Maximum Likelihood Estimation: Logic and Practice by Scott R. Eliason

Maximum Likelihood Estimation: Logic and Practice



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Maximum Likelihood Estimation: Logic and Practice Scott R. Eliason ebook
Publisher: Sage Publications, Inc
Page: 96
Format: chm
ISBN: 0803941072, 9780803941076


A LOGIC OF INFERENCE IN SAMPLE SURVEY PRACTICE. Maximum Likelihood Estimation Logic and Practice. Method to fit the data, as well as maximum-likelihood estimates, which finds the values .. Extreme- conditions tests (checking that model predictions are logical even under unusually extreme inputs) or face validation (showing results to experts) and can be very useful to detect anomalies in the models [62] (“model verification”, Table 3). Several real-time pandemic modelling articles involved sophisticated methods of parameterization employing on-going observed case data, such as maximum likelihood estimation [9] or sequential particle filtering within a Bayesian . Maximum Likelihood Estimation: Logic and Practice Quantitative Applications in the Social Sciences: Amazon.co.uk: Scott R. , 271 methods are to be applied, it is a logical step to obtain L.I.S.E. (EM) algorithm leading to maximum-likelihood estimates of molecular haplotype logical information in families (Perlin et al. Sample Computations for Maximum-Likelihood Estimation. Practice two sum columns are always used, which are identical if no error.