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Asymptotic distribution theory for contamination models
, 2010
"... In many situations one is interested in identifying observations that come from sources of variation other than the normal background or baseline source. A simple model for such situations is a two point mixture model where one component in the mixture corresponds to the baseline model and the secon ..."
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, the test statistic can have an asymptotic distribution that is based on a stable law that is not the normal distribution. Examples and simulations are given to illustrate the approach.
Testing monotonicity of a hazard: asymptotic distribution theory
, 2010
"... Two new test statistics are introduced to test the null hypotheses that the sampling distribution has an increasing hazard rate on a specified interval [0, a]. These statistics are empirical L1type distances between the isotonic estimates, which use the monotonicity constraint, and either the empi ..."
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Cited by 3 (2 self)
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the empirical distribution function or the empirical cumulative hazard. They measure the excursions of the empirical estimates with respect to the isotonic estimates, due to local nonmonotonicity. Asymptotic normality of the test statistics, if the hazard is strictly increasing on [0, a], is established under
Asymptotic Distribution Theory for Nonparametric Entropy Measures of Serial Dependence
 Measures of Serial Dependence” Unpublished Manuscript
, 2004
"... Entropy is a classical statistical concept with appealing properties. Establishing asymptotic distribution theory for smoothed nonparametric entropy measures of dependence has so far proved challenging. In this paper, we develop an asymptotic theory for a class of kernelbased smoothed nonparametric ..."
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Cited by 41 (1 self)
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Entropy is a classical statistical concept with appealing properties. Establishing asymptotic distribution theory for smoothed nonparametric entropy measures of dependence has so far proved challenging. In this paper, we develop an asymptotic theory for a class of kernelbased smoothed
ASYMPTOTIC DISTRIBUTION THEORY FOR DEGENERATE USTATISTICS FROM STATIONARY SEQUENCES
"... This paper initiates the study of degenerate Ustatistics in the case of dependent data. Although the asymptotic distribution of nondegenerate Ustatistics has been extensively investigated under various mixing assumptions, the study of degenerate Ustatistics has until now been restricted to the ii ..."
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to the iid case. Our asymptotic distribution theory covers *mixing, <pmixing_, and strongmixing. The limiting distrib 2 ution which we arrive at is a weighted sum of (dependent) X random variables; this is intuitively analogous to the wellknown iid result. Moreover, our general treatment of degenerate
MESTIMATION FOR DISCRETE DATA: ASYMPTOTIC DISTRIBUTION THEORY AND IMPLICATIONS
"... The asymptotic distribution of an Mestimator is studied when the underlying distribution is discrete. Asymptotic normality is shown to hold quite generally within the assumed parametric family. When the specification of the model is inexact, however, it is demonstrated that an Mestimator with a no ..."
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Cited by 2 (0 self)
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The asymptotic distribution of an Mestimator is studied when the underlying distribution is discrete. Asymptotic normality is shown to hold quite generally within the assumed parametric family. When the specification of the model is inexact, however, it is demonstrated that an Mestimator with a
Critical Power for Asymptotic Connectivity in Wireless Networks
, 1998
"... : In wireless data networks each transmitter's power needs to be high enough to reach the intended receivers, while generating minimum interference on other receivers sharing the same channel. In particular, if the nodes in the network are assumed to cooperate in routing each others ' pack ..."
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Cited by 548 (19 self)
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as the number of nodes in the network goes to infinity. It is shown that if n nodes are placed in a disc of unit area in ! 2 and each node transmits at a power level so as to cover an area of ßr 2 = (log n + c(n))=n, then the resulting network is asymptotically connected with probability one if and only
Asymptotic Confidence Intervals for Indirect Effects in Structural EQUATION MODELS
 IN SOCIOLOGICAL METHODOLOGY
, 1982
"... ..."
DISTRIBUTED SYSTEMS
, 1985
"... Growth of distributed systems has attained unstoppable momentum. If we better understood how to think about, analyze, and design distributed systems, we could direct their implementation with more confidence. ..."
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Cited by 755 (1 self)
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Growth of distributed systems has attained unstoppable momentum. If we better understood how to think about, analyze, and design distributed systems, we could direct their implementation with more confidence.
Authentication in distributed systems: Theory and practice
 ACM Transactions on Computer Systems
, 1992
"... ..."
A theory of memory retrieval
 PSYCHOL. REV
, 1978
"... A theory of memory retrieval is developed and is shown to apply over a range of experimental paradigms. Access to memory traces is viewed in terms of a resonance metaphor. The probe item evokes the search set on the basis of probememory item relatedness, just as a ringing tuning fork evokes sympath ..."
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Cited by 728 (81 self)
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comparisons. The mathematical model produces predictions about accuracy, mean reaction time, error latency, and reaction time distributions that are in good accord with experimental data. The theory is applied to four item recognition paradigms (Sternberg, prememorized list, studytest, and continuous
Results 1  10
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1,837,553