Titlebook: Associated Sequences, Demimartingales and Nonparametric Inference; B.L.S. Prakasa Rao Book 2012 Springer Basel AG 2012

偽造

Noctambulant

Limit Theorems for Associated Random Variables, Cox and Grimmet (1984)). We have given an extensive review of several probabilistic results for associated sequences in Chapter 1 (cf. Prakasa Rao and Dewan (2001), Roussas (1999)). We now discuss some recent advances in limit theorems for associated random variables. Covariance inequalities of dif

Admonish

scrutiny

抗體

Associated Sequences, Demimartingales and Nonparametric Inference

影響

https://doi.org/10.1007/978-1-4020-6204-9ed concepts. As we will see in the next chapter, an important example of a demimartingale is the sequence of partial sums of mean zero associated random variables. We will now briey review some properties of associated random variables. We will come back to the study of these sequences again in Chap

開(kāi)頭

Condense

必死

Highest-Level Formal Solutions,roblem. They discussed tests and the corresponding null distributions for the null hypothesis of no shift in the mean. In the Bayesian approach, a prior distribution is assumed for the change point parameter .. Nagaraj (1990) derived locally optimal tests for the hypothesis of no change in mean assu