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Computational Mathematics and Applied Statistics

Rapid advances in modelling research have created new challenges and opportunities for statisticians. Statistical inference in observational studies and many other emerging fields have motivated statisticians worldwide to develop cutting-edge methods and analytical strategies. The aim of this reprin...

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Format: Online
Idioma:anglès
Publicat: MDPI - Multidisciplinary Digital Publishing Institute 2023
Matèries:
descriptive statistics
inferential statistics
species abundance data plots
abundance models
species richness indices
diversity measures
sampling
community comparisons
diversity in space (time)
extreme value modeling
epidemiology
adaptive sampling
trend analysis
ecological modeling
detection limit
Pseudo Lindley distribution
survival discretization method
over dispersion
moments
simulation
maximum likelihood estimation
goodness-of-fit
trigonometric distributions
modified Lindley distribution
engineering data
climate data
statistical analysis
Burr III distribution
stochastic ordering
middle-censoring
order statistics
Teissier distribution
unit Teissier distribution
Lambert W function
entropy
extropy
estimation
compounding distributions
Lindley distribution
Lomax distribution
stress strength model
characterization
Nadarajah–Haghighi distribution
data analysis
evaporation
adaptive neuro fuzzy system
firefly algorithm
particle swarm optimization
genetic algorithm
statistical indices
Euclidean distance timed and spaced
meteorological station
multivariable panel data cluster analysis
biomedical data
trigonometric function
continuous distribution
undernutrition
prevalence
hierarchical Bayesian
spatial analysis
small area estimation
Markov chain Monte Carlo
wavelet analysis
extreme subtropical cyclones
climate change
sea surface temperature anomalies
oceanic Rossby waves
Marine Heatwaves
Gerber–Shiu function
constant force of interest
Volterra equation
absolute ruin
delayed reporting times
generalized odd linear distribution
hazard rate function
residual analysis
Monte Carlo simulation
Prony method
exponential sums
eigenfunctions
eigenvalues
sparse expansion
generating function
Hankel matrix
short time Fourier transform
least-square method
bivariate beta
gamma
hypergeometric function
sequential
shift in process variance
discretizing
natural discrete Lindley distribution
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thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries
thema EDItEUR::U Computing and Information Technology::UY Computer science
Accés en línia:ONIX_20230623_9783036575469_108
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Sumari:Rapid advances in modelling research have created new challenges and opportunities for statisticians. Statistical inference in observational studies and many other emerging fields have motivated statisticians worldwide to develop cutting-edge methods and analytical strategies. The aim of this reprint is to showcase the applications and methodological research in all fields of computational statistics. This reprint will provide a forum for computer scientists, mathematicians, and statisticians working in a variety of areas in statistics, including biometrics, econometrics, data analysis, graphics, and simulation.

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