Results 271 to 280 of about 11,879,570 (313)

SEQUENTIAL PARTITION DETECTORS WITH DEPENDENT SAMPLING

Journal of Cybernetics, 1980
In this paper, the theory of sequential partition detectors with dependent sampling is introduced. A new formulation is given which predicts the thresholds under q-dependent sampling in order to maintain the same error probabilities as in the independent sampling case.
Roger F. Dwyer, Ludwik Kurz
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On Bayesian group sequential sampling procedures

Annals of Operations Research, 1991
In group sequential sampling the experimenter is allowed at each sampling stage to choose any number of new observations up to a maximum of \(m\) (positive fixed integer). The total number of observations in the experiment may or may not be required to be bounded. In the paper under review the observations \(X_ 1,X_ 2,\dots\) are i.i.d.
Rieder, U., Wentges, Paul
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A sequential discovery sampling procedure

Journal of the Operational Research Society, 2002
Summary: A sequential discovery sampling procedure is to randomly sample and audit one record at a time until either a first record containing a major fault is discovered or a pre-determined maximum number of successive fault-free records has been sampled. If a major fault is discovered, the sampling is terminated and the account is rejected.
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A general theory of time-sequential sampling

Signal Processing, 1992
In this paper, we consider the problem of optimum sampling of spatiotemporal signals. Recently, there has been increasing interest in this topic partly due to the advent of next generation television systems, and partly due to the growing need for sophisticated real time vision modules used in a variety of motion estimation and tracking tasks.
M. Armon Rahgozar, Jan P. Allebach
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An Application of Sequential Sampling to Analytical Surveys

Biometrika, 1966
SUMMARY The nature of an analytical sample surveyis discussed in general, and a sequential sampling scheme is proposed for certain situations. It is assumed that the subgroups of the population which are to be compared form a one-way classification, and are not identifiable in advance of drawing a simple random sample from the population.
openaire   +3 more sources

Sequential reservoir sampling with a nonuniform distribution

ACM Transactions on Mathematical Software, 2006
We present a simple algorithm that allows sampling from a stream of data items without knowing the number of items in advance and without having to store all items in main memory. The sampling distribution may be general, that is, the probability of selecting a data item i may depend on the individual item. The main
Michael Kolonko, D. Wäsch
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Sequential batch sampling

Sequential Analysis, 1991
Let {Xi} be i.i.d.{Fθ}.We consider the testing problem ...
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On the Complexity of the Sequential Sampling Method

Journal of Applied and Industrial Mathematics
Summary: A system of \(m\) Boolean equations can be solved by a sequential sampling method using an \(m\)-step algorithm, where at the \(i\)-th step the values of all variables essential for the first \(i\) equations are sampled and false solutions are rejected based on the right-hand sides parts of the equations, \(i=1,\dots,m\).
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Large-sample theory of sequential estimation

Biometrika, 1949
In a previous large-sample treatment of sequential estimation (1), it was shown that in certain circumstances, when there was only one unknown parameter in the distribution of the observations, an estimation formula valid for fixed sample sizes remained valid when the sample size was determined by a sequential stopping rule. The proof was heuristic, in
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On sequential Monte Carlo sampling methods for Bayesian filtering

Statistics and computing, 2000
A. Doucet, S. Godsill, C. Andrieu
semanticscholar   +1 more source