Results 281 to 290 of about 376,196 (334)
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1996
Let \( \{ ({x'_i},{y_i})\} _{i = 1}^N \) be an iid sample drawn from a known distribution F(x i,y i, s), where s is a k × 1 vector of unknown parameters. Let f y|x (y, β) denote the likelihood function of y | x, which is the density function of y | x if y |x is continuous or the probability of y | x if y | x is discrete.
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Let \( \{ ({x'_i},{y_i})\} _{i = 1}^N \) be an iid sample drawn from a known distribution F(x i,y i, s), where s is a k × 1 vector of unknown parameters. Let f y|x (y, β) denote the likelihood function of y | x, which is the density function of y | x if y |x is continuous or the probability of y | x if y | x is discrete.
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Asymptotic Distributions of Quasi-Maximum Likelihood Estimators for Spatial Autoregressive Models
, 2004Lung-fei Lee
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Asymptotic Properties of Conditional Maximum‐Likelihood Estimators
, 1970E. Andersen
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A comparison of maximum entropy and maximum likelihood estimation
1997Gegevens betreffende het ondernemerschap op Nederlandse akkerbouwbedrijven zijn in 2 benaderingsmethodes verwerkt, welke onderling op voorspellende nauwkeurigheid en op prijs-elasticiteit zijn ...
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Consistency of Maximum Likelihood and Pseudo-Likelihood Estimators for Gibbs Distributions
, 1988B. Gidas
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Generalized Maximum Likelihood Estimators
Theory of Probability & Its Applications, 1966Weiss, L., Wolfowitz, Jacob
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