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The impact of stress on body function: A review
EXCLI Journal : Experimental and Clinical Sciences, 2017Any intrinsic or extrinsic stimulus that evokes a biological response is known as stress. The compensatory responses to these stresses are known as stress responses. Based on the type, timing and severity of the applied stimulus, stress can exert various
Habib Yaribeygi +4 more
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Entropies of Likelihood Functions
1992We show that the normalized likelihood function needed to get from a prior probability vector to the posterior that results from the minimum cross-entropy inference process has the highest entropy among all probability vectors satisfying an appropriate set of linear constraints. We regard the domains of the entropy and cross-entropy functions as groups.
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On the Empirical Likelihood Ratio for Smooth Functions of M‐functionals
Scandinavian Journal of Statistics, 1997It is known that the empirical likelihood ratio can be used to construct confidence regions for smooth functions of the mean, Fréchet differentiable statistical functionals and for a class of M‐functionals. In this paper, we argue that this use can be extended to the class of functionals which are smooth functions of M‐functionals.
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Factoring the likelihood function
1996Abstract The likelihood function provides an overall assessment of the relative merits of different members of a given family of statistical models, although this must be balanced against their relative complexity. However, as we saw in Section 3.6.3, we often require measures of precision of the estimates of individual parameters in the
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A deviance function for the quasi-likelihood method
Biometrika, 1993Summary: We introduce a deviance function that can be used in conjunction with the quasi-likelihood method. The need for such functions arises when the quasi-log likelihood function is not uniquely defined. The deviance is obtained by projecting a pair of centered likelihood ratios onto the direct sum of two Hilbert spaces spanned by the observations ...
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Estimating Functions and Approximate Conditional Likelihood
Biometrika, 1987The approximate conditional likelihood method proposed by \textit{D. R. Cox} and \textit{N. Reid}, J. R. Stat. Soc., Ser. B 49, 1-39 (1987; Zbl 0616.62006) is applied to the estimation of a scalar parameter \(\theta\), in the presence of nuisance parameters.
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Constrained likelihood function for a uniform array
IEEE Transactions on Signal Processing, 1994The symmetry of a uniform linear array can be exploited to construct a simplified analytical representation for the maximum likelihood function. This results in a significant decrease in the computational load and allows the algorithm to be used with large arrays. >
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The two source maximum likelihood function
IEEE Signal Processing Letters, 1994The maximum likelihood method is designed to yield high resolution estimates in a multiple source environment. The article derive a simplified representation of the maximum likelihood function for the two source case. This case is instructive to understand when and why the full power of the maximum likelihood method should be used.
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An approximation to the modified profile likelihood function
Biometrika, 1998zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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STATISTICAL INFERENCE WITH SIMULATED LIKELIHOOD FUNCTIONS
Econometric Theory, 1999Summary: This paper considers classical test statistics, namely, the likelihood ratio, efficient score, and Wald statistics, for econometric models under simulation estimation. The simulated likelihood ratio, simulated efficient score, and simulated Wald test statistics are shown to be asymptotically equivalent.
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