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Applications of Remote Sensing Data in Mapping of Forest Growing Stock and Biomass
Applications of Remote Sensing Data in Mapping of Forest Growing Stock and Biomass
Autore Aranha José
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (276 p.)
Soggetto topico Geography
Research and information: general
Soggetto non controllato above-ground biomass
aboveground biomass
AGB estimation and mapping
allometric equation
ALOS DSM
ALOS-2 L band SAR
bark roughness
bioenergy
biomass density
biomass estimation
DBH
diameter at breast height
ecosystem services
forest AGC estimation
forest biomass estimation
forest growing stock volume
forest inventory data
forest succession
forest type
GEOMON
GIS
individual tree detection
landsat
Landsat 8 OLI
Landsat dataset
leaf area index
LiDAR
machine learning
machine learning algorithms
mangroves
map quality
multiple ES interactions
multisource remote sensing
nondestructive method
norway spruce
ordinary kriging
Pinus massoniana plantations
plant area index
random forest
remote sensing
seasonal images
sentinel 2
Sentinel-1 C band SAR
Sentinel-2 MSI
Sentinel-2A
shrubs biomass
spatiotemporal evolution
SPOT6 imagery
stand volume
stepwise regression
subtropical forest
subtropical forests
support vector machine for regression
synergy
terrestrial laser scanning
trade-off
tree height
UAV LiDAR
urban vegetation
valley basin
variable selection
vegetation indices
WorldView-2
Xuzhou
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557474803321
Aranha José  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Applied regression and modeling : a computer integrated approach / / Amar Sahay
Applied regression and modeling : a computer integrated approach / / Amar Sahay
Autore Sahay Amar
Edizione [First edition.]
Pubbl/distr/stampa New York, New York (222 East 46th Street, New York, NY 10017) : , : Business Expert Press, , 2016
Descrizione fisica 1 online resource (xi, 195 pages)
Disciplina 519.536
Collana Quantitative approaches to decision making collection
Soggetto topico Regression analysis - Data processing
Soggetto genere / forma Electronic books.
Soggetto non controllato coefficient of correlation
correlation
dependent variable
dummy variable
independent variable
interaction model
least squares estimates
least squares prediction equation
linear regression
multiple coefficient of determination
multiple regression and modeling
nonlinear models
regression line
residual analysis
scatterplot
second-order model
stepwise regression
ISBN 1-63157-330-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Introduction to regression and correlation analysis -- 2. Regression, covariance, and coefficient of correlation -- 3. Illustration of least squares regression method -- 4. Regression analysis using a computer -- 5. Multiple regression: computer analysis -- 6. Model building and computer analysis -- 7. Models with qualitative independent (dummy) variables, interaction models, all subset and stepwise regression models with computer analysis -- 8. Notes on implementation of regression models -- Bibliography -- Index.
Record Nr. UNINA-9910465298803321
Sahay Amar  
New York, New York (222 East 46th Street, New York, NY 10017) : , : Business Expert Press, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Applied regression and modeling : a computer integrated approach / / Amar Sahay
Applied regression and modeling : a computer integrated approach / / Amar Sahay
Autore Sahay Amar
Edizione [First edition.]
Pubbl/distr/stampa New York, New York (222 East 46th Street, New York, NY 10017) : , : Business Expert Press, , 2016
Descrizione fisica 1 online resource (xi, 195 pages)
Disciplina 519.536
Collana Quantitative approaches to decision making collection
Soggetto topico Regression analysis - Data processing
Soggetto non controllato coefficient of correlation
correlation
dependent variable
dummy variable
independent variable
interaction model
least squares estimates
least squares prediction equation
linear regression
multiple coefficient of determination
multiple regression and modeling
nonlinear models
regression line
residual analysis
scatterplot
second-order model
stepwise regression
ISBN 1-63157-330-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Introduction to regression and correlation analysis -- 2. Regression, covariance, and coefficient of correlation -- 3. Illustration of least squares regression method -- 4. Regression analysis using a computer -- 5. Multiple regression: computer analysis -- 6. Model building and computer analysis -- 7. Models with qualitative independent (dummy) variables, interaction models, all subset and stepwise regression models with computer analysis -- 8. Notes on implementation of regression models -- Bibliography -- Index.
Record Nr. UNINA-9910798463403321
Sahay Amar  
New York, New York (222 East 46th Street, New York, NY 10017) : , : Business Expert Press, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Applied regression and modeling : a computer integrated approach / / Amar Sahay
Applied regression and modeling : a computer integrated approach / / Amar Sahay
Autore Sahay Amar
Edizione [First edition.]
Pubbl/distr/stampa New York, New York (222 East 46th Street, New York, NY 10017) : , : Business Expert Press, , 2016
Descrizione fisica 1 online resource (xi, 195 pages)
Disciplina 519.536
Collana Quantitative approaches to decision making collection
Soggetto topico Regression analysis - Data processing
Soggetto non controllato coefficient of correlation
correlation
dependent variable
dummy variable
independent variable
interaction model
least squares estimates
least squares prediction equation
linear regression
multiple coefficient of determination
multiple regression and modeling
nonlinear models
regression line
residual analysis
scatterplot
second-order model
stepwise regression
ISBN 1-63157-330-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Introduction to regression and correlation analysis -- 2. Regression, covariance, and coefficient of correlation -- 3. Illustration of least squares regression method -- 4. Regression analysis using a computer -- 5. Multiple regression: computer analysis -- 6. Model building and computer analysis -- 7. Models with qualitative independent (dummy) variables, interaction models, all subset and stepwise regression models with computer analysis -- 8. Notes on implementation of regression models -- Bibliography -- Index.
Record Nr. UNINA-9910822169603321
Sahay Amar  
New York, New York (222 East 46th Street, New York, NY 10017) : , : Business Expert Press, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Big Data Analytics and Information Science for Business and Biomedical Applications
Big Data Analytics and Information Science for Business and Biomedical Applications
Autore Ahmed S. Ejaz
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 online resource (246 p.)
Soggetto topico Humanities
Social interaction
Soggetto non controllato abdominal aortic aneurysm
ant colony system
asymptotic theory
bayesian spatial mixture model
causal and dilated convolutional neural networks
deep learning
DWD
EEG/MEG data
elastic net
emulation
ensembling
entropy-based robust EM
estimation consistency
feature fusion
feature representation
financial time series
generalized linear models
high dimension
high dimensional predictors
high dimensional time-series
high-dimensional
high-dimensional data
information complexity criteria
inverse problem
L2-consistency
Lasso
Medicare data
missingness mechanism
mixture regression
model selection
multicategory classification
nonlocal prior
nonparamteric boostrap
nuisance
penalty methods
post-selection inference
prediction
proximal algorithm
random subspaces
regularization
segmentation
sparse group lasso
sparse PCA
stepwise regression
strong selection consistency
text mining
trend analysis
unconventional likelihood
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557614803321
Ahmed S. Ejaz  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui