Relevant bibliographies by topics / Minimum limiting variance of the estimate

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  2. Dissertations / Theses
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Academic literature on the topic 'Minimum limiting variance of the estimate'

Author: Grafiati
Published: 30 May 2022
Last updated: 31 July 2025

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Journal articles on the topic "Minimum limiting variance of the estimate"

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Turovsky, A. L., and O. V. Drobik. "PROCEDURE FOR EVALUATION OF THE SUPPORTING FREQUENCY SIGNAL OF THE SATELLITE COMMUNICATION SYSTEM IN CONTINUOUS MODE." Radio Electronics, Computer Science, Control, no. 2 (June 26, 2021): 28–38. http://dx.doi.org/10.15588/1607-3274-2021-2-3.

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Context. One of the features of satellite communication systems is the advantageous use in them during the reception of the signal in the continuous mode of phase modulation of signals intended for the transmission of useful information. The use of this type of modulation requires solving the problem of estimating the carrier frequency of the signal. And the estimation itself is reduced to the problem of estimating the frequency of the maximum in the spectrum of a fragment of a sinusoidal signal against the background of additive Gaussian noise. The article considers the process of estimating
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Pandey, Gaurav, James McBride, Silvio Savarese, and Ryan Eustice. "Automatic Targetless Extrinsic Calibration of a 3D Lidar and Camera by Maximizing Mutual Information." Proceedings of the AAAI Conference on Artificial Intelligence 26, no. 1 (2021): 2053–59. http://dx.doi.org/10.1609/aaai.v26i1.8379.

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This paper reports on a mutual information (MI) based algorithm for automatic extrinsic calibration of a 3D laser scanner and optical camera system. By using MI as the registration criterion, our method is able to work in situ without the need for any specific calibration targets, which makes it practical for in-field calibration. The calibration parameters are estimated by maximizing the mutual information obtained between the sensor-measured surface intensities. We calculate the Cramer-Rao-Lower-Bound (CRLB) and show that the sample variance of the estimated parameters empirically approaches
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Robin, Jean-Marc, and Richard J. Smith. "TESTS OF RANK." Econometric Theory 16, no. 2 (2000): 151–75. http://dx.doi.org/10.1017/s0266466600162012.

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This paper considers tests for the rank of a matrix for which a root-T consistent estimator is available. However, in contrast to tests associated with the minimum chi-square and asymptotic least squares principles, the estimator's asymptotic variance matrix is not required to be either full or of known rank. Test statistics based on certain estimated characteristic roots are proposed whose limiting distributions are a weighted sum of independent chi-squared variables. These weights may be simply estimated, yielding convenient estimators for the limiting distributions of the proposed statistic
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Hambly, Ben. "On the limiting distribution of a supercritical branching process in a random environment." Journal of Applied Probability 29, no. 3 (1992): 499–518. http://dx.doi.org/10.2307/3214889.

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We consider an increasing supercritical branching process in a random environment and obtain bounds on the Laplace transform and distribution function of the limiting random variable. There are two possibilities that can be distinguished depending on the nature of the component distributions of the environment. If the minimum family size of each is 1, the growth will be as a power depending on a parameter α. If the minimum family sizes of some are greater than 1, it will be exponential, depending on a parameter γ. We obtain bounds on the distribution function analogous to those found for the s
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Hambly, Ben. "On the limiting distribution of a supercritical branching process in a random environment." Journal of Applied Probability 29, no. 03 (1992): 499–518. http://dx.doi.org/10.1017/s0021900200043345.

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We consider an increasing supercritical branching process in a random environment and obtain bounds on the Laplace transform and distribution function of the limiting random variable. There are two possibilities that can be distinguished depending on the nature of the component distributions of the environment. If the minimum family size of each is 1, the growth will be as a power depending on a parameter α. If the minimum family sizes of some are greater than 1, it will be exponential, depending on a parameter γ. We obtain bounds on the distribution function analogous to those found for the s
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Ghasemi Naraghi, Mehdi, and Yousef Alipouri. "Minimum variance lower bound estimation with Gaussian Process models." Transactions of the Institute of Measurement and Control 40, no. 6 (2017): 1799–807. http://dx.doi.org/10.1177/0142331217690802.

