -- 10 Discrete distributions -- 11 One-dimensional absolutely continuous distributions -- 12 Absolutely continuous and multivariate distributions -- 13 Markov chains -- 14 Statistics -- 15 Elements of combinatorics -- 16 Relations between discrete and absolutely continuous distributions -- 17 Some discrete distributions -- 18 Some one-dimensional absolutely continuous distributions -- 19 The normal distribution -- 20 Stirling's formula -- 21 Elements of analysis -- 22 Bidimensional integrals.
520 $a This book provides an introduction to elementary probability and to Bayesian statistics using de Finetti's subjectivist approach. One of the features of this approach is that it does not require the introduction of sample space - a non-intrinsic concept that makes the treatment of elementary probability unnecessarily complicate - but introduces as fundamental the concept of random numbers directly related to their interpretation in applications. Events become a particular case of random numbers and probability a particular case of expectation when it is applied to events. The subjective evaluation of expectation and of conditional expectation is based on an economic choice of an acceptable bet or penalty. The properties of expectation and conditional expectation are derived by applying a coherence criterion that the evaluation has to follow. The book is suitable for all introductory courses in probability and statistics for students in Mathematics, Informatics, Engineering, and Physics.
650 0 $a Probabilities. $3 518889
650 0 $a Mathematical statistics. $3 516858
650 1 4 $a Mathematics. $3 515831
650 2 4 $a Probability Theory and Stochastic Processes. $3 891080
650 2 4 $a Statistical Theory and Methods. $3 891074
650 2 4 $a Probability and Statistics in Computer Science. $3 891072
650 2 4 $a Business Mathematics. $3 2088824
650 2 4 $a Mathematical Methods in Physics. $3 890898
650 2 4 $a Appl.Mathematics/Computational Methods of Engineering. $3 890892
700 1 $a Campanino, Massimo. $3 2182477
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a UNITEXT ; $v v.73. $3 2068584
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-07254-8
950 $a Mathematics and Statistics (Springer-11649)