Web-Based Parametric Effort Estimation for Mobile Application Development
Proceedings, 2022 Estimation methods are continuously being adapted to obtain better and clearer estimations needed to achieve development goals. Some estimation methods were invented before the modern mobile application technology that is currently available. Thus, these
Nur Ida Aniza Rusli +3 more
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Piezoelectric property optimization for piezoelectric single crystals using parametric estimation
Journal of Asian Ceramic Societies, 2023 The piezoelectric properties of a piezoelectric single crystal are typically determined using a resonance method. However, it is challenging to evaluate these properties in single crystals owing to their high sensitivity and property variations.
Ho-Yong Shin +4 more
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Profile Maximum Likelihood Estimation of Single-Index Spatial Dynamic Panel Data Model
Mathematics, 2023 In this paper, the spatial dynamic panel data (SDPD) model is extended to the single-index spatial dynamic panel data (Si-SDPD) model by introducing a nonlinear connection function to reflect the interaction between explanatory variables.
Mengqi Zhang, Boping Tian
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A Special Study of the Mixed Weighted Fractional Brownian Motion
Fractal and Fractional, 2021 In this work, we present the analysis of a mixed weighted fractional Brownian motion, defined by ηt:=Bt+ξt, where B is a Brownian motion and ξ is an independent weighted fractional Brownian motion.
Anas D. Khalaf +5 more
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Maximal uniform convergence rates in parametric estimation problems [PDF]
, 2008 This paper considers parametric estimation problems with independent, identically nonregularly distributed data. It focuses on rate efficiency, in the sense of maximal possible convergence rates of stochastically bounded estimators, as an optimality ...
Akahira +10 more
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Robust variance estimation and inference for causal effect estimation
Journal of Causal Inference, 2023 We present two novel approaches to variance estimation of semi-parametric efficient point estimators of the treatment-specific mean: (i) a robust approach that directly targets the variance of the influence function (IF) as a counterfactual mean outcome ...
Tran Linh +3 more
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Parametric Estimation of Diffusion Processes: A Review and Comparative Study
Mathematics, 2021 This paper provides an in-depth review about parametric estimation methods for stationary stochastic differential equations (SDEs) driven by Wiener noise with discrete time observations.
Alejandra López-Pérez +2 more
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Comparison of EVT Approach with Other Methods of Measuring Market Risk (VAR) in the Context of the Backtesting and Kupiec Test: Implications for Market Risk Management of Financial Institutions [PDF]
فصلنامه پژوهشهای اقتصادی ایران, 2017 In recent years, by using extreme value theory (EVT), researchers have estimated the market risk for rare events (crises) more accurately. This paper examines the different methods of measuring market risk at different levels of reliability. According to
Reza Taleblou, mohammad mahdi davoudi
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Computers, 2022 The problem of the electrical characterization of single-phase transformers is addressed in this research through the application of the crow search algorithm (CSA).
David Gilberto Gracia-Velásquez +2 more
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An Interpretation of the Dual Problem of the THREE-like Approaches [PDF]
, 2015 Spectral estimation can be preformed using the so called THREE-like approach. Such method leads to a convex optimization problem whose solution is characterized through its dual problem.
Zorzi, Mattia
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