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In this paper, we utilize the probability density function of the data to estimate the minimum variance lower bound (MVLB) of a nonlinear system. For this purpose, the Gaussian Process (GP) model has been used. With this model, given a new input and based on past observations, we naturally obtained the variance of the predictive distribution of the future output, which enabled us to estimate MVLB as well as estimation uncertainty. Also, an advantage of the proposed method over others is its ability to estimate MVLB recursively. The application of this method to the real-life dynamic process (e
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Huang, Yu-Lun, Jaehun Jung, Colin M. S. Mulligan, Jaekeun Oh, and Marc F. Norcross. "A Majority of Anterior Cruciate Ligament Injuries Can Be Prevented by Injury Prevention Programs: A Systematic Review of Randomized Controlled Trials and Cluster–Randomized Controlled Trials With Meta-analysis." American Journal of Sports Medicine 48, no. 6 (2019): 1505–15. http://dx.doi.org/10.1177/0363546519870175.

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Background: Anterior cruciate ligament (ACL) injury prevention programs (IPPs) are generally accepted as being valuable for reducing injury risk. However, significant methodological limitations of previous meta-analyses raise questions about the efficacy of these programs and the extent to which meeting current best-practice ACL IPP recommendations influences the protective effect of these programs. Purpose: To (1) estimate the protective effect of ACL IPPs while controlling for common methodological limitations of previous meta-analyses and (2) systematically categorize IPP components and fac
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Dai, Zhi Hua, Yu An Pan, and Jie Yao. "Parameters Recursive Identification of Minimum Variance Control." Applied Mechanics and Materials 347-350 (August 2013): 15–18. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.15.

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we discuss the problem of parameters recursive identification and designing of optimal input signal for minimum variance control from the point of system identification. we propose multi-innovation recursive least-squares identification method and separable iterative recursive least-squares identification method to identify and estimate it on line. Finally, the efficiency and possibility of the proposed strategy can be confirmed by the simulation example results.
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Narita, Yasuhito, Yoshihiro Nishimura, and Tohru Hada. "Minimum variance projection for direct measurements of power-law spectra in the wavenumber domain." Annales Geophysicae 35, no. 3 (2017): 639–44. http://dx.doi.org/10.5194/angeo-35-639-2017.

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Abstract. Minimum variance projection is widely used in geophysical and space plasma measurements to identify the wave propagation direction and the wavenumber of the wave fields. The advantage of the minimum variance projection is its ability to estimate the energy spectra directly in the wavenumber domain using only a limited number of spatial samplings. While the minimum variance projection is constructed for discrete signals in the data, we find that the minimum variance projection can reasonably reproduce the spectral slope of the power-law spectrum if the data represent continuous power-
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Rubesam, Alexandre, and André Lomonaco Beltrame. "Carteiras de Variância Mínima no Brasil." Brazilian Review of Finance 11, no. 1 (2013): 81. http://dx.doi.org/10.12660/rbfin.v11n1.2013.5830.

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We investigate minimum variance portfolios in the Brazilian equity market using different methods to estimate the covariance matrix, from the simple model of using the sample covariance to multivariate GARCH models. We compare the performance of the minimum variance portfolios to those of the following benchmarks: (i) the IBOVESPA equity index, (ii) an equally-weighted portfolio, (iii) the maximum Sharpe ratio portfolio and (iv) the maximum growth portfolio. Our results show that the minimum variance portfolio has higher returns with lower risk compared to the benchmarks. We also consider long
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Dissertations / Theses on the topic "Minimum limiting variance of the estimate"

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Туровський, Олександр Леонідович, Александр Леонидович Туровский та Oleksandr Leonidovych Turovsky. "Моделі та методи підвищення точності роботи систем фазової синхронізації супутникових телекомунікацій в режимі стеження за несучою частотою". Thesis, Національний авіаційний університет, 2021. https://er.nau.edu.ua/handle/NAU/49647.

