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 到查詢結果 [ subject:"Mixture distributions (Probability theory)" ]

切換: 標籤 | MARC模式 | ISBD

Finite mixture of skewed distributions

Cabral, Celso Romulo Barbosa.

Finite mixture of skewed distributions

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Finite mixture of skewed distributionsby Victor Hugo Lachos Davila, Celso Romulo Barbosa Cabral, Camila Borelli Zeller.
作者:	Davila, Victor Hugo Lachos.
其他作者:	Cabral, Celso Romulo Barbosa.
出版者:	Cham :Springer International Publishing :2018.
面頁冊數:	x, 101 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Mixture distributions (Probability theory)
電子資源:	https://doi.org/10.1007/978-3-319-98029-4
ISBN:	9783319980294$q(electronic bk.)

Finite mixture of skewed distributions
Davila, Victor Hugo Lachos.

Finite mixture of skewed distributions[electronic resource] /by Victor Hugo Lachos Davila, Celso Romulo Barbosa Cabral, Camila Borelli Zeller. - Cham :Springer International Publishing :2018. - x, 101 p. :ill., digital ;24 cm. - SpringerBriefs in statistics - ABE,2524-6917. - SpringerBriefs in statistics - ABE..

Chapter 1: Motivation -- Chapter 2: Maximum Likelihood Estimation in Normal Mixtures -- Chapter 3: Scale Mixtures of Skew-normal distributions -- Chapter 4: Univariate mixtures of SMSN distributions -- Chapter 5: Multivariate mixtures of SMSN distributions -- Chapter 6: Mixture of Regression Models.

This book presents recent results in finite mixtures of skewed distributions to prepare readers to undertake mixture models using scale mixtures of skew normal distributions (SMSN) For this purpose, the authors consider maximum likelihood estimation for univariate and multivariate finite mixtures where components are members of the flexible class of SMSN distributions. This subclass includes the entire family of normal independent distributions, also known as scale mixtures of normal distributions (SMN), as well as the skew-normal and skewed versions of some other classical symmetric distributions: the skew-t (ST), the skew-slash (SSL) and the skew-contaminated normal (SCN), for example. These distributions have heavier tails than the typical normal one, and thus they seem to be a reasonable choice for robust inference. The proposed EM-type algorithm and methods are implemented in the R package mixsmsn, highlighting the applicability of the techniques presented in the book. This work is a useful reference guide for researchers analyzing heterogeneous data, as well as a textbook for a graduate-level course in mixture models. The tools presented in the book make complex techniques accessible to applied researchers without the advanced mathematical background and will have broad applications in fields like medicine, biology, engineering, economic, geology and chemistry.

ISBN: 9783319980294$q(electronic bk.)

Standard No.: 10.1007/978-3-319-98029-4doiSubjects--Topical Terms:

224993
Mixture distributions (Probability theory)

LC Class. No.: QA273.6 / .D338 2018

Dewey Class. No.: 519.24

Finite mixture of skewed distributions
LDR:02769nmm a2200337 a 4500 001 547341
003 DE-He213
005 20190503115044.0
006 m d
007 cr nn 008maaau
008 190709s2018 gw s 0 eng d
020 $a 9783319980294$q(electronic bk.)
020 $a 9783319980287$q(paper)
024 7 $a 10.1007/978-3-319-98029-4 $2 doi
035 $a 978-3-319-98029-4
040 $a GP $c GP
041 0 $a eng
050 4 $a QA273.6 $b .D338 2018
072 7 $a PBT $2 bicssc
072 7 $a MAT029000 $2 bisacsh
072 7 $a PBT $2 thema
082 0 4 $a 519.24 $2 23
090 $a QA273.6 $b .D259 2018
100 1 $a Davila, Victor Hugo Lachos. $3 826591
245 1 0 $a Finite mixture of skewed distributions $h [electronic resource] / $c by Victor Hugo Lachos Davila, Celso Romulo Barbosa Cabral, Camila Borelli Zeller.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a x, 101 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in statistics - ABE, $x 2524-6917
505 0 $a Chapter 1: Motivation -- Chapter 2: Maximum Likelihood Estimation in Normal Mixtures -- Chapter 3: Scale Mixtures of Skew-normal distributions -- Chapter 4: Univariate mixtures of SMSN distributions -- Chapter 5: Multivariate mixtures of SMSN distributions -- Chapter 6: Mixture of Regression Models.
520 $a This book presents recent results in finite mixtures of skewed distributions to prepare readers to undertake mixture models using scale mixtures of skew normal distributions (SMSN) For this purpose, the authors consider maximum likelihood estimation for univariate and multivariate finite mixtures where components are members of the flexible class of SMSN distributions. This subclass includes the entire family of normal independent distributions, also known as scale mixtures of normal distributions (SMN), as well as the skew-normal and skewed versions of some other classical symmetric distributions: the skew-t (ST), the skew-slash (SSL) and the skew-contaminated normal (SCN), for example. These distributions have heavier tails than the typical normal one, and thus they seem to be a reasonable choice for robust inference. The proposed EM-type algorithm and methods are implemented in the R package mixsmsn, highlighting the applicability of the techniques presented in the book. This work is a useful reference guide for researchers analyzing heterogeneous data, as well as a textbook for a graduate-level course in mixture models. The tools presented in the book make complex techniques accessible to applied researchers without the advanced mathematical background and will have broad applications in fields like medicine, biology, engineering, economic, geology and chemistry.
650 0 $a Mixture distributions (Probability theory) $3 224993
650 0 $a Mathematical statistics $x Data processing. $3 183916
650 1 4 $a Statistical Theory and Methods. $3 274054
650 2 4 $a Statistics for Life Sciences, Medicine, Health Sciences. $3 274067
650 2 4 $a Statistics and Computing/Statistics Programs. $3 275710
700 1 $a Cabral, Celso Romulo Barbosa. $3 826592
700 1 $a Zeller, Camila Borelli. $3 826593
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a SpringerBriefs in statistics - ABE. $3 826594
856 4 0 $u https://doi.org/10.1007/978-3-319-98029-4
950 $a Mathematics and Statistics (Springer-11649)