Stream Order and Order Statistics: Quantile Estimation in Random-Order Streams
نویسندگان
چکیده
منابع مشابه
Stream Order and Order Statistics: Quantile Estimation in Random-Order Streams
When trying to process a data stream in small space, how important is the order in which the data arrive? Are there problems that are unsolvable when the ordering is worst case, but that can be solved (with high probability) when the order is chosen uniformly at random? If we consider the stream as if ordered by an adversary, what happens if we restrict the power of the adversary? We study thes...
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When processing a data-stream in small space, how important is the order in which the data arrives? Are there problems that are unsolvable when the ordering is worst-case, that can typically be solved in practice? Does the role of ordering become less significant when we permit algorithms to make multiple passes over the data-stream if the stream is not re-ordered between each pass? If we consi...
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We revisit one of the classic problems in the data stream literature, namely, that of estimating the frequency moments Fp for 0 < p < 2 of an underlying n-dimensional vector presented as a sequence of additive updates in a stream. It is well-known that using p-stable distributions one can approximate any of these moments up to a multiplicative (1 + )-factor using O( −2 log n) bits of space, and...
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In this article, a new censoring scheme is considered, namely, a middle part of a random sample is censored. A treatment for reconstructing the missing order statistics is investigated. The proposed procedure is studied in detail under exponential distribution which is widely used as a constant failure model in reliability. Different approaches are used to obtain point and interval reconstructo...
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ژورنال
عنوان ژورنال: SIAM Journal on Computing
سال: 2009
ISSN: 0097-5397,1095-7111
DOI: 10.1137/07069328x