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У дисертаційній роботі вирішується актуальна науково-технічна проблема розроблення моделей та методів підвищення точності роботи систем фазової синхронізації супутникових телекомунікацій в режимі стеження за несучою частотою. У роботі розроблено моделі та методи синтезу комбінованої системи фазової синхронізації когерентних демодуляторів в режимі стеження за несучою частотою в сталому та перехідному режимах роботи супутникових телекомунікації, які дозволяють синтезувати комбіновані системи синхронізації з суттєвими перевагами по швидкодії і точності оцінки несучої частоти на відміну від
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Book chapters on the topic "Minimum limiting variance of the estimate"

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Kovačević, Branko, Zoran Banjac, and Tomislav Unkašević. "Perspective Chapter: Approximate Kalman Filter Using M-Robust Estimate Dynamic Stochastic Approximation with Parallel Adaptation of Unknown Noise Statistics by Huber’s M-Robust Parameter Estimator." In Kalman Filters -Theory, Applications, and Optimization [Working Title]. IntechOpen, 2024. http://dx.doi.org/10.5772/intechopen.1004294.

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The problem of designing a feasible adaptive M-robustified Kalman filter in a case of a thick-tailed Gaussian environment, characterized by impulsive noise-inducing observation and innovation outliers, and/or errors in mathematical model-inducing structural outliers, has been considered. Firstly, the time-varying criterion is used to generate a family of dynamic stochastic approximation algorithms. The M-robust estimate stochastic approximation is derived by minimizing the minimum variance criterion, the estimates of the latter being combined with the one-step minimum mean square error predict
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Sasayama, Teruyoshi, Shoji Hamada, and Tetsuo Kobayashi. "Application of Prewhitening Beamformer with Linear Constraints for Correlated EEG Signal Source Estimation." In Advances in Bioinformatics and Biomedical Engineering. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2113-8.ch025.

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To investigate the effect of signal correlation, the authors compared the relative abilities to estimate the source of an ERD/ERS signal among minimum variance beamformer (MVBF), linearly constrained (LC)-MVBF, prewhitening beamformer (PWBF), and LC-PWBF during the measurement of correlated signals. In numerical simulations, equivalent current dipoles were placed in the primary motor cortex to detect the modulation of µ and ß rhythms. It was confirmed that the location bias of LC-PWBF was smaller than that of MVBF, LC-MVBF, and PWBF. These results suggest that LC-PWBF is useful for estimating
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Poliarus, Oleksandr, and Yevhen Poliakov. "Detection of Landmarks by Mobile Autonomous Robots Based on Estimating the Color Parameters of the Surrounding Area." In Examining Optoelectronics in Machine Vision and Applications in Industry 4.0. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-6522-3.ch008.

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Remote detection of landmarks for navigation of mobile autonomous robots in the absence of GPS is carried out by low-power radars, ultrasonic and laser rangefinders, night vision devices, and also by video cameras. The aim of the chapter is to develop the method for landmarks detection using the color parameters of images. For this purpose, the optimal system of stochastic differential equations was synthesized according to the criterion of the generalized variance minimum, which allows to estimate the color intensity (red, green, blue) using a priori information and current measurements. The
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Polyak, Ilya. "Variability of ARMA Processes." In Computational Statistics in Climatology. Oxford University Press, 1996. http://dx.doi.org/10.1093/oso/9780195099997.003.0006.

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In this chapter, the numerical and pictorial interpretation of the dependence of the standard deviation of the forecast error for the different types and orders of univariate autoregressive-moving average (ARMA) processes on the lead time and on the autocorrelations (in the domains of the permissible autocorrelations) are given. While the convenience of fitting a stochastic model enables us to estimate its accuracy for the only time series under consideration, the graphs in this chapter demonstrate such accuracy for all possible models of the first and second order. Such a study can help in ev
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Civan, Peter, Renaud Rincent, Alice Danguy-Des-Deserts, Jean-Michel Elsen, and Sophie Bouchet. "Population Genomics Along With Quantitative Genetics Provides a More Efficient Valorization of Crop Plant Genetic Diversity in Breeding and Pre-breeding Programs." In Population Genomics. Springer International Publishing, 2021. http://dx.doi.org/10.1007/13836_2021_97.

