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The Identification of Outliers in Exponential Samples
"... In this paper, the task of identifying outliers in exponential samples is treated conceptionally in the sense of Davies and Gather (1989, 1993) by means of a socalled outlier region. In case of an exponential distribution, an empirical approximation of such a region  also called an outlier identi ..."
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In this paper, the task of identifying outliers in exponential samples is treated conceptionally in the sense of Davies and Gather (1989, 1993) by means of a socalled outlier region. In case of an exponential distribution, an empirical approximation of such a region  also called an outlier
Identification of Outliers in Exponential Samples With Stepwise Procedures
"... In this paper we consider the problem of identifying outliers in exponential samples with stepwise procedures, namely inward and outward testing procedures. We treat outliers in the spirit of Davies and Gather (1993) as points which for given > 0 lie in a certain outlier region and focus espec ..."
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In this paper we consider the problem of identifying outliers in exponential samples with stepwise procedures, namely inward and outward testing procedures. We treat outliers in the spirit of Davies and Gather (1993) as points which for given > 0 lie in a certain outlier region and focus
Reconstruction of Wireless UWB Pulses by Exponential Sampling
 Filter, Wireless Sensor Network
, 2010
"... Measurement and reconstruction of wireless pulses is an important scheme in wireless ultra wide band (UWB) technology. In contrary to the bandlimited analog signals, which can be recovered from evenly spaced samples, the reconstruction of the UWB pulses is a more demanding task. In this work we des ..."
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describe an exponential sampling filter (ESF) for measurement and reconstruction of UWB pulses. The ESF is constructed from parallel filters, which has exponentially descending impulse response. A pole cancellation filter was used to extract the amplitudes and time locations of the UWB pulses from
Stochastic Comparisons of Heterogeneous Samples with Homogeneous Exponential Samples
"... Abstract—In the present communication, stochastic comparison of a series (parallel) system having heterogeneous components with random lifetimes and series (parallel) system having homogeneous exponential components with random lifetimes has been studied. Further, conditions under which such a compa ..."
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Abstract—In the present communication, stochastic comparison of a series (parallel) system having heterogeneous components with random lifetimes and series (parallel) system having homogeneous exponential components with random lifetimes has been studied. Further, conditions under which such a
Selective sampling using the Query by Committee algorithm
 Machine Learning
, 1997
"... We analyze the "query by committee" algorithm, a method for filtering informative queries from a random stream of inputs. We show that if the twomember committee algorithm achieves information gain with positive lower bound, then the prediction error decreases exponentially with the numbe ..."
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Cited by 433 (7 self)
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We analyze the "query by committee" algorithm, a method for filtering informative queries from a random stream of inputs. We show that if the twomember committee algorithm achieves information gain with positive lower bound, then the prediction error decreases exponentially
© IDOSI Publications, 2012 Symmetricity of the Sampling Distribution of CVr for Exponential Samples
"... Abstract: A robust form of the coefficient of variation, CVr constructed using the sample median absolute deviation, MAD and the sample median, is considered. Histograms, boxplots and descriptive statistics of the sampling distributions of CVr are generated for samples from exponential distribution ..."
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Abstract: A robust form of the coefficient of variation, CVr constructed using the sample median absolute deviation, MAD and the sample median, is considered. Histograms, boxplots and descriptive statistics of the sampling distributions of CVr are generated for samples from exponential distribution
On the Distribution of a Test Statistic for Outlier Identification in Exponential Samples
, 2000
"... In this paper we discuss the distribution of the ratio of the maximum and the appropriately standardized median of a (sub) sample consisting of the m smallest observations in a sample of size N coming from a oneparameter exponential distribution. A statistics of this kind is useful when testing fo ..."
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In this paper we discuss the distribution of the ratio of the maximum and the appropriately standardized median of a (sub) sample consisting of the m smallest observations in a sample of size N coming from a oneparameter exponential distribution. A statistics of this kind is useful when testing
Algebraic Algorithms for Sampling from Conditional Distributions
 Annals of Statistics
, 1995
"... We construct Markov chain algorithms for sampling from discrete exponential families conditional on a sufficient statistic. Examples include generating tables with fixed row and column sums and higher dimensional analogs. The algorithms involve finding bases for associated polynomial ideals and so a ..."
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Cited by 268 (20 self)
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We construct Markov chain algorithms for sampling from discrete exponential families conditional on a sufficient statistic. Examples include generating tables with fixed row and column sums and higher dimensional analogs. The algorithms involve finding bases for associated polynomial ideals and so
RETROSPECTIVE ASSIGNMENT OF PERMANENT RANDOM NUMBERS FOR OHLSSON’S EXPONENTIAL SAMPLING OVERLAP MAXIMIZATION PROCEDURE FOR DESIGNS WITH MORE THAN ONE SAMPLE UNIT PER STRATUM
"... estimates ..."
stpower exponential — Sample size and power for the exponential test Syntax Menu Description Options Remarks and examples Stored results Methods and formulas References Also see Syntax
"... Specifying hazard rates stpower exponential [ h1 h2, options Specifying survival probabilities stpower exponential s1 s2, t(#) options Power determination Specifying hazard rates stpower exponential [ h1 h2, n(numlist) options Specifying survival probabilities stpower exponential s1 s2, t(#) n(numli ..."
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be specified either as one number or as a list of values (see [U] 11.1.8 numlist) enclosed in parentheses. 1 2 stpower exponential — Sample size and power for the exponential test options
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