Computational Mathematics and Applied Statistics

• Format: eBook
• Language: English
• Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
• Subjects: Computer science; Information technology industries; absolute ruin; abundance models; adaptive neuro fuzzy system; adaptive sampling; biomedical data; bivariate beta; Burr III distribution; characterization; climate change; climate data; community comparisons; compounding distributions; constant force of interest; continuous distribution; data analysis; delayed reporting times; descriptive statistics; detection limit; discretizing; diversity in space (time); diversity measures; ecological modeling; eigenfunctions; eigenvalues; engineering data; entropy; epidemiology; estimation; Euclidean distance timed and spaced; evaporation; exponential sums; extreme subtropical cyclones; extreme value modeling; extropy; firefly algorithm; gamma; generalized odd linear distribution; generating function; genetic algorithm; Gerber-Shiu function; goodness-of-fit; Hankel matrix; hazard rate function; hierarchical Bayesian; hypergeometric function; inferential statistics; Lambert W function; least-square method; Lindley distribution; Lomax distribution; Marine Heatwaves; Markov chain Monte Carlo; maximum likelihood estimation; meteorological station; middle-censoring; modified Lindley distribution; moments; Monte Carlo simulation; multivariable panel data cluster analysis; n/a; Nadarajah-Haghighi distribution; natural discrete Lindley distribution; oceanic Rossby waves; order statistics; over dispersion; particle swarm optimization; prevalence; Prony method; Pseudo Lindley distribution; residual analysis; sampling; sea surface temperature anomalies; sequential; shift in process variance; short time Fourier transform; simulation; small area estimation; sparse expansion; spatial analysis; species abundance data plots; species richness indices; statistical analysis; statistical indices; stochastic ordering; stress strength model; survival discretization method; Teissier distribution; trend analysis; trigonometric distributions; trigonometric function; undernutrition; unit Teissier distribution; Volterra equation; wavelet analysis
• Online Access: Open Access: DOAB: description of the publication; Open Access: DOAB, download the publication
• Physical Description: 1 online resource (334 p.)
• ISBN: 9783036575469; 9783036575476; books978-3-0365-7547-6
• Access: Open Access

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.