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AbstractThe breeding efforts of the twentieth century contributed to large increases in yield but selection may have increased vulnerability to environmental perturbations. In that context, there is a growing demand for methodology to re-introduce useful variation into cultivated germplasm. Such efforts can focus on the introduction of specific traits monitored through diagnostic molecular markers identified by QTL/association mapping or selection signature screening. A combined approach is to increase the global diversity of a crop without targeting any particular trait.A considerable portion
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Conference papers on the topic "Minimum limiting variance of the estimate"

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Bílková, Diana. "Financial Potential of Czech Employees from the Perspective of Gender Statistics." In Liberec Economic Forum 2023. Technical University of Liberec, 2023. http://dx.doi.org/10.15240/tul/009/lef-2023-01.

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In the third quarter of 2022, the average gross monthly nominal wage rose by 6.1 percent compared to last year, but in real terms it fell by 9.8 percent due to inflation. The decline is the same as in the previous quarter. Inflation and a real drop in average wages have already forced three quarters of employees significantly to reduce some expenses. Considering the current situation, the biggest savings relate to holidays, eating out in restaurants, culture or sports activities. In general, people save by limiting purchases of better or better quality products or services, as well as branded
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Garbar, S. "Stochastic differential equations for limiting description of UCB rule for Gaussian multi-armed bandits." In Stochastic Modeling and Applied Research of Technology. Crossref, 2023. http://dx.doi.org/10.57753/smarty.2023.71.99.002.

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We consider the upper confidence bound strategy for Gaussian multi-armed bandits with known control horizon sizes N and build its limiting description with a system of stochastic differential equations and ordinary differential equations. Rewards for the arms are assumed to have unknown expected values and known variances. A set of Monte-Carlo simulations was performed for the case of close distributions of rewards, when mean rewards differ by the magnitude of order N −1/2, as it yields the highest normalized regret, to verify the validity of the obtained description. The minimal size of the c
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Tewfik, A. H. "Minimum support object reconstruction from diffraction-limited images." In OSA Annual Meeting. Optica Publishing Group, 1989. http://dx.doi.org/10.1364/oam.1989.fn4.

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We study the problem of reconstructing the minimum support object that is consistent with a given image of the object produced by a not necessarily isoplanatic diffraction-limited imaging system. We assume without loss of generality that the object lies entirely in the first quadrant and its support is tangent to both coordinate axes. Furthermore, we assume that the size of the given image is larger than that of the object. We begin by discretizing the imaging equation to obtain a linear system of the form where x and y are vectors made of samples of the object and image, respectively, n is a
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Pronkin, A. V. "Noise Level Estimation in Images Using Haar Wavelets." In 32nd International Conference on Computer Graphics and Vision. Keldysh Institute of Applied Mathematics, 2022. http://dx.doi.org/10.20948/graphicon-2022-442-448.

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The paper investigates the possibility and expediency of using the Haar wavelet transform in the problem of estimating the level of discrete Gaussian noise in an image. An algorithm is proposed that uses Haar wavelets to obtain an estimate of the variance of discrete Gaussian noise in a digital image. To reduce the influence of image fragments with a large proportion of high-frequency oscillations of the useful signal, the image is divided into blocks, followed by the selection of blocks with a minimum dispersion. The proposed algorithm is compared with a method based on the use of difference
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Zhang, Jinzhao, S. M. Bajorek, R. M. Kemper, M. E. Nissley, N. Petkov, and L. E. Hochreiter. "Application of the WCOBRA/TRAC Best Estimate Methodology to the AP600 Large-Break LOCA Analysis." In ASME 1997 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/imece1997-0603.

