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Estimating parameter values for named tephras

Estimating parameter values of a socio-hydrological flood model

Estimating parameter values of a socio-hydrological flood model

... We have conducted an artificial experiment where a Socio- Hydrological model is assumed whose “true parameters” are known to us, since we impose them, and observations are sampled from variables generated with the model. ...

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Road Parameter Values [PV2]

Road Parameter Values [PV2]

... and parameter values tested, this also limits their potential ...of estimating RUCs and their sensitivity to road conditions in both non-urban and urban settings (Lloyd ...

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Estimating recreational values of coastal zones

Estimating recreational values of coastal zones

... 3 The goal of our study is to measure the strength of people's preference and environmental attitude in terms of their WTP for coastal zone quality improvement. Specifically, it is explored if environmental attitudes are ...

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Estimating the Parameters of a Two-parameter Crack Distribution

Estimating the Parameters of a Two-parameter Crack Distribution

... It is not a simple task to find the maximum- likelihood estimate of parameters λ and θ using the directly-maximized log-likelihood function. Therefore, we suggest the EM-algorithm. The EM-algorithm is an iterative ...

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A Simplified Approach to Estimating Parameter of the GARCH (1,1) Model

A Simplified Approach to Estimating Parameter of the GARCH (1,1) Model

... of parameter estimation of the GARCH (1,1) ...the parameter estimates by maximizing the log-likelihood ...initial values of the parameters for the iterative ...the values obtain using the ...

6

A Comparison of Some Confidence Intervals for Estimating the Kurtosis Parameter

A Comparison of Some Confidence Intervals for Estimating the Kurtosis Parameter

... unbiased estimators of kurtosis. 1.2.2 Estimator G 2 First, we describe a cumulant-generating function, K(t) . In statistics, cumulants are values that provide an alternative to the moments of a probability ...

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An Effective Scheme for Estimating a Smoother Parameter in the Method of Regularization

An Effective Scheme for Estimating a Smoother Parameter in the Method of Regularization

... eight values of the smoother parameter which is the coefficient of the penalized ...the values of o from 10 to 10 w , so we considered 96,800 models and determined the parameters of those by the ...

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Benchmarking selection of parameter values for the Barcelona basic model

Benchmarking selection of parameter values for the Barcelona basic model

... selected values for the 10 BBM soil constants and the initial value of the hardening parameter, together with short descriptions of the procedures that had been employed in estimating these ...7 ...

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A New Five-Parameter Fréchet Model for Extreme Values

A New Five-Parameter Fréchet Model for Extreme Values

... 4. Mathematical properties 4.1 Probability weighted moments The PWMs are expectations of certain functions of a random variable and they can be defined for any random variable whose ordinary moments exist. The PWMs ...

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ESTIMATING EXTREME VALUES IN DELAY-MEASUREMENTS VIA PROBES

ESTIMATING EXTREME VALUES IN DELAY-MEASUREMENTS VIA PROBES

... model. The parameter estimates in Table 1 indicate that the distribution of the delays is heavy tailed. The tail index α = 1 = ξ seems to be between 3 and 5. The confidence interval for the block-size of 14400 is ...

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CAS: Estimating the Parameter Risk of a Loss Ratio Distribution—Revisited

CAS: Estimating the Parameter Risk of a Loss Ratio Distribution—Revisited

... the parameter variance-covariance matrix. Using these parameter means and covariances, sets of correlated param- eters can be generated using a multivariate normal distribution—the asymptotic limiting ...

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Parameter Values of Android APIs: A Preliminary Study on 100,000 Apps

Parameter Values of Android APIs: A Preliminary Study on 100,000 Apps

... harvested values, one can for instance suggest appropriate parameter values to developers who would want to use m in the ...string parameter named ...the parameter value simply ...

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Estimating dynamic signals from trial data with censored values

Estimating dynamic signals from trial data with censored values

... alternative parameter estimation method us- ing a deletion-based approach, which outperforms the EM algorithm when the data set has a substantial number of missing data ...such parameter estimation ...

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Estimating intrinsic currency values

Estimating intrinsic currency values

... The fact that the intrinsic values of all currencies are lower than 100 in 2007 corresponds to inflation eroding the value of all the currencies. n The carry trade during the subprime crisis. In recent years, an ...

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Modeling and estimating uncertainty in parameter estimation

Modeling and estimating uncertainty in parameter estimation

... estimated parameter as a random variable with unknown distribution, we conceptually reformulate the deterministic parameter estimation problem into a problem of estimation of a random variable using sampled ...

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Estimating location values of agricultural land

Estimating location values of agricultural land

... determined the BRW. 5 The rationale of choosing these covariates is as follows: One might conjecture that experts tend to oversmooth location values in areas with high soil quality, i.e., high land prices. ...

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Three or More-parameter Distributions for Estimating Incomes

Three or More-parameter Distributions for Estimating Incomes

... This paper explains three and over parameter distributions which include the Singh-Maddala distribution proposed by Singh and Mad- dala(1 9 7 6)and the generalized beta distribution of t[r] ...

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Logarithmic Convexity of the One-Parameter Mean Values

Logarithmic Convexity of the One-Parameter Mean Values

... LOGARITHMIC CONVEXITY OF THE ONE-PARAMETER MEAN VALUES WING-SUM CHEUNG AND FENG QI Abstract. In this article, the logarithmic convexity of the one-parameter mean values J(r) and the ...

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Estimating Health State Utility Values for Comorbidities

Estimating Health State Utility Values for Comorbidities

... model, estimating a HSUV for diabetes and the comorbidity heart attack, analysts would use evidence obtained from people with diabetes (but no history of a heart attack) and evidence obtained from people with a ...

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Estimating Health State Utility Values for Comorbidities

Estimating Health State Utility Values for Comorbidities

... model, estimating a HSUV for diabetes and the comorbidity heart attack, analysts would use evidence obtained from people with diabetes (but no history of a heart attack) and evidence obtained from people with a ...

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