Group mean parameter estimates for [HHb + Mb] kinetics
Some New Estimates of Shadow Economy for 80 Countries Using Pooled Mean Group Estimator
... Since currency in circulation is a subset of the money demand, thus, the currency demand is modelled as a function of a scale variable (often measured by real income) to account for transactions demand, the opportunity ...
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Efficient Parameter Inference for Stochastic Chemical Kinetics
... chemical kinetics requires an efficient estimation of reaction rates or parameters which is often needed in systems biology involves ...chemical kinetics paradigm, the continuum assumption of the number of ...
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Globally optimal parameter estimates for nonlinear diffusions
... An appealing feature of the EML algorithm described above is that it circum- vents the iterative process that is ubiquitous in the general EM framework. The in- vertibility of matrix A is, by Proposition 2, equivalent to ...
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Best Parameter Interval for Ridge Estimates by Resampling Method
... Ridge Estimates Among several well known procedures Ridge Regression, as proposed by Hoerl and Kennard [1], is one of the popular, albeit controversial, estimation procedures for combating ...smaller mean ...
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Theoretical and empirical estimates of mean-variance portfolio sensitivity
... investor maximizes the objective function (utility) B(w) = µ T w − γ 2 w T Σw, (1) where w denotes portfolio holdings specified in terms of fractions of the wealth, and the constant γ > 0 is the investor’s risk aversion ...
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Global Estimates of Mean Years of Schooling: A New Methodology
... Handling of the unknown education group can impact the results if the share is non- negligible. We assume random distribution and do not attribute unknowns to any single category; UIS claims to follow the same ...
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Genetic parameter estimates for weaning weight and Kleiber ratio in goats
... 3. Results and Discussion 3.1 Least square means and standard error of fixed effects for WW and KR in goat Least square means of year-season of birth, sex and birth type for WW and KR are presented in Table 2. These ...
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The Effects of Examinee Motivation on Multiple-Choice Item Parameter Estimates
... Scatterplots of mean item parameter estimates (over 100 replications) for an item with true parameters a = 1.5,b = Oand c = .2, calibration group size n=2,000, by examinee motivation a[r] ...
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Bayesian Posterior Mean Estimates for Poisson Hidden Markov Models
... posterior mean estimates (or Bayes’ estimate) of the parameter set of Poisson hidden Markov models in which the observation sequence is generated by a Poisson distribution whose parameter ...
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Edgeworth expansions for spectral density estimates and studentized sample mean.
... sample mean, can be based on a parameterization of the spectral density, as when an autoregressive moving average model of given order is assumed+ However, if the parameter- ization is incorrect ~e+g+, if ...
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Effect of Adjusting Pseudo-Guessing Parameter Estimates on Test Scaling When Item Parameter Drift Is Present
... a mean shift of .02 and the SD of the c-parameter estimates about ...the mean shift approached ...c-parameter estimates on the scale ...the estimates from the previous ...
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hHB: a Harder HB+ Protocol
... The main idea is to let the reader choose a random n-bit secret Γ and then sends it to the tag in a secure way. The random binary string Γ is a concatenation of the secrets x and y of the HB + protocol. Our protocol ...
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Properties of a class of mean dependent on a parameter
... This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, d[r] ...
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Discontinuous Parameter Estimates with Least Squares Estimators
... squares estimates and hence are a mechanism through which least squares can be used to estimate discontinuous ...Idaho. Parameter estimates are found that combine two different types of measurements, ...
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Sharp two parameter bounds for the identric mean
... In this paper we continue the search for nontrivial bounds for the identric mean by studying a new family of two parameter means of two variables. The article is organized as follows. In Sect. 2 we present ...
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Logarithmic Convexity of the One-Parameter Mean Values
... ONE-PARAMETER MEAN VALUES WING-SUM CHEUNG AND FENG QI ...one-parameter mean values J(r) and the monotonicity of the product J(r)J(−r) with r ∈ R are ...
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Optimal two parameter geometric and arithmetic mean bounds for the Sándor–Yang mean
... Sándor–Yang mean in terms of certain families of the two-parameter geometric and arithmetic mean and the one-parameter geometric and harmonic ...Yang mean and the inverse tangent ...
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Optimal bounds for Neuman-Sándor mean in terms of one-parameter centroidal mean
... Liu, Optimal bounds for Neuman-S´aandor mean in terms of the con- vex combinations of harmonic, geometric, quadratic, and contraharmonic means, Abstr. Jiang and Y.-M[r] ...
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Kinetics of heterogeneous nucleation for low mean cluster populations
... lassial theory is lost when one deals with very small partile sizes. Note that the stohasti model gives a smaller nuleation rate, but a higher mean population of monomers than the lassial predition, sine a higher ...
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A study on the characteristics of rainfall data and its parameter estimates
... The rainfall data is a unique data series since it consist of zeroes and non-zero values. Zero values indicate non-rainy days while the non-zero values represent the rainy days. Due to the characteristic of the rainfall ...
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