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Rao and Wald Tests for Nonhomogeneous Scenarios [PDF]
Sensors, 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
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Influence analysis of robust Wald-type tests [PDF]
Journal of Multivariate Analysis, 2016 36 ...
Abhik Ghosh +3 more
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Anchor Selection Using the Wald Test Anchor-All-Test-All Procedure. [PDF]
Appl Psychol Meas, 2017 Methods for testing differential item functioning (DIF) require that the reference and focal groups are linked on a common scale using group-invariant anchor items. Several anchor-selection strategies have been introduced in an item response theory framework. However, popular strategies often utilize likelihood ratio testing with all-others-as-anchors
Wang M, Woods CM.
europepmc +4 more sources
Analysis on Indonesia's beef import
Economic Journal of Emerging Markets, 2016 This research aims to analyze the effect of imported beef price, per capita income (GDP), and domestic beef price toward the volume of Indonesia's beef import within the period of 1998-2014 by using Error Correction Model (ECM) analysis method.
Ari Rudatin
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How to use χ2 test correctly——the Wald΄s test and the implementation of SAS software
Sichuan 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
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Mathematics, 2023 This study is intended as a note and provides an extension to a much-used and established test for portfolio efficiency, the Gibbons, Ross, and Shanken GRS-Wald test.
Pankaj Agrrawal
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A Tutorial on Testing the Equality of Standardized Regression Coefficients in Structural Equation Models using Wald Tests with lavaan [PDF]
Tutorials in Quantitative Methods for Psychology, 2020 Comparing the effects of two or more explanatory variables on a dependent variable in structural equation models, with either manifest or latent variables, may be hampered by the arbitrary metrics which are common in social sciences and psychology.
Klopp, Eric
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INVERSE GAUSSIAN REGRESSION MODELING AND ITS APPLICATION IN NEONATAL MORTALITY CASES IN INDONESIA
Barekeng, 2022 Inverse Gaussian Regression (IGR) is a suitable model for modeling positively skewed response data, which follows the inverse Gaussian distribution. The IGR model was formed from the Generalized Linear Models (GLM).
M. Fathurahman
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Entropy, 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
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Wald Test Formulations in DIF Detection of CDM Data with the Proportional Reasoning Test
International Journal of Assessment Tools in Education, 2020 This study aims to conduct differential item functioning analyses in the context of cognitive diagnosis assessments using various formulations of the Wald test. In implementing the Wald test, two scenarios are considered: one where the underlying reduced
Ragıp Terzi +2 more
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