Results 11 to 20 of about 233,915 (272)
ANALISIS PORTOFOLIO SAHAM LQ45 MENGGUNAKAN FUNGSI UTILITAS KUADRATIK
Utility function can use to give risk preference for investors who want to get the benefits gained meets investment targets. Quadratic utility functions on optimal portfolio is strongly influenced by the expected return and standard deviation.
KADEK FRISCA AYU DEVI +2 more
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Application of random regression models for genetic analysis of 305-d milk yield over different lactations of Iranian Holsteins [PDF]
Objective During the last decade, genetic evaluation of dairy cows using longitudinal data (test day milk yield or 305- day milk yield) using random regression method has been officially adopted in several countries.
Mahdi Elahi Torshizi +2 more
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The Garman–Klass Volatility Estimator Revisited
The Garman–Klass unbiased estimator of the variance per unit time of zero-drift Brownian Motion, is quadratic in the range-based financial-type data CLOSE−OPEN, MAX −OPEN , OPEN −MIN reported on regular time windows. Its variance, 7.4 times smaller than
Isaac Meilijson
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Optimization of Quantum Monte Carlo Wave Functions Using Analytical Energy Derivatives [PDF]
An algorithm is proposed to optimize quantum Monte Carlo (QMC) wave functions based on New ton's method and analytical computation of the first and second derivatives of the variati onal energy. This direct application of the variational principle yields
Lin, Xi +2 more
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The objective of this study was to estimate genetic parameters for body weight of beef cattle in performance tests. Different random regression models with quadratic B-splines and heterogeneous residual variance were fitted to estimate covariance ...
Daiane Cristina Becker Scalez +5 more
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Quadratic functional estimation in inverse problems [PDF]
We consider in this paper a Gaussian sequence model of observations $Y_i$, $i\geq 1$ having mean (or signal) $\theta_i$ and variance $\sigma_i$ which is growing polynomially like $i^\gamma$, $\gamma >0$.
Butucea, Cristina, Méziani, Katia
core +9 more sources
Joint Estimation Using Quadratic Estimating Function
A class of martingale estimating functions is convenient and plays an important role for inference for nonlinear time series models. However, when the information about the first four conditional moments of the observed process becomes available, the ...
Y. Liang, A. Thavaneswaran, B. Abraham
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The objective was to estimate (co)variance functions using random regression models (RRM) with Legendre polynomials, B-spline function and multi-trait models aimed at evaluating genetic parameters of growth traits in meat-type quail.
L.F.M. Mota +5 more
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Distributed Verification of Rare Properties using Importance Splitting Observers [PDF]
Rare properties remain a challenge for statistical model checking (SMC) due to the quadratic scaling of variance with rarity. We address this with a variance reduction framework based on lightweight importance splitting observers.
Jegourel, Cyrille +3 more
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Revisiting the functional bootstrap in TFHE
The FHEW cryptosystem introduced the idea that an arbitrary function can be evaluated within the bootstrap procedure as a table lookup. The faster bootstraps of TFHE strengthened this approach, which was later named Functional Bootstrap (Boura et al ...
Antonio Guimarães +2 more
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