Mathematical Statistics and Stochastic Processes

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Éditeur :

Wiley-ISTE


Paru le : 2013-02-04

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Description

Generally, books on mathematical statistics are restricted to the case of independent identically distributed random variables. In this book however, both this case AND the case of dependent variables, i.e. statistics for discrete and continuous time processes, are studied. This second case is very important for today’s practitioners.
Mathematical Statistics and Stochastic Processes is based on decision theory and asymptotic statistics and contains up-to-date information on the relevant topics of theory of probability, estimation, confidence intervals, non-parametric statistics and robustness, second-order processes in discrete and continuous time and diffusion processes, statistics for discrete and continuous time processes, statistical prediction, and complements in probability.
This book is aimed at students studying courses on probability with an emphasis on measure theory and for all practitioners who apply and use statistics and probability on a daily basis.
Pages
304 pages
Collection
n.c
Parution
2013-02-04
Marque
Wiley-ISTE
EAN papier
9781848213616
EAN PDF
9781118586129

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
304
Taille du fichier
2847 Ko
Prix
163,47 €
EAN EPUB
9781118586273

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
304
Taille du fichier
6339 Ko
Prix
163,47 €

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