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

Linked to FindBook

Google Book

Amazon

博客來

Bayesian analysis of spatially structured population dynamics

Record Type:	Electronic resources : Monograph/item
Title/Author:	Bayesian analysis of spatially structured population dynamics/ by Qing Zhao.
Author:	Zhao, Qing.
Published:	Cham :Springer International Publishing : : 2024.,
Description:	xvi, 386 p. :ill. (chiefly color), digital ;24 cm.
[NT 15003449]:	Chapter 1: Background -- Chapter 2: Occupancy Models -- Chapter 3: N-mixture models -- Chapter 4: Integrated population models (IPMs) -- Chapter 5: Spatial capture-recapture (SCR) models -- Chapter 6: Summary and outlook.
Contained By:	Springer Nature eBook
Subject:	Population - Statistical methods. -
Online resource:	https://doi.org/10.1007/978-3-031-64518-1
ISBN:	9783031645181

Bayesian analysis of spatially structured population dynamics
Zhao, Qing.

Bayesian analysis of spatially structured population dynamics[electronic resource] /by Qing Zhao. - Cham :Springer International Publishing :2024. - xvi, 386 p. :ill. (chiefly color), digital ;24 cm. - Ecological studies, analysis and synthesis,v. 2532196-971X ;. - Ecological studies, analysis and synthesis ;v. 253..

Chapter 1: Background -- Chapter 2: Occupancy Models -- Chapter 3: N-mixture models -- Chapter 4: Integrated population models (IPMs) -- Chapter 5: Spatial capture-recapture (SCR) models -- Chapter 6: Summary and outlook.

The book introduces a series of state-of-art Bayesian models that can be used to understand and predict spatially structured population dynamics in our changing world. Several chapters are devoted to introducing models that utilize detection/non-detection data, count data, combined count and capture-recapture data, and spatial capture-recapture data, respectively. The book provides R code of Metropolis-Hastings algorithms that allow efficient computing of these complex models. The book is aimed at graduate students and researchers who are interested in using and further developing these models.

ISBN: 9783031645181

Standard No.: 10.1007/978-3-031-64518-1doiSubjects--Topical Terms:

656675
Population
--Statistical methods.

LC Class. No.: HA155

Dewey Class. No.: 304.60727

Bayesian analysis of spatially structured population dynamics
LDR:01895nmm a2200337 a 4500 001 2380033
003 DE-He213
005 20241031115727.0
006 m d
007 cr nn 008maaau
008 250418s2024 sz s 0 eng d
020 $a 9783031645181 $q (electronic bk.)
020 $a 9783031645174 $q (paper)
024 7 $a 10.1007/978-3-031-64518-1 $2 doi
035 $a 978-3-031-64518-1
040 $a GP $c GP
041 0 $a eng
050 4 $a HA155
072 7 $a PSAF $2 bicssc
072 7 $a SCI020000 $2 bisacsh
072 7 $a PSAF $2 thema
082 0 4 $a 304.60727 $2 23
090 $a HA155 $b .Z63 2024
100 1 $a Zhao, Qing. $3 3185824
245 1 0 $a Bayesian analysis of spatially structured population dynamics $h [electronic resource] / $c by Qing Zhao.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2024.
300 $a xvi, 386 p. : $b ill. (chiefly color), digital ; $c 24 cm.
490 1 $a Ecological studies, analysis and synthesis, $x 2196-971X ; $v v. 253
505 0 $a Chapter 1: Background -- Chapter 2: Occupancy Models -- Chapter 3: N-mixture models -- Chapter 4: Integrated population models (IPMs) -- Chapter 5: Spatial capture-recapture (SCR) models -- Chapter 6: Summary and outlook.
520 $a The book introduces a series of state-of-art Bayesian models that can be used to understand and predict spatially structured population dynamics in our changing world. Several chapters are devoted to introducing models that utilize detection/non-detection data, count data, combined count and capture-recapture data, and spatial capture-recapture data, respectively. The book provides R code of Metropolis-Hastings algorithms that allow efficient computing of these complex models. The book is aimed at graduate students and researchers who are interested in using and further developing these models.
650 0 $a Population $x Statistical methods. $3 656675
650 0 $a Bayesian statistical decision theory. $3 551404
650 1 4 $a Ecology. $3 516476
650 2 4 $a Biostatistics. $3 1002712
650 2 4 $a Community and Population Ecology. $3 3594187
650 2 4 $a Ecological Modelling. $3 3592270
650 2 4 $a Landscape Ecology. $3 890961
650 2 4 $a Zoology. $3 518878
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Ecological studies, analysis and synthesis ; $v v. 253. $3 3733234
856 4 0 $u https://doi.org/10.1007/978-3-031-64518-1
950 $a Biomedical and Life Sciences (SpringerNature-11642)