Results 11 to 20 of about 13,575 (293)
Asymptotic Relative Efficiency of Parametric and Nonparametric Survival Estimators
The dominance of non- and semi-parametric methods in survival analysis is not without criticism. Several studies have highlighted the decrease in efficiency compared to parametric methods. We revisit the problem of Asymptotic Relative Efficiency (ARE) of
Szilárd Nemes
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Vanishing shortcoming and asymptotic relative efficiency [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Inglot, Tadeusz +2 more
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Asymptotic Pitman's Relative Efficiency
Pitman efficiency is the oldest known efficiency. Most of the known results for computing the Pitman efficiency take the form of bounds. Based on some recent developments due to the authors and some calculus of variations, we develop tools for ...
Christopher S. Withers +1 more
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Asymptotic Relative Efficiency Comparison for some Fit Indices in Structural Equation Modeling
There are many fit statistics used in the structural equation modeling, and new ones are consistently being developed. Because of the variety of fit statistics, it is very important to be able to decide which fit statistics are appropriate to use in ...
İsmet Doğan +2 more
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Asymptotic Relative Efficiency of the Kendall and Spearman Correlation Statistics
Необходимое и достаточное условие для того, чтобы асимптотическая относительная эффективность Питмена для корреляционных статистик Кендалла и Спирмена для критерия независимости равнялась $1$, дано в терминах некоторых свойств гладкости и невырожденности модели.
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Some Properties of the Asymptotic Relative Pitman Efficiency
A general approach to Pitman efficiency as a limit of the ratio of sample sizes is presented. The results can be used especially to derive the Pitman efficiency of tests based on asymptotically $\chi^2$-distributed statistics with different degrees of freedom.
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Saddlepoint inference for rank-based k-sample tests in clustered survival trials [PDF]
Statistical inference for cluster randomized trials often involves complex derived endpoints, such as biomarker ratios or cumulative products, which significantly complicate the application of standard asymptotic theory.
Haidy A. Newer
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Pseudo-Gaussian and Rank-Based Tests for First-Order Superdiagonal Bilinear Models in Panel Data
In this paper, locally asymptotically optimal (in the H´ajek-Le Cam sense) parametric, pseudo-Gaussian and rank-based procedures are proposed for the problem of testing randomness against first-order superdiagonal bilinear panel dependence (in large n ...
Aziz Lmakri +3 more
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Testing EBUCA Class of Life Distribution Using U-Test [PDF]
In this paper, a new class of life distribution namely exponential better than used in convex average and denoted by (EBUCA), or its dual (EWUCA) is introduced. Testing exponentiality against ( EBUCA) based on U-statistics is investigated.
N. ALghufily
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MLE with datasets from populations having shared parameters
We consider maximum likelihood estimation with two or more datasets sampled from different populations with shared parameters. Although more datasets with shared parameters can increase statistical accuracy, this paper shows how to handle heterogeneity ...
Jun Shao, Xinyan Wang
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