Finite Form Representations for Meijer G and Fox H Functions Applied to Multivariate Likelihood Ratio Tests Using Mathematica®, MAXIMA and R /
This book depicts a wide range of situations in which there exist finite form representations for the Meijer G and the Fox H functions. Accordingly, it will be of interest to researchers and graduate students who, when implementing likelihood ratio tests in multivariate analysis, would like to know...
Κύριοι συγγραφείς: | , |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2019.
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Έκδοση: | 1st ed. 2019. |
Σειρά: | Lecture Notes in Statistics,
223 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Preface
- Setting the Scene
- The Meijer G and Fox H Functions
- Multiple Products of Independent Beta Random Variables with Finite Form Representations for Their Distributions
- Finite Form Representations for Extended Instances of Meijer G and Fox H Functions
- Application of the Finite Form Representations of Meijer G and Fox H Functions to the Distribution of Several Likelihood Ratio Test Statistics
- Mathematica, MAXIMA and R Packages to Implement the Likelihood Ratio Tests and Compute the Distributions in the Previous Chapter
- Approximate Finite Forms for the Cases not Covered by the Finite Representation Approach
- Index.