語系:
繁體中文
English
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
Bayesian inference = data evaluation...
~
Harney, Hanns Ludwig.
FindBook
Google Book
Amazon
博客來
Bayesian inference = data evaluation and decisions /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Bayesian inference/ by Hanns Ludwig Harney.
其他題名:
data evaluation and decisions /
作者:
Harney, Hanns Ludwig.
出版者:
Cham :Springer International Publishing : : 2016.,
面頁冊數:
xiii, 243 p. :ill., digital ;24 cm.
內容註:
Knowledge an Logic -- Bayes' Theorem -- Probable and Improbable Data -- Descriptions of Distributions I: Real x -- Description of Distributions II: Natural x -- Form Invariance I -- Examples of Invariant Measures -- A Linear Representation of Form Invariance -- Going Beyond Form Invariance: The Geometric Prior -- Inferring the Mean or Standard Deviation -- Form Invariance II: Natural x -- Item Response Theory -- On the Art of Fitting -- Problems and Solutions -- Description of Distributions I -- Real x -- Form Invariance I -- Beyond Form Invariance: The Geometric Prior -- Inferring Mean or Standard Deviation -- Form Invariance II: Natural x -- Item Response Theory -- On the Art of Fitting.
Contained By:
Springer eBooks
標題:
Bayesian statistical decision theory. -
電子資源:
http://dx.doi.org/10.1007/978-3-319-41644-1
ISBN:
9783319416441
Bayesian inference = data evaluation and decisions /
Harney, Hanns Ludwig.
Bayesian inference
data evaluation and decisions /[electronic resource] :by Hanns Ludwig Harney. - 2nd ed. - Cham :Springer International Publishing :2016. - xiii, 243 p. :ill., digital ;24 cm.
Knowledge an Logic -- Bayes' Theorem -- Probable and Improbable Data -- Descriptions of Distributions I: Real x -- Description of Distributions II: Natural x -- Form Invariance I -- Examples of Invariant Measures -- A Linear Representation of Form Invariance -- Going Beyond Form Invariance: The Geometric Prior -- Inferring the Mean or Standard Deviation -- Form Invariance II: Natural x -- Item Response Theory -- On the Art of Fitting -- Problems and Solutions -- Description of Distributions I -- Real x -- Form Invariance I -- Beyond Form Invariance: The Geometric Prior -- Inferring Mean or Standard Deviation -- Form Invariance II: Natural x -- Item Response Theory -- On the Art of Fitting.
This new edition offers a comprehensive introduction to the analysis of data using Bayes rule. It generalizes Gaussian error intervals to situations in which the data follow distributions other than Gaussian. This is particularly useful when the observed parameter is barely above the background or the histogram of multiparametric data contains many empty bins, so that the determination of the validity of a theory cannot be based on the chi-squared-criterion. In addition to the solutions of practical problems, this approach provides an epistemic insight: the logic of quantum mechanics is obtained as the logic of unbiased inference from counting data. New sections feature factorizing parameters, commuting parameters, observables in quantum mechanics, the art of fitting with coherent and with incoherent alternatives and fitting with multinomial distribution. Additional problems and examples help deepen the knowledge. Requiring no knowledge of quantum mechanics, the book is written on introductory level, with many examples and exercises, for advanced undergraduate and graduate students in the physical sciences, planning to, or working in, fields such as medical physics, nuclear physics, quantum mechanics, and chaos.
ISBN: 9783319416441
Standard No.: 10.1007/978-3-319-41644-1doiSubjects--Topical Terms:
551404
Bayesian statistical decision theory.
LC Class. No.: QA279.5
Dewey Class. No.: 519.542
Bayesian inference = data evaluation and decisions /
LDR
:02887nmm a2200325 a 4500
001
2053831
003
DE-He213
005
20161018065929.0
006
m d
007
cr nn 008maaau
008
170510s2016 gw s 0 eng d
020
$a
9783319416441
$q
(electronic bk.)
020
$a
9783319416427
$q
(paper)
024
7
$a
10.1007/978-3-319-41644-1
$2
doi
035
$a
978-3-319-41644-1
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA279.5
072
7
$a
PHU
$2
bicssc
072
7
$a
SCI040000
$2
bisacsh
082
0 4
$a
519.542
$2
23
090
$a
QA279.5
$b
.H289 2016
100
1
$a
Harney, Hanns Ludwig.
$3
3166983
245
1 0
$a
Bayesian inference
$h
[electronic resource] :
$b
data evaluation and decisions /
$c
by Hanns Ludwig Harney.
250
$a
2nd ed.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2016.
300
$a
xiii, 243 p. :
$b
ill., digital ;
$c
24 cm.
505
0
$a
Knowledge an Logic -- Bayes' Theorem -- Probable and Improbable Data -- Descriptions of Distributions I: Real x -- Description of Distributions II: Natural x -- Form Invariance I -- Examples of Invariant Measures -- A Linear Representation of Form Invariance -- Going Beyond Form Invariance: The Geometric Prior -- Inferring the Mean or Standard Deviation -- Form Invariance II: Natural x -- Item Response Theory -- On the Art of Fitting -- Problems and Solutions -- Description of Distributions I -- Real x -- Form Invariance I -- Beyond Form Invariance: The Geometric Prior -- Inferring Mean or Standard Deviation -- Form Invariance II: Natural x -- Item Response Theory -- On the Art of Fitting.
520
$a
This new edition offers a comprehensive introduction to the analysis of data using Bayes rule. It generalizes Gaussian error intervals to situations in which the data follow distributions other than Gaussian. This is particularly useful when the observed parameter is barely above the background or the histogram of multiparametric data contains many empty bins, so that the determination of the validity of a theory cannot be based on the chi-squared-criterion. In addition to the solutions of practical problems, this approach provides an epistemic insight: the logic of quantum mechanics is obtained as the logic of unbiased inference from counting data. New sections feature factorizing parameters, commuting parameters, observables in quantum mechanics, the art of fitting with coherent and with incoherent alternatives and fitting with multinomial distribution. Additional problems and examples help deepen the knowledge. Requiring no knowledge of quantum mechanics, the book is written on introductory level, with many examples and exercises, for advanced undergraduate and graduate students in the physical sciences, planning to, or working in, fields such as medical physics, nuclear physics, quantum mechanics, and chaos.
650
0
$a
Bayesian statistical decision theory.
$3
551404
650
0
$a
Mathematical physics.
$3
516853
650
1 4
$a
Physics.
$3
516296
650
2 4
$a
Mathematical Methods in Physics.
$3
890898
650
2 4
$a
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
$3
1005896
650
2 4
$a
Particle and Nuclear Physics.
$3
1067136
650
2 4
$a
Probability Theory and Stochastic Processes.
$3
891080
650
2 4
$a
Medical and Radiation Physics.
$3
1532864
650
2 4
$a
Computational Mathematics and Numerical Analysis.
$3
891040
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer eBooks
856
4 0
$u
http://dx.doi.org/10.1007/978-3-319-41644-1
950
$a
Physics and Astronomy (Springer-11651)
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
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
W9287134
電子資源
11.線上閱覽_V
電子書
EB QA279.5
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入