Editorial to the special issue: Recent statistical methods for data analysis, applied economics, business & finance

DOI10.1080/02664763.2021.1991180OpenAlexW3208343152MaRDI QIDQ5861171

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Publication date: 4 March 2022

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2021.1991180

Mathematics Subject Classification ID

Proceedings of conferences of miscellaneous specific interest (00B25) Applications of statistics (62Pxx)

Cites Work

• Unnamed Item
• Optimal bandwidth estimators of kernel density functionals for contaminated data
• Comparison of different estimation methods for extreme value distribution
• Tail conditional moment for generalized skew-elliptical distributions
• Statistical inference for distributions with one Poisson conditional
• A novel perspective for parameter estimation of seemingly unrelated nonlinear regression
• Minimizing the expected value of the asymmetric loss function and an inequality for the variance of the loss
• Optimal B-robust estimators for the parameters of the power Lindley distribution
• Unit-Lindley mixed-effect model for proportion data
• CD-vine model for capturing complex dependence
• A new outlier detection method based on convex optimization: application to diagnosis of Parkinson’s disease
• Binary particle swarm optimization as a detection tool for influential subsets in linear regression
• A new robust ridge parameter estimator based on search method for linear regression model
• Some Shrinkage estimators based on median ranked set sampling
• A new alternative estimation method for Liu-type logistic estimator via particle swarm optimization: an application to data of collapse of Turkish commercial banks during the Asian financial crisis
• The Lomax regression model with residual analysis: an application to insurance data
• A multivariate Poisson regression model for count data
• Testing fractional unit roots with non-linear smooth break approximations using Fourier functions
• On the performance of the variance ratio unit root tests with flexible Fourier form
• Comparison of forecast accuracy ofAtaand exponential smoothing
• Forecasting drought using neural network approaches with transformed time series data
• Hierarchies in communities of UK stock market from the perspective of Brexit
• The role of social capital in environmental protection efforts: evidence from Turkey
• Determining the relationship between stock return and financial performance: an analysis on Turkish deposit banks
• Restricted calibration and weight trimming approaches for estimation of the population total in business statistics
• Econometric models of duration data in entrepreneurship with an application to start-ups' time-to-funding by venture capitalists (VCs)
• Assessment of longevity risk: credibility approach
• Stochastic cusp catastrophe model and its Bayesian computations
• Reject inference methods in credit scoring
• Some dominance indices to determine market concentration
• A two-step machine learning approach to predict S&P 500 bubbles
• Mixed Lasso estimator for stochastic restricted regression models
• Threshold single multiplicative neuron artificial neural networks for non-linear time series forecasting
• Estimation in the partially nonlinear model by continuous optimization
• A method for detection of Mode-Mixing problem
• Efficient experimental design for dose response modelling
• Taguchi based Case study in the automotive industry: nonconformity decreasing with use of Six Sigma methodology
• A comparative study of computation approaches of the generalized F-test
• The design of multiple crop insurance in Indonesia based on revenue risk using the copula model approach
• Circular analyses of dates on patients with gastric carcinoma
• Hierarchical marketing mix models with sign constraints
• Understanding students' evaluations of professors using non-negative matrix factorization

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