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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Bibliographic Details
Other Authors: Ferreira, Sandra (Editor)
Format: Electronic Book Chapter
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
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Online Access:DOAB: download the publication
DOAB: description of the publication
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520 |a 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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650 7 |a Information technology industries  |2 bicssc 
650 7 |a Computer science  |2 bicssc 
653 |a descriptive statistics 
653 |a inferential statistics 
653 |a species abundance data plots 
653 |a abundance models 
653 |a species richness indices 
653 |a diversity measures 
653 |a sampling 
653 |a community comparisons 
653 |a diversity in space (time) 
653 |a extreme value modeling 
653 |a epidemiology 
653 |a adaptive sampling 
653 |a trend analysis 
653 |a ecological modeling 
653 |a detection limit 
653 |a Pseudo Lindley distribution 
653 |a survival discretization method 
653 |a over dispersion 
653 |a moments 
653 |a simulation 
653 |a maximum likelihood estimation 
653 |a goodness-of-fit 
653 |a trigonometric distributions 
653 |a modified Lindley distribution 
653 |a engineering data 
653 |a climate data 
653 |a statistical analysis 
653 |a Burr III distribution 
653 |a stochastic ordering 
653 |a middle-censoring 
653 |a order statistics 
653 |a Teissier distribution 
653 |a unit Teissier distribution 
653 |a Lambert W function 
653 |a entropy 
653 |a extropy 
653 |a estimation 
653 |a compounding distributions 
653 |a Lindley distribution 
653 |a Lomax distribution 
653 |a stress strength model 
653 |a characterization 
653 |a Nadarajah-Haghighi distribution 
653 |a data analysis 
653 |a evaporation 
653 |a adaptive neuro fuzzy system 
653 |a firefly algorithm 
653 |a particle swarm optimization 
653 |a genetic algorithm 
653 |a statistical indices 
653 |a Euclidean distance timed and spaced 
653 |a meteorological station 
653 |a multivariable panel data cluster analysis 
653 |a biomedical data 
653 |a trigonometric function 
653 |a continuous distribution 
653 |a undernutrition 
653 |a prevalence 
653 |a hierarchical Bayesian 
653 |a spatial analysis 
653 |a small area estimation 
653 |a Markov chain Monte Carlo 
653 |a wavelet analysis 
653 |a extreme subtropical cyclones 
653 |a climate change 
653 |a sea surface temperature anomalies 
653 |a oceanic Rossby waves 
653 |a Marine Heatwaves 
653 |a Gerber-Shiu function 
653 |a constant force of interest 
653 |a Volterra equation 
653 |a absolute ruin 
653 |a delayed reporting times 
653 |a generalized odd linear distribution 
653 |a hazard rate function 
653 |a residual analysis 
653 |a Monte Carlo simulation 
653 |a Prony method 
653 |a exponential sums 
653 |a eigenfunctions 
653 |a eigenvalues 
653 |a sparse expansion 
653 |a generating function 
653 |a Hankel matrix 
653 |a short time Fourier transform 
653 |a least-square method 
653 |a bivariate beta 
653 |a gamma 
653 |a hypergeometric function 
653 |a sequential 
653 |a shift in process variance 
653 |a discretizing 
653 |a natural discrete Lindley distribution 
653 |a n/a 
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856 4 0 |a www.oapen.org  |u https://directory.doabooks.org/handle/20.500.12854/100876  |7 0  |z DOAB: description of the publication