[PDF] Top 20 The law of the iterated logarithm for LNQD sequences

... for LNQD sequence have been ...stationary LNQD process, Dong and Yang [4] provided the almost sure central limit theorem for an LNQD sequence, Wang and Zhang [5] provided uniform rates of convergence ... See full document

... This statistic, introduced by Hurst [] when he studied hydrology data of the Nile river and reservoir design, plays an important role in testing statistical dependence of a se- quence of random variables and has been ... See full document

... the law of iterated lo- garithm and the Chung type law of iterated logarithm for maximum likelihood estimator of generalized linear mo- del randomly censored with incomplete information ... See full document

... the law of the iterated logarithm of moving average and Xiao and Yin [] got moment conver- gence rates in the law of logarithm for moving average process under dependence, ... See full document

... Yang, “The law of the iterated logarithm and the central limit theorem with random indices for B-valued stationary linear processes,” Chinese Annals of Mathematics Series A, vol.. Wang, [r] ... See full document

... Chung’s law and Strassen’s functional law of the iterated loga- rithm appeared, the functional law of the iterated logarithm and its rates for some classes of Gaussian processes ... See full document

... Remark 2.1. Theorem 2.1 contains the upper half of the Law of the k- Iterated Logarithm. As can be seen comparing the result with e.g. Corollary 2.4 in Cai [1], this is the “classical” upper bound ... See full document

... A similar example can be constructed to show that under certain conditions the LIL holds for martingales but fails for exchangeable r.v.’s and vice versa.. Thus, conditions for the LIL t[r] ... See full document

... Combining Feller’s criterion with a non-uniform estimate result in the context of the Central Limit Theorem for partial sums of independent random variables, we obtain several results on[r] ... See full document

... strong law of large numbers and the law of the iterated logarithm, Wang et ...functional law of the iterated logarithm for the one-side linear processes as ... See full document

... Abstract. This paper considers the size of the large fluctuations of a sto- chastic differential equation with Markovian switching. We concentrate on processes which obey the Law of the Iterated ... See full document

... Corollaries to these theorems yield asymptotic nor- mality and a law of the iterated logarithm (LIL) for T(Fn). Section 2 defines the differential and motivates its stati[r] ... See full document

... Inspired by the above conclusions, we consider second moment convergence rates for the uniform empirical process in the law of iterated logarithm and the law of the logarithm. ... See full document

... The Law of the Iterated Logarithm and Related Strong Lecture Convergence Theorems for Banach Space Valued Random Variables, Notes in Mathematics No.__ 53._.9, Springer-Verlag, Berlin, 19[r] ... See full document

... Inl J Dev BioI 37 473 477 (1993) 473 Original Article The processing of macro nuclear DNA sequences during macronuclear development of the hypotrichous ciliate Sty/onychia /emnae CLAUDINE EDER, CHRIST[.] ... See full document

... Funds Law and then by their further transformations into holding companies, through which they entirely evaded the supervisory jurisdiction of the Securities ... See full document

... Staff data management subsystem includes information on all employees in the organization with the emphasis on final product of their activity (i.e., intellectual property).. The subsyst[r] ... See full document

... Suppose that f (x) = cos x. If we want to guess an antiderivative, then we are certainly not going to try a polynomial. For if we differentiate a polynomial then we get another polynomial. So that will not do the job. ... See full document

... In this paper, some inequalities for a linearly negative quadrant dependent (LNQD) sequence are obtained. As their application, the asymptotic normality of the weight function estimate for a regression function is ... See full document

... Collaborative learning can refer to any instructional method in which students work together in small groups toward a common goal 2.. As such, collaborative learning can [r] ... See full document