東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

The Uncertainty analysis of model re...

Hofer, Eduard.

Linked to FindBook

Google Book

Amazon

博客來

The Uncertainty analysis of model results = a practical guide /

Record Type:	Electronic resources : Monograph/item
Title/Author:	The Uncertainty analysis of model results/ by Eduard Hofer.
Reminder of title:	a practical guide /
Author:	Hofer, Eduard.
Published:	Cham :Springer International Publishing : : 2018.,
Description:	xv, 346 p. :ill., digital ;24 cm.
[NT 15003449]:	Preface -- Introduction and necessary distinctions -- Step 1: Search -- Step 2: Quantify -- Step 3: Propagate -- Step 4: Estimate uncertainty -- Step 5: Rank uncertainties -- Step 6: Present the analysis and interpret its results -- Practical execution of the analysis -- Uncertainty analysis when separation of uncertainties is required -- Practical examples -- References -- Subject index.
Contained By:	Springer eBooks
Subject:	Statistics. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-76297-5
ISBN:	9783319762975

The Uncertainty analysis of model results = a practical guide /
Hofer, Eduard.

The Uncertainty analysis of model resultsa practical guide /[electronic resource] :by Eduard Hofer. - Cham :Springer International Publishing :2018. - xv, 346 p. :ill., digital ;24 cm.

Preface -- Introduction and necessary distinctions -- Step 1: Search -- Step 2: Quantify -- Step 3: Propagate -- Step 4: Estimate uncertainty -- Step 5: Rank uncertainties -- Step 6: Present the analysis and interpret its results -- Practical execution of the analysis -- Uncertainty analysis when separation of uncertainties is required -- Practical examples -- References -- Subject index.

This book is a practical guide to the uncertainty analysis of computer model applications. Used in many areas, such as engineering, ecology and economics, computer models are subject to various uncertainties at the level of model formulations, parameter values and input data. Naturally, it would be advantageous to know the combined effect of these uncertainties on the model results as well as whether the state of knowledge should be improved in order to reduce the uncertainty of the results most effectively. The book supports decision-makers, model developers and users in their argumentation for an uncertainty analysis and assists them in the interpretation of the analysis results.

ISBN: 9783319762975

Standard No.: 10.1007/978-3-319-76297-5doiSubjects--Topical Terms:

517247
Statistics.

LC Class. No.: TA1634

Dewey Class. No.: 006.37

The Uncertainty analysis of model results = a practical guide /
LDR:02019nmm a2200313 a 4500 001 2142263
003 DE-He213
005 20180502132754.0
006 m d
007 cr nn 008maaau
008 181214s2018 gw s 0 eng d
020 $a 9783319762975 $q (electronic bk.)
020 $a 9783319762968 $q (paper)
024 7 $a 10.1007/978-3-319-76297-5 $2 doi
035 $a 978-3-319-76297-5
040 $a GP $c GP
041 0 $a eng
050 4 $a TA1634
072 7 $a PBT $2 bicssc
072 7 $a MAT029000 $2 bisacsh
082 0 4 $a 006.37 $2 23
090 $a TA1634 $b .H697 2018
100 1 $a Hofer, Eduard. $3 3321747
245 1 4 $a The Uncertainty analysis of model results $h [electronic resource] : $b a practical guide / $c by Eduard Hofer.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a xv, 346 p. : $b ill., digital ; $c 24 cm.
505 0 $a Preface -- Introduction and necessary distinctions -- Step 1: Search -- Step 2: Quantify -- Step 3: Propagate -- Step 4: Estimate uncertainty -- Step 5: Rank uncertainties -- Step 6: Present the analysis and interpret its results -- Practical execution of the analysis -- Uncertainty analysis when separation of uncertainties is required -- Practical examples -- References -- Subject index.
520 $a This book is a practical guide to the uncertainty analysis of computer model applications. Used in many areas, such as engineering, ecology and economics, computer models are subject to various uncertainties at the level of model formulations, parameter values and input data. Naturally, it would be advantageous to know the combined effect of these uncertainties on the model results as well as whether the state of knowledge should be improved in order to reduce the uncertainty of the results most effectively. The book supports decision-makers, model developers and users in their argumentation for an uncertainty analysis and assists them in the interpretation of the analysis results.
650 0 $a Statistics. $3 517247
650 0 $a Computer simulation. $3 525602
650 0 $a Mathematical models. $3 522882
650 0 $a Quality control. $3 576298
650 0 $a Reliability. $3 536252
650 0 $a Industrial safety. $3 624802
650 0 $a Environmental sciences. $3 536320
650 0 $a Economics. $3 517137
650 2 4 $a Statistical Theory and Methods. $3 891074
650 2 4 $a Simulation and Modeling. $3 890873
650 2 4 $a Mathematical Modeling and Industrial Mathematics. $3 891089
650 2 4 $a Economic Theory/Quantitative Economics/Mathematical Methods. $3 2162305
650 2 4 $a Math. Appl. in Environmental Science. $3 891071
650 2 4 $a Quality Control, Reliability, Safety and Risk. $3 891027
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-76297-5
950 $a Mathematics and Statistics (Springer-11649)