Results 11 to 20 of about 828,317 (269)
THE LIKELIHOOD EQUATION, CONSISTENCY AND THE MAXIMA OF THE LIKELIHOOD FUNCTION [PDF]
The articles published by the Annals of Eugenics (1925–1954) have been made available online as an historical archive intended for scholarly use. The work of eugenicists was often pervaded by prejudice against racial, ethnic and disabled groups. The online publication of this material for scholarly research purposes is not an endorsement of those views
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Likelihood Methods for CMB Experiments
A great deal of experimental effort is currently being devoted to the precise measurements of the cosmic microwave background (CMB) sky in temperature and polarization.
Martina Gerbino +15 more
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Asymptotic Likelihood-Based Prediction Functions
This paper develops asymptotic prediction functions that approximate the shape of the density of future observations and correct for parameter uncertainty. The functions are based on extensions to a definition of predictive likelihood originally suggested by S. L. Lauritzen (1974) and D. Hinkley (1979).
Cooley, Thomas F, Parke, William R
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SPATIAL CLUSTERING USING THE LIKELIHOOD FUNCTION
Clustering has been widely used as a tool to group multivariate observations that have similar characteristics. However, there have been few attempts at formulating a method to group similar multivariate observations while taking into account their spatial location.
Kerby, April +3 more
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Jackknife Empirical Likelihood Inference for the Variance Residual Life Function
In life testing situations, the residual life time of a component which has survived t units of time is Xt = X −t|X > t. In this paper, we give a central limit theorem result for the estimator of Var(Xt), the variance residual life(VRL) function.
Vali Zardasht
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Algebraic likelihood maximization avoiding the log-likelihood function and differentiation
The fact that the graph of the exponential function exp is always at or above the straight line through the origin with slope exp(1) is well-known and can be easily proved using differential calculus. We provide a simple algebraic proof of that fact and
S. Majumdar
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Bayesian Estimation in Some Power Series Distributions [PDF]
In this paper, we study the Bayesian estimation of functions of parameters of some power series distributions. These estimators are better than the classical minimum variance unbiased estimators (MVUE) as given by Patil and Joshi (1970), in the sense ...
Anwar Hassan +2 more
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Likelihood Function through the Delta Approximation in Mixed SDE Models
Stochastic differential equations (SDE) appropriately describe a variety of phenomena occurring in random environments, such as the growth dynamics of individual animals.
Nelson T. Jamba +3 more
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The connection between quasi-likelihood functions, exponential family models and nonlinear weighted least squares is examined. Consistency and asymptotic normality of the parameter estimates are discussed under second moment assumptions. The parameter estimates are shown to satisfy a property of asymptotic optimality similar in spirit to, but more ...
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Copula cosmology: Constructing a likelihood function [PDF]
To estimate cosmological parameters from a given dataset, we need to construct a likelihood function, which sometimes has a complicated functional form. We introduce the copula, a mathematical tool to construct an arbitrary multivariate distribution function from one-dimensional marginal distribution functions with any given dependence structure. It is
Sato, Masanori +2 more
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