Code: 06793778
INTRODUCTION 1) Introduction In 1979, Efron introduced the bootstrap method as a kind of universal tool to obtain approximation of the distribution of statistics. The now well known underlying idea is the following : consider a sa ... more
English
103.05 €
RRP: 111.69 €
You save 8.63 €

You get 249 loyalty points
Book synopsis
INTRODUCTION 1) Introduction In 1979, Efron introduced the bootstrap method as a kind of universal tool to obtain approximation of the distribution of statistics. The now well known underlying idea is the following : consider a sample X of Xl ' n independent and identically distributed H.i.d.) random variables (r. v,'s) with unknown probability measure (p.m.) P . Assume we are interested in approximating the distribution of a statistical functional T(P ) the -1 nn empirical counterpart of the functional T(P) , where P n := n l:i=l aX. is 1 the empirical p.m. Since in some sense P is close to P when n is large, n LLd. from P and builds the empirical p.m. if one samples Xl ' ... , Xm n n -1 mn P T(P ) conditionally on := mn l: i =1 a ' then the behaviour of P m n,m n n n X. 1 T(P ) should imitate that of when n and mn get large. n This idea has lead to considerable investigations to see when it is correct, and when it is not. When it is not, one looks if there is any way to adapt it.
Book details
Book category Books in English Mathematics & science Mathematics Probability & statistics
103.05 €
English
Collection points Bratislava a 12863 dalších
Copyright ©2008-26 najlacnejsie-knihy.sk All rights reservedPrivacyCookies
25730 collection points
Delivery 2.99 €
02/210 210 99 (8-15.30h)Shopping cart ( Empty )