A Course in Mathematical Statistics and Large Sample Theory

This graduate-level textbook is primarily aimed at graduate students of statistics, mathematics, science, and engineering who have had an undergraduate course in statistics, an upper division course in analysis, and some acquaintance with measure theoretic probability. It provides a rigorous present...

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Détails bibliographiques
Cote:Libro Electrónico
Auteurs principaux: Bhattacharya, Rabi (Auteur), Lin, Lizhen (Auteur), Patrangenaru, Victor (Auteur)
Collectivité auteur: SpringerLink (Online service)
Format: Électronique eBook
Langue:Inglés
Publié: New York, NY : Springer New York : Imprint: Springer, 2016.
Édition:1st ed. 2016.
Collection:Springer Texts in Statistics,
Sujets:
Statistics .
Computer science-Mathematics.
Mathematical statistics.
Probabilities.
Mathematical statistics-Data processing.
Biometry.
Statistical Theory and Methods.
Probability and Statistics in Computer Science.
Statistics in Business, Management, Economics, Finance, Insurance.
Probability Theory.
Statistics and Computing.
Biostatistics.
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