語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Statistical Methods and Applications...
~
SpringerLink (Online service)
Statistical Methods and Applications in Forestry and Environmental Sciences
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Statistical Methods and Applications in Forestry and Environmental Sciences/ edited by Girish Chandra, Raman Nautiyal, Hukum Chandra.
其他作者:
Chandra, Hukum.
面頁冊數:
XII, 288 p.online resource. :
Contained By:
Springer Nature eBook
標題:
Big Data/Analytics. -
電子資源:
https://doi.org/10.1007/978-981-15-1476-0
ISBN:
9789811514760
Statistical Methods and Applications in Forestry and Environmental Sciences
Statistical Methods and Applications in Forestry and Environmental Sciences
[electronic resource] /edited by Girish Chandra, Raman Nautiyal, Hukum Chandra. - 1st ed. 2020. - XII, 288 p.online resource. - Forum for Interdisciplinary Mathematics,2364-6748. - Forum for Interdisciplinary Mathematics,2.
Chapter 1. Measurement, Data and Statistics: A Historical Voyage in Indian Forestry -- Chapter 2. National Forest Inventory in India: Developments Towards a New Design to Meet Emerging Challenges -- Chapter 3. Internet of Things in Forestry and Environmental Sciences -- Chapter 4. Inverse Adaptive Stratified Random Sampling -- Chapter 5. Improved Nonparametric Estimation Using Partially Ordered Sets -- Chapter 6. Bayesian Inference of a Finite Population Mean Under Length-Biased Sampling -- Chapter 7. Calibration Approach Based Estimators for Finite Population Mean in Multistage Stratified Random Sampling -- Chapter 8. A Joint Calibration Estimator of Population Total Under Entropy Distance Function Based on Dual Frame Surveys -- Chapter 9. Fusing Classical Theories and Biomechanics Into Forest Modelling -- Chapter 10. Statistical Multivariate Methods for Decision Making in Classification of Water Quality Data and Management of Water Resources -- Chapter 11. Investigating Selection Criteria of Constrained Cluster Analysis: Applications in Forestry -- Chapter 12. Ridge Regression Model for the Estimation of Total Carbon Sequestered by Forest Species -- Chapter 13. Some Investigations on Designs for Mixture Experiments with Process Variable -- Chapter 14. Development in Copula Applications in Forestry and Environmental Sciences -- Chapter 15. Forest Cover Type Prediction Using Model Averaging -- Chapter 16. Small Area Estimation for Skewed Semicontinuous Spatially Structured Responses -- Chapter 17. Small Area Estimation for Total Basal Cover in the State of Maharashtra, India -- Chapter 18. Estimation of Abundance of Asiatic Elephants in Elephant Reserves of Kerala State, India -- Chapter 19. Exploration of Metagenomics Tools for Analysis of Forest Soil Microbial Diversity and its Annotation -- Chapter 20. Integrated Survey Scheme to Capture Forestry Related Data in Bangladesh: Beyond the Traditional Approach.
This book presents recent developments in statistical methodologies with particular relevance to applications in forestry and environmental sciences. It discusses important methodologies like ranked set sampling, adaptive cluster sampling, small area estimation, calibration approach-based estimators, design of experiments, multivariate techniques, Internet of Things, and ridge regression methods. It also covers the history of the implementation of statistical techniques in Indian forestry and the National Forest Inventory of India. The book is a valuable resource for applied statisticians, students, researchers, and practitioners in the forestry and environment sector. It includes real-world examples and case studies to help readers apply the techniques discussed. It also motivates academicians and researchers to use new technologies in the areas of forestry and environmental sciences with the help of software like R, MATLAB, Statistica, and Mathematica.
ISBN: 9789811514760
Standard No.: 10.1007/978-981-15-1476-0doiSubjects--Topical Terms:
1106909
Big Data/Analytics.
LC Class. No.: QA276-280
Dewey Class. No.: 519.5
Statistical Methods and Applications in Forestry and Environmental Sciences
LDR
:04386nam a22004215i 4500
001
1023556
003
DE-He213
005
20200702224708.0
007
cr nn 008mamaa
008
210318s2020 si | s |||| 0|eng d
020
$a
9789811514760
$9
978-981-15-1476-0
024
7
$a
10.1007/978-981-15-1476-0
$2
doi
035
$a
978-981-15-1476-0
050
4
$a
QA276-280
072
7
$a
PBT
$2
bicssc
072
7
$a
MED090000
$2
bisacsh
072
7
$a
PBT
$2
thema
072
7
$a
MBNS
$2
thema
082
0 4
$a
519.5
$2
23
245
1 0
$a
Statistical Methods and Applications in Forestry and Environmental Sciences
$h
[electronic resource] /
$c
edited by Girish Chandra, Raman Nautiyal, Hukum Chandra.
