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Bayesian Hierarchical Modeling for Variance Estimation in Biopharmaceutical Processes
Published 2025-02-01Subjects: “…heteroskedastic process modeling…”
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Rule of phases and variance of phase processes in systems with fixed components.
Published 2009-10-01“…The rule of phases for systems with fixed components and variance of phase processes in such systems, including variance of one-stage phase processes and process of extractive rectification taking into account intensive, extensive and constructive variables is considered…”
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Continuous-Time Mean-Variance Portfolio Selection under the CEV Process
Published 2014-01-01“…We consider a continuous-time mean-variance portfolio selection model when stock price follows the constant elasticity of variance (CEV) process. …”
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Invariance principle for independent random variables with infinite variance
Published 2023-09-01Get full text
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Fixed accuracy confidence intervals for variance under first-order stationary autoregressive processes
Published 2024-12-01“…A sequential procedure is developed to construct a fixed accuracy confidence interval (CI) of the common unknown variance of the random observations, where the observations arise from a first-order stationary autoregressive (AR(1)) process with a continuous and symmetric error distribution having mean zero and finite fourth-order moment. …”
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Mean-variance investment and risk control strategies for a dynamic contagion process with diffusion
Published 2024-11-01Subjects: Get full text
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Variance exchange process: overcoming the problem of singular information matrices in quadratic three−variable response designs
Published 2024-12-01Subjects: “…Variance Exchange Process, Three-variable Quadratic Designs, Singular Information Matrix, Generalized Inverse…”
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Compensation for vibration signal power variance when changing equipment speed mode
Published 2020-09-01Get full text
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The formal demography of kinship VI: Demographic stochasticity and variance in the kinship network
Published 2024-11-01“…BACKGROUND: Although the matrix model for kinship networks includes many demographic processes, it is deterministic. It provides values of age-stage distributions of kin, but no information on (co)variances. …”
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Grasping Variance in Word Norms: Individual Differences in Motor Imagery and Semantic Ratings
Published 2025-01-01“…The results suggest that there are measurable systematic differences in how participants make sensorimotor semantic ratings, which has implications for how sensorimotor semantic word norms are used for investigations of lexical semantic processing.…”
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Noise2Variance: Dual networks with variance constraint for self‐supervised real‐world image denoising
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How Do Microphysical Processes Influence Large‐Scale Precipitation Variability and Extremes?
Published 2018-02-01“…It is shown that cloud microphysical processes regulate the precipitable water (PW) statistics. …”
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Joint monitoring of mean and variance using Max-EWMA control chart under lognormal process with application to engine oil data
Published 2024-06-01“…This article proposed a maximum exponential weighted moving average control chart for joint monitoring of mean and variance under a lognormal process. The proposed control chart is evaluated by using the run length profile such as ARL and SDRL. …”
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Estimation of Non-Normal Process Capability Indices
Published 2021-06-01Subjects: “…process capability indices…”
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An Improvement of Least Squares Theory: Theory of Least p-Variances Approximation and p-Uncorrelated Functions
Published 2025-07-01Subjects: “…Least p-Variance approximations…”
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Discounted-likelihood valuation of variance and volatility swaps
Published 2025-01-01“…The proposed framework embraces a worst-case perspective while exploiting the underlier’s stochastic process, representing a combination of robust optimization and stochastic programming. …”
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Optimizing the photodegradation process of low-density polyethylene using Taguchi's robust statistical design
Published 2025-07-01“…The present study employs the Taguchi statistical design for optimizing the photodegradation process of low-density polyethylene (LDPE) films by varying five significant parameters i.e., catalyst loading (%), exposure time (in days), pH, size of the films (cm x cm), and temperature (℃), simultaneously to determine the maximum photodegradation on LDPE. …”
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