Results 21 to 30 of about 813,474 (259)
Space-Time Modeling of Rainfall Rate for Satellite Networks
A new comprehensive space-time model for the characterization of point rainfall rate is presented. A detailed assessment of four key rain characteristics (probability of rain/no rain condition, first and second order lognormal statistics and, space and ...
Guangguang Yang +4 more
doaj +1 more source
Smooth tail index estimation [PDF]
Both parametric distribution functions appearing in extreme value theory - the generalized extreme value distribution and the generalized Pareto distribution - have log-concave densities if the extreme value index gamma is in [-1,0].
Balabdaoui F. +10 more
core +3 more sources
Asymptotic goodness-of-fit tests for point processes based on scaled empirical K-functions [PDF]
We study sequences of scaled edge-corrected empirical (generalized) K-functions (modifying Ripley's K-function) each of them constructed from a single observation of a d-dimensional fourth-order stationary point process in a sampling window which grows ...
Lothar Heinrich
semanticscholar +1 more source
Bayesian model selection for exponential random graph models via adjusted pseudolikelihoods [PDF]
Models with intractable likelihood functions arise in areas including network analysis and spatial statistics, especially those involving Gibbs random fields.
Bouranis, Lampros +2 more
core +4 more sources
Performance Evaluation of UWB Massive MIMO Channels With Favorable Propagation Features
Radio wave propagation can be characterized by two major sets: empirical and deterministic models. Empirical models rely on the received signals' statistics and thus offer lower precision.
Abdallah Fathy +2 more
doaj +1 more source
A subsampled double bootstrap for massive data [PDF]
The bootstrap is a popular and powerful method for assessing precision of estimators and inferential methods. However, for massive datasets which are increasingly prevalent, the bootstrap becomes prohibitively costly in computation and its feasibility is
Sengupta, Srijan +2 more
core +3 more sources
Local power of the LR, Wald, score and gradient tests in dispersion models
We derive asymptotic expansions up to order $n^{-1/2}$ for the nonnull distribution functions of the likelihood ratio, Wald, score and gradient test statistics in the class of dispersion models, under a sequence of Pitman alternatives.
Ferrari, Silvia L. P., Lemonte, Artur J.
core +1 more source
Delta method in large deviations and moderate deviations for estimators [PDF]
The delta method is a popular and elementary tool for deriving limiting distributions of transformed statistics, while applications of asymptotic distributions do not allow one to obtain desirable accuracy of approximation for tail probabilities.
Gao, Fuqing, Zhao, Xingqiu
core +2 more sources
This investigation aimed to explore novel theoretical aspects and applications of the information-generating function measure for order statistics.
Mohamed Said Mohamed +3 more
doaj +1 more source
Size and power properties of some tests in the Birnbaum-Saunders regression model
The Birnbaum-Saunders distribution has been used quite effectively to model times to failure for materials subject to fatigue and for modeling lifetime data.
Artur J. Lemonte +37 more
core +1 more source

