CLIENTES - ACCESO PRIVADO    Suscribirse a nuestras novedades (RSS)        
 
BÚSQUEDA:        Buscar
Libros nacionales y extranjeros para bibliotecas,
 
 
Búsqueda avanzada
Libros nacionales y extranjeros para bibliotecas, escuelas, universidades, librerías
     
         
  Arte
Astronomía
Botánica
Ciencia y conocimiento
Ciencias aplicadas / tecnología
Ciencias biológicas
Ciencias sociales
Economía
Filosofía
Física
Generalidades
Geografía
Geología
Historia
Infantil / juvenil
Informática
Ingeniería
Lingüística / filología
Literatura
Matemáticas
Material complementario
Medicina
Ocio
Paleontología / fósiles
Química
Religión y teología
Zoología
   
   
 
   
Los Andes Libros s.l. + 34 935 00 39 13
C/ Andalusia, 3 Local 5 - 08014 Barcelona
 
Hurricane Climatology. A Modern Statistical Guide Using R
James B. Elsner and Thomas H. Jagger
Hurricane Climatology. A Modern Statistical Guide Using R
ean9780199827633
temáticaMATEMÁTICAS
año Publicación2013
idiomaINGLÉS
editorialOXFORD UNIVERSITY PRESS
formatoCARTONÉ


72,60 €


   PEDIR
 
NOVEDAD
 
Últimas novedades
matemáticas
Computer code is included in the text
Code can be run to create all the figures and maps that are shown
Hurricanes are nature’s most destructive storms and they are becoming more powerful as the globe warms. Hurricane Climatology explains how to analyze and model hurricane data to better understand and predict present and future hurricane activity. It uses the open-source and now widely used R software for statistical computing to create a tutorial-style manual for independent study, review, and reference. The text is written around the code that when copied will reproduce the graphs, tables, and maps. The approach is different from other books that use R. It focuses on a single topic and explains how to make use of R to better understand the topic. The book is organized into two parts, the first of which provides material on software, statistics, and data. The second part presents methods and models used in hurricane climate research.
indíce
I Software, Statistics, and Data
1 Hurricanes, Climate, and Statistics
1.1 Hurricanes
1.2 Climate
1.3 Statistics
1.4 R
1.5 Organization
2 R Tutorial
2.1 Introduction
2.2 Data
2.2.1 Small amounts
2.2.2 Functions
2.2.3 Vectors
2.2.4 Structured data
2.2.5 Logic
2.2.6 Imports
2.3 Tables and Plots
3 Classical Statistics
3.1 Descriptive Statistics
3.2 Probability and Distributions
3.3 One-Sample Tests
3.4 Wilcoxon Signed-Rank Test
3.5 Two-Sample Tests
3.6 Statistical Formula
3.7 Compare Variances
3.8 Two-Sample Wilcoxon Test
3.9 Correlation
3.10 Linear Regression
3.11 Multiple Linear Regression
4 Bayesian Statistics
4.1 Learning About the Proportion of Landfalls
4.2 Inference
4.3 Credible Interval
4.4 Predictive Density
4.5 Is Bayes Rule Needed?
4.6 Bayesian Computation
5 Graphs and Maps
5.1 Graphs
5.2 Time series
5.3 Maps
5.4 Coordinate Reference Systems
5.5 Export
5.6 Other Graphic Packages
6 Data Sets
6.1 Best-Tracks
6.2 Annual Aggregation
6.3 Coastal County Winds
6.4 NetCDF Files
II Models and Methods
7 Frequency Models
7.1 Counts
7.2 Environmental Variables
7.3 Bivariate Relationships
7.4 Poisson Regression
7.5 Model Predictions
7.6 Forecast Skill
7.7 Nonlinear Regression Structure
7.8 Zero-Inflated Count Model
7.9 Machine Learning
7.10 Logistic Regression
8 Intensity Models 211
8.1 Lifetime Highest Intensity
8.2 Fastest Hurricane Winds
8.3 Categorical Wind Speeds by County
9 Spatial Models
9.1 Track Hexagons
9.2 SST Data
9.3 SST and Intensity
9.4 Spatial Autocorrelation
9.5 Spatial Regression Models
9.6 Spatial Interpolation
10 Time Series Models
10.1 Time Series Overlays
10.2 Discrete Time Series
10.3 Change Points
10.4 Continuous Time Series
10.5 Time Series Network
11 Cluster Models
11.1 Time Clusters
11.2 Spatial Clusters
11.3 Feature Clusters
12 Bayesian Models
12.1 Long-Range Outlook
12.2 Seasonal Model
12.3 Consensus Model
12.4 Space-Time Model
13 Impact Models
13.1 Extreme Losses
13.2 Future Wind Damage
A Functions, Packages, and Data
A.1 Functions
A.2 Packages
A.3 Data Sets
B Install Package From Source



Finançat per UE