Results 1  10
of
49
A Monte Carlo Approach for Power Estimation
, 1993
"... Excessive power dissipation in integrated circuits causes overheating and can lead to soft errors and/or permanent damage. The severity of the problem increases in proportion to the level of integration, so that power estimation tools are badly needed for presentday technology. Traditional simulati ..."
Abstract

Cited by 101 (9 self)
 Add to MetaCart
Excessive power dissipation in integrated circuits causes overheating and can lead to soft errors and/or permanent damage. The severity of the problem increases in proportion to the level of integration, so that power estimation tools are badly needed for presentday technology. Traditional simulationbased approaches simulate the circuit using test/functional input pattern sets. This is expensive and does not guarantee a meaningful power value. Other recent approaches have used probabilistic techniques in order to cover a large set of input patterns. However, they tradeoff accuracy for speed in ways that are not always acceptable. In this paper, we investigate an alternative technique that combines the accuracy of simulationbased techniques with the speed of the probabilistic techniques. The resulting method is statistical in nature; it consists of applying randomlygenerated input patterns to the circuit and monitoring, with a simulator, the resulting power value. This is continued...
Predictive Model Selection
 Journal of the Royal Statistical Society, Ser. B
, 1995
"... this article we propose three criteria that can be used to address model selection. These emphasize observables rather than parameters and are based on a certain Bayesian predictive density. They have a unifying basis that is simple and interpretable,are free of asymptotic de#nitions,and allow the i ..."
Abstract

Cited by 61 (4 self)
 Add to MetaCart
this article we propose three criteria that can be used to address model selection. These emphasize observables rather than parameters and are based on a certain Bayesian predictive density. They have a unifying basis that is simple and interpretable,are free of asymptotic de#nitions,and allow the incorporation of prior information. Moreover,two of these criteria are readily calibrated.
A Comparison of Approximate Interval Estimators for the Bernoulli Parameter
 The American Statistician
, 1996
"... We compare the accuracy of two approximate confidence interval estimators for the Bernoulli parameter p. The approximate confidence intervals are based on the normal and Poisson approximations to the binomial distribution. Charts are given to indicate which approximation is appropriate for certain s ..."
Abstract

Cited by 16 (3 self)
 Add to MetaCart
We compare the accuracy of two approximate confidence interval estimators for the Bernoulli parameter p. The approximate confidence intervals are based on the normal and Poisson approximations to the binomial distribution. Charts are given to indicate which approximation is appropriate for certain sample sizes and point estimators.
An operational technique for relating the movement of existing tropical cyclones to past tracks
 Monthly Weather Review
, 1970
"... The HURRAN (hurricane analog) technique for selecting analogs for an existing tropical storm or hurricane is described. This fully computerized program examines tracks of all Atlantic tropical storms or hurricanes since 1886, and those that have designated characteristics similar to an existing stor ..."
Abstract

Cited by 8 (2 self)
 Add to MetaCart
The HURRAN (hurricane analog) technique for selecting analogs for an existing tropical storm or hurricane is described. This fully computerized program examines tracks of all Atlantic tropical storms or hurricanes since 1886, and those that have designated characteristics similar to an existing storm are selected and identified. Positions of storms selected as analogs are determined at 12, 24, 36, 48, and 72 hr after the initial time. Probability ellipses are computed from the resulting arrays and plotted on an 2, y (CALCOMP) offline plotter. The program also has the option of computing the probability that the storm center will be located within a fixed distance of a given point at a specific time. Operational use of HURRAN during the 1969 hurricane season, including both its utility and limitations, is described. 1.
Predictive Specification of Prior Model Probabilities in Variable Selection
, 1996
"... this article we propose a new method to solve #i#. We do this by focusing on observables, requiring only a few easily interpretable prior parameters to be speci#ed. These same parameter speci#cations can also be used to solve #ii# as proposed in L&I. ..."
Abstract

