Language:
English
繁體中文
Help
回圖書館首頁
手機版館藏查詢
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Bayesian modeling of spatio-temporal...
~
Sahu, Sujit K.,
Linked to FindBook
Google Book
Amazon
博客來
Bayesian modeling of spatio-temporal data with R /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Bayesian modeling of spatio-temporal data with R // Sujit K. Sahu.
Author:
Sahu, Sujit K.,
Published:
Boca Raton :CRC Press, : 2022.,
Description:
xxii, 411 p. :ill. (some col.), maps (some col.) ;25 cm.
[NT 15003449]:
1. Examples of spatio-temporal data -- 2. Jargon of spatial and spatio-temporal modeling -- 3. Exploratory data analysis methods -- 4. Bayesian inference methods -- 5. Bayesian computation methods -- 6. Bayesian modeling for point referenced spatial data -- 7. Bayesian modeling for point referenced spatio-temporal data -- 8. Practical examples of point referenced data modeling -- 9. Bayesian forecasting for point referenced data -- 10. Bayesian modeling for areal unit data -- 11. Further examples of areal data modeling -- 12. Gaussian processes for data science and other applications -- Appendix A. Statistical densities used in the book -- Appendix B. Answers to selected exercises
Subject:
Spatial analysis (Statistics) - Mathematical models. -
ISBN:
9780367277987
Bayesian modeling of spatio-temporal data with R /
Sahu, Sujit K.,
Bayesian modeling of spatio-temporal data with R /
Sujit K. Sahu. - 1st ed. - Boca Raton :CRC Press,2022. - xxii, 411 p. :ill. (some col.), maps (some col.) ;25 cm. - Chapman & Hall/CRC interdisciplinary statistics series. - Interdisciplinary statistics..
Includes bibliographical references (p. 395-406) and index.
1. Examples of spatio-temporal data -- 2. Jargon of spatial and spatio-temporal modeling -- 3. Exploratory data analysis methods -- 4. Bayesian inference methods -- 5. Bayesian computation methods -- 6. Bayesian modeling for point referenced spatial data -- 7. Bayesian modeling for point referenced spatio-temporal data -- 8. Practical examples of point referenced data modeling -- 9. Bayesian forecasting for point referenced data -- 10. Bayesian modeling for areal unit data -- 11. Further examples of areal data modeling -- 12. Gaussian processes for data science and other applications -- Appendix A. Statistical densities used in the book -- Appendix B. Answers to selected exercises
ISBN: 9780367277987GBP89.99
Nat. Bib. No.: GBC1L1301bnb
Nat. Bib. Agency Control No.: 020430509UkSubjects--Topical Terms:
627225
Spatial analysis (Statistics)
--Mathematical models.
LC Class. No.: QA279.5 / .S34 2022
Dewey Class. No.: 519.5/42
Bayesian modeling of spatio-temporal data with R /
LDR
:01904cam a2200313 a 450
001
2319539
003
OCoLC
005
20231107204407.0
008
230908s2022 fluab b 001 0 eng d
015
$a
GBC1L1301
$2
bnb
016
7
$a
020430509
$2
Uk
020
$a
9780367277987
$q
(hbk.) :
$c
GBP89.99
020
$a
0367277980
$q
(hbk.)
020
$a
9781032209579
$q
(pbk.)
020
$a
1032209577
$q
(pbk.)
020
$z
9780429318443
$q
(ebook)
020
$z
9781000543612
$q
(ebook)
020
$z
9781000543698
$q
(epub)
035
$a
(OCoLC)1295111234
040
$a
UKMGB
$b
eng
$c
UKMGB
$d
OCLCO
$d
OCLCF
$d
YDX
$d
FIE
$d
UIU
$d
GPRCL
$d
OCLCO
050
# 4
$a
QA279.5
$b
.S34 2022
082
0 4
$a
519.5/42
$2
23
100
1
$a
Sahu, Sujit K.,
$e
author.
$3
3641008
245
1 0
$a
Bayesian modeling of spatio-temporal data with R /
$c
Sujit K. Sahu.
250
$a
1st ed.
260
#
$a
Boca Raton :
$b
CRC Press,
$c
2022.
300
$a
xxii, 411 p. :
$b
ill. (some col.), maps (some col.) ;
$c
25 cm.
490
1
$a
Chapman & Hall/CRC interdisciplinary statistics series
504
$a
Includes bibliographical references (p. 395-406) and index.
505
0 0
$a
1. Examples of spatio-temporal data -- 2. Jargon of spatial and spatio-temporal modeling -- 3. Exploratory data analysis methods -- 4. Bayesian inference methods -- 5. Bayesian computation methods -- 6. Bayesian modeling for point referenced spatial data -- 7. Bayesian modeling for point referenced spatio-temporal data -- 8. Practical examples of point referenced data modeling -- 9. Bayesian forecasting for point referenced data -- 10. Bayesian modeling for areal unit data -- 11. Further examples of areal data modeling -- 12. Gaussian processes for data science and other applications -- Appendix A. Statistical densities used in the book -- Appendix B. Answers to selected exercises
650
# 0
$a
Spatial analysis (Statistics)
$x
Mathematical models.
$3
627225
650
# 0
$a
Bayesian statistical decision theory
$x
Data processing.
$3
731262
650
# 0
$a
R (Computer program language)
$3
784593
776
0 8
$i
Electronic version:
$a
Sahu, Sujit K.
$t
Bayesian Modelling of Spatio-Temporal Data with R.
$b
First edition.
$d
Boca Raton : Chapman and Hall/CRC, 2022
$z
9780429318443
$w
(OCoLC)1273727413
830
0
$a
Interdisciplinary statistics.
$3
626308
based on 0 review(s)
ISSUES
壽豐校區(SF Campus)
-
last issue:
1 (2023/11/16)
Details
Location:
ALL
六樓西文書區HC-Z(6F Western Language Books)
Year:
Volume Number:
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
W0201573
六樓西文書區HC-Z(6F Western Language Books)
01.外借(書)_YB
一般圖書
QA279.5 S34 2022
一般使用(Normal)
On shelf
0
Reserve
1 records • Pages 1 •
1
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login