*(d) Statistic
Detecting Assignable Signals Via Decomposition Of Statistic
... [6] Mason R.L. and Young, J.C. (2002) Multivariate Statistical Process Control with Industrial Applications, ASA-SIAM, Philapedia. [7] Mason R.L. Young JC. (2001) Implementing Multivariate Process Control Using ...
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A nonparametric spatial scan statistic for continuous data
... scan statistic, which has been developed for several different probability models such as Poisson, Bernoulli, ordinal, multinomial, exponential, and ...scan statistic based on the normal probability model ...
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Data-driven inference for the spatial scan statistic
... scan statistic, incorporating additional information about the size of the most likely cluster ...scan statistic is done, posing a modified inference question: what is the probability that the null ...
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New developments in the spatial scan statistic
... a statistic is commonly called Monte Carlo testing (the name alluding to the element of chance involved), and there is a large body of technical research on this method, summarised in books such as that by Lui ...
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A statistic approach of multi-factor sensitivity analysis for service-oriented software systems.
... Sensitivity analysis that replies upon human sense on graphical analysis to decide the quality of architecture designs unavoidably reduces the quality of analysis results. This thesis applies a statistic approach ...
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Underestimation of Pearson's product moment correlation statistic
... The essence of much of the statistical treatment of data is making inferences about an underlying population from a sample. For example, to explore the foraging behaviour of bumblebees we might collect a sample of 25 ...
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Traffic Flow Statistic Based on Computer Vision
... The main reason for the errors is that the car light is recognized as cars. Because of shadow of cars and the near position, two cars might be connected by the close operation. But the result is satisfied for us. We can ...
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Approximating the distribution of the R/s statistic
... moment Beta approximations of Sections II and III seem jointly adequate for practical purposes, as Tables 2 and 3 show. The other reason is that, rather than seeking finer approximations in the simple normal sample ...
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DEMONSTRATING THE INVARIANCE PROPERTY OF HOTELLING T2 STATISTIC
... Mason et al. [4, 5] as well as Runger et al. [7] have been unarguably among the famous researches outlining some well informed approaches for the decomposition of Hotelling T 2 statistic. Both researches presented ...
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Inertia in social learning from a summary statistic
... For the baseline model, the observation pool can be interpreted as the set of past actors who contribute to some aggregate measurement. To illustrate, imagine that new cohorts of youths arrive periodically and make ...
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A Localized Statistic Based Approach for Biomarker Identification of Omics Data
... localized statistic strategy to all om- ics, which is opposite to LSPAD is only oriented towards the protein tandem mass spectrometry data processed by SEQUEST [25]; 2) We propose a new strategy of select- ing ...
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Index of /finance/Probability statistic
... In much of what follows, we wish to be able to estimate a general func- tion of the unknown parameter such as τ(θ) instead of the parameter θ itself. We have already seen that if T (X) is a complete statistic, ...
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The Panzar Rosse Statistic Revisited
... Panzar-Rosse statistic in a monopolistic competitive market is still available and has a negative ...the statistic would be great- er than unity if firms with increasing-returns-to-scale technology were to ...
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Spacings around and order statistic
... Here the last distributional equality follows from (3). The above representations are extremely helpful in providing the asymptotic distribution theory for the number of order statistics around a specified extreme order ...
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On the Distribution of the Peña Rodríguez Portmanteau Statistic
... Peña and Rodríguez (2002) introduced a portmanteau test for time series which turns out to be more powerful than those proposed by Ljung and Box (1986) and Monti (1994), and approximated its distribution by means of a ...
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A New Stylometry Method Basing on the Numerals Statistic
... For all (English-language fiction) texts subjected to computer-aided statistical analysis, we have studied the frequency of occurrence of various first significant d[r] ...
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A Study on Convolution Kernels for Shallow Statistic Parsing
... Support Vector Machines SVMs, using a combination of such kernels and the flat feature kernel, classify PropBank predicate arguments with accuracy higher than the current argument classi[r] ...
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Secrecy Preserving Discovery of Subtle Statistic Contents
... Secure Hash Algorithm (SHA) provides more security and privacy data mining model. It addresses the problem of relinquishing private data. Different datasets composed of same s[r] ...
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Sondajul statistic în turism
... At the same time, it is also necessary to calculate the survey mean error, given the fact that a single sample is studied and not the entire population.. The survey mean error is conside[r] ...
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Assessing Agreement on Classification Tasks: The Kappa Statistic
... We discuss what is wrong with reliability measures as they are currently used for discourse and dialogue work in computational linguistics and cognitive science, and argue that we would [r] ...
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