Cited by 7 (0 self)
 Add to MetaCart
this article we propose a new method to solve #i#. We do this by focusing on observables, requiring only a few easily interpretable prior parameters to be speci#ed. These same parameter speci#cations can also be used to solve #ii# as proposed in L&I.
Democracy and Economic Growth: A MetaAnalysis
 American Journal of Political Science
, 2008
"... Acknowledgments: Greg Tangey provided excellent research assistance with the construction of the Despite a sizeable theoretical and empirical literature, no firm conclusions have been drawn regarding the impact of political democracy on economic growth. This paper challenges the consensus of an inco ..."
Abstract

Cited by 5 (0 self)
 Add to MetaCart
Acknowledgments: Greg Tangey provided excellent research assistance with the construction of the Despite a sizeable theoretical and empirical literature, no firm conclusions have been drawn regarding the impact of political democracy on economic growth. This paper challenges the consensus of an inconclusive relationship with a metaanalytic review and a quantitative assessment of the democracygrowth literature. We apply metaregression analysis to the population of 470 estimates derived from 81 papers on the democracygrowth association. In addition to traditional metaanalysis estimators, we use also the bootstrap and clustered data analysis, as well as Fixed and Random Effects metaregression models. Our metaanalysis derives several robust conclusions on the relationship. First, once all the available evidence is considered, there is, on average, no evidence of democracy being detrimental to growth. Taking all the available published evidence together, we conclude that democracy has no direct effect on economic growth. On the other hand, it has robust and significant indirect effects on growth. The results are consistent with democracies being associated with higher human capital accumulation, lower inflation, lower political instability and higher economic freedom.
SimulationBased Estimation Of Proportions
 Manag. Sci
, 1994
"... this paper we propose a method for controlling the precision when several proportions are simultaneously estimated. In queueing network analysis, which is our primary application area of simulation, the need for several Manuscript of paper to appear in Management Science Kimmo E. E. Raatikainen: Si ..."
Abstract

Cited by 4 (2 self)
 Add to MetaCart
this paper we propose a method for controlling the precision when several proportions are simultaneously estimated. In queueing network analysis, which is our primary application area of simulation, the need for several Manuscript of paper to appear in Management Science Kimmo E. E. Raatikainen: SimulationBased Estimation of Proportions 2 simultaneous proportions arises, for example, when the distribution of queue length is estimated or when the distribution of the system response times is approximated through a histogram. When simulation is used to estimate several proportions, the following two problems arise: 1) How do we specify the precision requirement for individual proportions? 2) How do we conclude that the individual requirements are simultaneously satisfied? The second problem can be solved by applying the Bonferroni inequality; see e.g. Kleijnen (1987, pp. 4143). The first problem is discussed below. When the mean of a response variable is estimated, the precision requirement is usually specified using the socalled relative halfwidth criterion. For simplicity in the following discussion, we assume that the unknown mean ` and its estimate
Statistical Considerations in Designing Tests of Mine Detection Systems: I  Measures Related to the Probability of Detection
 Sandia National Laboratories
, 1998
"... One of the primary metrics used to gauge the performance of mine detection systems is PD, the probability of detecting an actual mine that is encountered by the sensor. In this report, statistical issues and techniques that are relevant to the estimation of PD are discussed. Appropriate methods a ..."
Abstract

Cited by 3 (0 self)
 Add to MetaCart
One of the primary metrics used to gauge the performance of mine detection systems is PD, the probability of detecting an actual mine that is encountered by the sensor. In this report, statistical issues and techniques that are relevant to the estimation of PD are discussed. Appropriate methods are presented for summarizing the performance of a single detection system, for comparing different systems, and for determining the sample size (number of target mines) required for a desired degree of precision. References are provided to pertinent sources within the extensive literature on statistical estimation and experimental design. A companion report addresses the estimation of detection system false alarm rates. 4 This work performed under sponsorship of the DoD/DOE Memorandum of Understanding on NonNuclear Munitions Technology 5 CONTENTS 1  Introduction.........................................................................................................................