250
$a
1st ed. 2020.
264
1
$a
Singapore :
$b
Springer Singapore :
$b
Imprint: Springer,
$c
2020.
300
$a
XII, 288 p.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
490
1
$a
Forum for Interdisciplinary Mathematics,
$x
2364-6748
505
0
$a
Chapter 1. Measurement, Data and Statistics: A Historical Voyage in Indian Forestry -- Chapter 2. National Forest Inventory in India: Developments Towards a New Design to Meet Emerging Challenges -- Chapter 3. Internet of Things in Forestry and Environmental Sciences -- Chapter 4. Inverse Adaptive Stratified Random Sampling -- Chapter 5. Improved Nonparametric Estimation Using Partially Ordered Sets -- Chapter 6. Bayesian Inference of a Finite Population Mean Under Length-Biased Sampling -- Chapter 7. Calibration Approach Based Estimators for Finite Population Mean in Multistage Stratified Random Sampling -- Chapter 8. A Joint Calibration Estimator of Population Total Under Entropy Distance Function Based on Dual Frame Surveys -- Chapter 9. Fusing Classical Theories and Biomechanics Into Forest Modelling -- Chapter 10. Statistical Multivariate Methods for Decision Making in Classification of Water Quality Data and Management of Water Resources -- Chapter 11. Investigating Selection Criteria of Constrained Cluster Analysis: Applications in Forestry -- Chapter 12. Ridge Regression Model for the Estimation of Total Carbon Sequestered by Forest Species -- Chapter 13. Some Investigations on Designs for Mixture Experiments with Process Variable -- Chapter 14. Development in Copula Applications in Forestry and Environmental Sciences -- Chapter 15. Forest Cover Type Prediction Using Model Averaging -- Chapter 16. Small Area Estimation for Skewed Semicontinuous Spatially Structured Responses -- Chapter 17. Small Area Estimation for Total Basal Cover in the State of Maharashtra, India -- Chapter 18. Estimation of Abundance of Asiatic Elephants in Elephant Reserves of Kerala State, India -- Chapter 19. Exploration of Metagenomics Tools for Analysis of Forest Soil Microbial Diversity and its Annotation -- Chapter 20. Integrated Survey Scheme to Capture Forestry Related Data in Bangladesh: Beyond the Traditional Approach.
520
$a
This book presents recent developments in statistical methodologies with particular relevance to applications in forestry and environmental sciences. It discusses important methodologies like ranked set sampling, adaptive cluster sampling, small area estimation, calibration approach-based estimators, design of experiments, multivariate techniques, Internet of Things, and ridge regression methods. It also covers the history of the implementation of statistical techniques in Indian forestry and the National Forest Inventory of India. The book is a valuable resource for applied statisticians, students, researchers, and practitioners in the forestry and environment sector. It includes real-world examples and case studies to help readers apply the techniques discussed. It also motivates academicians and researchers to use new technologies in the areas of forestry and environmental sciences with the help of software like R, MATLAB, Statistica, and Mathematica.
650
2 4
$a
Big Data/Analytics.
$3
1106909
650
2 4
$a
Statistics for Business, Management, Economics, Finance, Insurance.
$3
1211158
650
1 4
$a
Statistics for Life Sciences, Medicine, Health Sciences.
$3
670172
650
0
$a
Big data.
$3
981821
650
0
$a
Forestry.
$3
668651
650
0
$a
Statistics .
$3
1253516
700
1
$a
Chandra, Hukum.
$e
editor.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1319525
700
1
$a
Nautiyal, Raman.
$e
editor.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1319524
700
1
$a
Chandra, Girish.
$e
editor.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1319523
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9789811514753
776
0 8
$i
Printed edition:
$z
9789811514777
776
0 8
$i
Printed edition:
$z
9789811514784
830
0
$a
Forum for Interdisciplinary Mathematics,
$x
2364-6748 ;
$v
2
$3
1261985
856
4 0
$u
https://doi.org/10.1007/978-981-15-1476-0
912
$a
ZDB-2-SMA
912
$a
ZDB-2-SXMS
950
$a
Mathematics and Statistics (SpringerNature-11649)
950
$a
Mathematics and Statistics (R0) (SpringerNature-43713)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入