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A General Framework for the Statistical Analysis of Sequential Dyadic Interaction Data
SSRN Electronic Journal, 1988Recent interest in sequential dyadic interactions has motivated researchers to develop methods appropriate for the analysis of such data. After briefly reviewing a series of methodological papers focusing on the analysis of discrete-valued observations, we present a general framework for studying many substantive effects, including dominance and ...
D, Iacobucci, S, Wasserman
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Sequential Pattern Analysis: A Statistical Investigation of Sequence Length and Support
Communications in Statistics - Simulation and Computation, 2013In sequential pattern analysis, the frequency of patterns is evaluated by the support. While computed efficiently from large databases, we show that the support cannot be compared between different databases, since it is influenced by the actual sequence length distribution. Models for this sequence length distribution are surveyed. One of these models,
Christian H. Weiß, Miia Peltola
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Defect level estimation of circuit testing using sequential statistical analysis
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 1993Sequential statistical analysis is applied to determine the defect level of random and pseudorandom testing. Results derived using worst-case analysis show that the defect of pseudorandom testing is always no larger than the defect of random testing.
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On Markov Sufficient Statistics in Non-Additive Bayes Problems of Sequential Analysis
Theory of Probability & Its Applications, 1964The question of finding Markov sufficient statistics (see definition 3) in the problem of minimisation of the functional (2) is considered. It is supposed that the parameter $\theta $ is the random moment at which the density $f_0 $ changes to $f_1 $ (§ 1–3) or to one of the $f_1 , \cdots ,f_m $ (§ 5). In the case when the densities $f_0 ,f_1 , \cdots ,
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Lag sequential analysis: Robust statistical methods.
Psychological Bulletin, 1987Stephen V. Faraone, Donald D. Dorfman
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Sequential analysis for quantifying statistical uncertainty in fire testing
Proceedings of the 12th Asia-Oceania Symposium on Fire Science and Technology (AOSFST 2021), 2021David Morrisset +4 more
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Analysis of a Sufficient Statistic in a Sequential Detection Problem
In the problem of detecting the moment at which a Brownian motion, observed in real time, changes its drift, the optimal estimator of this moment is the stopping time given by the first instant at which a certain functional of the Brownian motion without drift exceeds a precomputed threshold. Then, as the decision on when to stop the observation of theopenaire +2 more sources
Investigations by statistical sequential analysis
Mathematical Notes of the Academy of Sciences of the USSR, 1968openaire +2 more sources
The sequential statistical analysis of hypothesis testing
European Journal of Operational Research, 1990openaire +1 more source