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Average value
, 2005
"... Important definitions. You should know the meanings of the following terms. (All of them are important, so none of them will be boldfaced.) Term Lecture Reference ..."
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Important definitions. You should know the meanings of the following terms. (All of them are important, so none of them will be boldfaced.) Term Lecture Reference
The AverageValue Correspondence Principle
"... Abstract. In previous work [1], we have presented an attempt to derive the finitedimensional abstract quantum formalism from a set of physically comprehensible assumptions. In this paper, we continue the derivation of the quantum formalism by formulating a correspondence principle, the AverageValu ..."
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Abstract. In previous work [1], we have presented an attempt to derive the finitedimensional abstract quantum formalism from a set of physically comprehensible assumptions. In this paper, we continue the derivation of the quantum formalism by formulating a correspondence principle, the AverageValue
AVERAGE VALUES OF ARITHMETIC FUNCTIONS
"... Abstract. In this paper, we will present problems involving av erage values of arithmetic functions. The arithmetic functions we discuss are: (1)the number of representations of natural numbers as a sum of two squares and (2)as a sum of three squares, (3)the number of decompositions of natural numbe ..."
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Abstract. In this paper, we will present problems involving av erage values of arithmetic functions. The arithmetic functions we discuss are: (1)the number of representations of natural numbers as a sum of two squares and (2)as a sum of three squares, (3)the number of decompositions of natural
Nonparametric estimation of average treatment effects under exogeneity: a review
 REVIEW OF ECONOMICS AND STATISTICS
, 2004
"... Recently there has been a surge in econometric work focusing on estimating average treatment effects under various sets of assumptions. One strand of this literature has developed methods for estimating average treatment effects for a binary treatment under assumptions variously described as exogen ..."
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Cited by 597 (26 self)
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as exogeneity, unconfoundedness, or selection on observables. The implication of these assumptions is that systematic (for example, average or distributional) differences in outcomes between treated and control units with the same values for the covariates are attributable to the treatment. Recent analysis has
Mining the Network Value of Customers
 In Proceedings of the Seventh International Conference on Knowledge Discovery and Data Mining
, 2002
"... One of the major applications of data mining is in helping companies determine which potential customers to market to. If the expected pro t from a customer is greater than the cost of marketing to her, the marketing action for that customer is executed. So far, work in this area has considered only ..."
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Cited by 562 (11 self)
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only the intrinsic value of the customer (i.e, the expected pro t from sales to her). We propose to model also the customer's network value: the expected pro t from sales to other customers she may inuence to buy, the customers those may inuence, and so on recursively. Instead of viewing a market
The relationship between return and market value of common stocks
 Journal of Financial Economics
, 1981
"... This study examines the empirical relattonship between the return and the total market value of NYSE common stocks. It is found that smaller firms have had htgher risk adjusted returns, on average, than larger lirms. This ‘size effect ’ has been in existence for at least forty years and is evidence ..."
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Cited by 742 (0 self)
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This study examines the empirical relattonship between the return and the total market value of NYSE common stocks. It is found that smaller firms have had htgher risk adjusted returns, on average, than larger lirms. This ‘size effect ’ has been in existence for at least forty years and is evidence
Perception of average value in multiclass scatterplots
 Visualization and Computer Graphics, IEEE Transactions on
"... (a) Larger differences between means lead to improved performance. (b) As the number of points per class increases performance remains good (in fact it may improve). (c) Stronger cues (color) outperform weaker ones (shape). Although, participants performed well even with weak cues. (d) Combining c ..."
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Cited by 5 (2 self)
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can efficiently make comparative mean judgements, choosing the class with the highest average position in multiclass scatterplots across a wide variety of conditions and encodings. Abstract—The visual system can make highly efficient aggregate judgements about a set of objects, with speed roughly
Fast Linear Iterations for Distributed Averaging
 Systems and Control Letters
, 2003
"... We consider the problem of finding a linear iteration that yields distributed averaging consensus over a network, i.e., that asymptotically computes the average of some initial values given at the nodes. When the iteration is assumed symmetric, the problem of finding the fastest converging linear ..."
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Cited by 429 (13 self)
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We consider the problem of finding a linear iteration that yields distributed averaging consensus over a network, i.e., that asymptotically computes the average of some initial values given at the nodes. When the iteration is assumed symmetric, the problem of finding the fastest converging
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