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Abstract The AP600 is a simplified advanced pressurized water reactor (PWR) design incorporating passive safety systems that perform the same function as the active emergency core cooling systems (ECCSs) on the current reactors. In order to verify the effectiveness of the AP600 design features for mitigation of a postulated large-break loss-of-coolant accident (LOCA), the recently USNRC-approved best-estimate LOCA methodology (BELOCA) was applied to perform the AP600 standard safety analysis report large-break LOCA analysis. The applicability of the WCOBRA/TRAC code to model the AP600 unique f
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Basak, Shamik, and Sushanta Kumar Panda. "Application of Barlat Yld-96 Yield Criterion for Predicting Formability of Pre-Strained Dual Phase Steel Sheets." In ASME 2016 11th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/msec2016-8753.

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The selection of advanced material model considering the anisotropy mechanical properties of the thin sheet is vital in order to estimate stress based forming limit diagram (σ-FLD). In present study associative plasticity theory was applied indulging Barlat Yld-96 anisotropy yield function and the Swift hardening law was implemented for estimating the limiting stresses from the conventional strain FLD (ε-FLD) of an automotive grade dual phase steel DP600. Three different approaches were made to evaluate Yld-96 anisotropy coefficients using experimental results of stack compression and tensile
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Amorena, M., M. Barsanti, M. Gubinelli, and M. Vitali. "Monte Carlo Simulation of Tests for the Determination of Gear Design Allowable Stresses." In ASME 2003 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/detc2003/ptg-48004.

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In this work the design of fatigue test experiments to be performed on a new high-speed gear test rig is discussed. Several methods are compared and an optimal design is derived using a new statistical criterion of analysis. The main problem is to determine the minimum number of gears to be tested in order to obtain, with a given confidence level, correct indications of the distribution of bending and pitting fatigue resistance of such test gears. To solve this problem the most efficient experimental method has to be chosen first. From the statistical point of view the fatigue resistance is a
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Siegel, Nathan P., and Ben Conser. "A Techno-Economic Analysis of Solar-Driven Atmospheric Water Harvesting." In ASME 2020 14th International Conference on Energy Sustainability. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/es2020-1619.

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Abstract Water may be produced from atmospheric humidity anywhere on Earth; however, current approaches are energy intensive and costly, thus limiting the deployment of atmospheric water harvesting (AWH) technologies. A system level thermodynamic model of several AWH pathways is presented to elucidate the important energy flows in these processes as a means to reducing the energy required to produce a unit of water. Model results show that fresh water may be produced from humid air via processes driven solely with solar electricity in an arid climate with an energy input between 158 kWhe/m3 an
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Das, Manohar, Saad Jarid, Meng Xu, and Xia Wang. "A FAST AND SAFE QUASI-OPTIMAL CHARGING STRATEGY FOR LI-ION BATTERIES." In 2024 NDIA Michigan Chapter Ground Vehicle Systems Engineering and Technology Symposium. National Defense Industrial Association, 2024. http://dx.doi.org/10.4271/2024-01-3793.

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<title>ABSTRACT</title> <p>This paper presents a fast and safe quasi-optimal multistage constant current (MCC) charge pattern optimization strategy for Li-ion batteries. It is based on an integrated electro-thermal model that combines an electrical equivalent circuit (EEC) battery model with a thermal battery model. The EEC model is used to predict the battery’s terminal voltage continuously as charging progresses, while its temperature rise is also estimated continuously by employing the thermal model. This integrated electro-thermal battery model is utilized to search for a
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Dipaola, Vincenzo, Giuseppe Carlo Marano, and Rita Greco. "Stochastic Analysis of Sensitivity and Efficiency of Base Isolation System in Seismic Structural Protection." In ASME 2002 Pressure Vessels and Piping Conference. ASMEDC, 2002. http://dx.doi.org/10.1115/pvp2002-1448.

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In this research the seismic response of structures isolated at the base by means of High Damping Laminated Rubber Bearings (HDRB) is evaluated. The analysis is performed by using a stochastic approach and a Gaussian zero mean non stationary stochastic process is used in order to model the seismic acceleration acting at the base of the structure. In order to take into account of the non-linear constitutive behavior both of the base isolation device and of the structure, the hysteretic differential Bouc-Wen model (BWM) is adopted. Moreover, the stochastic linearization method in the time domain
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