Cram\'{e}r type large deviations for trimmed L-statistics
In this paper, we propose a new approach to the investigation of asymptotic properties of trimmed $L$-statistics and we apply it to the Cram\'{e}r type large deviation problem.
Gribkova, Nadezhda
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Bootstrapping unit root AR(1) models. [PDF]
We propose abootstrap resampling scheme for the least squares estimator of the parameter of an unstable first-order autoregressive model and we prove its asymptotic validity. This method is alternative to the invalid one studied by Basawa et al.
Ferretti, Nélida, Romo, Juan
core
Mildly Explosive Autoregression with Strong Mixing Errors. [PDF]
Liu X, Li X, Gao M, Yang W.
europepmc +1 more source
Pearson's goodness-of-fit tests for sparse distributions. [PDF]
Chang S, Li D, Qi Y.
europepmc +1 more source
Two new nonparametric kernel distribution estimators based on a transformation of the data. [PDF]
Slaoui Y.
europepmc +1 more source
Statistical inferences for single-index models with measurement errors. [PDF]
Huang Z, Lou W.
europepmc +1 more source
Statistical inference for a relaxation index of stochastic dominance under density ratio model. [PDF]
Zhuang W, Li Y, Qiu G.
europepmc +1 more source
Taylor quasi-likelihood for limited generalized linear models. [PDF]
Guo G.
europepmc +1 more source
Logarithmic confidence estimation of a ratio of binomial proportions for dependent populations. [PDF]
Kokaew A +3 more
europepmc +1 more source
Information Geometry of the Exponential Family of Distributions with Progressive Type-II Censoring. [PDF]
Zhang F, Shi X, Ng HKT.
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