Probability and statistical inference : from basic principles to advanced models / Miltiadis C. Mavrakakis, and Jeremy Penzer

By:

Mavrakakis, Miltiadis C [Author]

Contributor(s):

Penzer, Jeremy [Author]

Material type: Text

TextLanguage: English Series: Texts in statistical sciencePublication details: Boca Raton : CRC Press, 2021.Description: xix, 423 pages ; 24 cm. PBISBN:

9780367749125

Subject(s):

DDC classification:

519.2 MAV

Contents:

1. Introduction2. Probability3. Random Variables and Univariate Distributions4. Multivariate Distributions5. Conditional Distributions6. Statistical Models7. Sample Moments and Quantiles8. Estimation, Testing, and Prediction9. Likelihood-based Inference10. Inferential Theory11. Bayesian Inference12. Simulation Methods

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Collection	Call number	Status	Barcode
Book	Ranganathan Library	Mathematics and Statistics	519.2 MAV (Browse shelf(Opens below))	Available	050102

Browsing Ranganathan Library shelves, Collection: Mathematics and Statistics Close shelf browser (Hides shelf browser)

Previous								Next
Previous	516.9 RAT Foundaations of hyperbolic manifolds/	518 DEC Calculus and differential equations with matlab/	518 PRA Introduction to numerical analysis /	519.2 MAV Probability and statistical inference : from basic principles to advanced models /	519.23 AMA Information Geometry and Its Applications /	519.23 AY Information geometry /	519.23 JON Stochastic processes : An introduction /	Next