Results 1 to 10 of about 246,485 (302)

Rao and Wald Tests for Nonhomogeneous Scenarios [PDF]

open access: yesSensors, 2012
In this paper, we focus on the design of adaptive receivers for nonhomogeneous scenarios. More precisely, at the design stage we assume a mismatch between the covariance matrix of the noise in the cell under test and that of secondary data.
Chengpeng Hao   +2 more
doaj   +6 more sources

Efficient Wald Tests for Fractional Unit Roots [PDF]

open access: yesEconometrica, 2007
In this article we introduce efficient Wald tests for testing the null hypothesis of unit root against the alternative of fractional unit root. In a local alternative framework, the proposed tests are locally asymptotically equivalent to the optimal Robinson (1991, 1994a) Lagrange Multiplier tests.
Velasco Gómez, Carlos   +1 more
core   +19 more sources

Influence analysis of robust Wald-type tests [PDF]

open access: yesJournal of Multivariate Analysis, 2016
36 ...
Abhik Ghosh   +3 more
openaire   +6 more sources

Rao and Wald Tests for Adaptive Detection in Partially Homogeneous Environment with a Diversely Polarized Antenna [PDF]

open access: yesThe Scientific World Journal, 2013
This study considers Rao test and Wald test for adaptive detection based on a diversely polarized antenna (DPA) in partially homogeneous environment. The theoretical expressions for the probability of false alarm and detection are derived, and constant ...
Chaozhu Zhang, Jing Zhang, Chengyuan Liu
doaj   +2 more sources

Exposure‐Response Analysis for Time‐to‐Event Data in the Presence of Adaptive Dosing: Efficient Approaches and Pitfalls [PDF]

open access: yesCPT: Pharmacometrics & Systems Pharmacology
Analyzing exposure‐response (E‐R) relationships for time‐to‐event (TTE) endpoints presents challenges due to the inherent time‐dependent nature of the data.
Alexandra Lavalley‐Morelle   +4 more
doaj   +2 more sources

Evaluation of Statistical Methods for Clustered Eye Data with Skewed Distribution [PDF]

open access: yesOphthalmology Science
Purpose: To evaluate the performance of various analysis approaches for skewed correlated eye data from 2 eyes of a subject in the same comparison group, which is common in ophthalmology and vision research.
Sifan Zhang   +3 more
doaj   +2 more sources

How to use χ2 test correctly——the Wald΄s test and the implementation of SAS software

open access: yesSichuan jingshen weisheng, 2021
The purpose of this article was to introduce the Wald΄s test and the SAS implementation. The specific contents involved the following nine aspects, namely the general Wald΄s test,the robust Wald΄s test,the constrained Wald΄s χ2 test,the generalized Wald ...
Hu Chunyan, Hu Liangping
doaj   +1 more source

Statistical Inference for Odds Ratio of Two Proportions in Bilateral Correlated Data

open access: yesAxioms, 2022
Bilateral correlated data frequently arise in medical clinical studies such as otolaryngology and ophthalmology. Based on an equal correlation coefficient model, this paper mainly aimed to investigate the statistical inference for the odds ratio of two ...
Zhiming Li, Changxing Ma
doaj   +1 more source

Performance of model-based vs. permutation tests in the HEALing (Helping to End Addiction Long-termSM) Communities Study, a covariate-constrained cluster randomized trial

open access: yesTrials, 2022
Background The HEALing (Helping to End Addiction Long-termSM) Communities Study (HCS) is a multi-site parallel group cluster randomized wait-list comparison trial designed to evaluate the effect of the Communities That Heal (CTH) intervention compared to
Xiaoyu Tang   +6 more
doaj   +1 more source

Robust Statistical Inference in Generalized Linear Models Based on Minimum Renyi’s Pseudodistance Estimators

open access: yesEntropy, 2022
Minimum Renyi’s pseudodistance estimators (MRPEs) enjoy good robustness properties without a significant loss of efficiency in general statistical models, and, in particular, for linear regression models (LRMs). In this line, Castilla et al.
María Jaenada, Leandro Pardo
doaj   +1 more source

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