Textbooks
Maximum Likelihood Estimation and Inference: With Examples in R, SAS and ADMB (Statistics in Practice)
Maximum Likelihood Estimation and Inference: With Examples in R, SAS and ADMB (Statistics in Practice)
Russell B. Millar
1st Edition
ISBN #9780470094822
110 Questions
0 Students Work From this Textbook
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Chapters
1
A taste of likelihood
0 sections
1 questions
2
Essential concepts and iid examples
0 sections
11 questions
3
Hypothesis tests and confidence intervals or regions
0 sections
10 questions
4
What you really need to know
0 sections
9 questions
5
Maximizing the likelihood
0 sections
7 questions
6
Some widely used applications of maximum likelihood
0 sections
8 questions
7
Generalized linear models and extensions
0 sections
10 questions
8
Quasi-likelihood and generalized estimating equations
0 sections
2 questions
9
ML inference in the presence of incidental parameters
0 sections
2 questions
10
Latent variable models
0 sections
7 questions
11
Cramer-Rao inequality and Fisher information
0 sections
10 questions
12
Asymptotic theory and approximate normality
0 sections
11 questions
13
Tools of the trade
0 sections
13 questions
14
Fundamental paradigms and principles of inference
0 sections
9 questions
15
Miscellanea
0 sections
0 questions
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