Statistical Inference: An Integrated Approach
By Daniel R. Jeske. 2003
132 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/707c58fe76b7537fe5e06468883f6268e0ba886c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- D. Granzotto
- Glaura da Conceição Franco
- T. R. Santos
- Narayanaswamy Balakrishnan
- Dani Gamerman
- F. Louzada
- Amir Aghakouchak
- Christian Meyer
In Statistics and Probability
- D. Granzotto
- Glaura da Conceição Franco
- T. R. Santos
- Narayanaswamy Balakrishnan
- Dani Gamerman
- F. Louzada
- Debasis Kundu
- Gauss Moutinho Cordeiro
Citations in the corpus
- An Integrated Bayesian Model for DIF Analysis (2009, unknown): “In this paper it is assumed p∗ = 0.5, but more elaborated criteria may be used to choose the value of p∗, for example, based on other loss functions (see Migon & Gamerman (1999)).”
- A NON‐GAUSSIAN FAMILY OF STATE‐SPACE MODELS WITH EXACT MARGINAL LIKELIHOOD (2013, background): “The observed information matrix is asymptotically equivalent to the expected information matrix (Migon and Gamerman, 1999).”
- Cubic rank transmuted distributions: inferential issues and applications (2017, methodology): “In order to compute the asymptotic confidence intervals, we use the usual large-sample approximation for the distribution of the maximum likelihood estimator of θ which is four-variate normal [12].”